2016年3月2日水曜日

SBS503 Behavioral Economics 授業メモ


とある学生がノートを公開しているようです。 

https://docs.google.com/file/d/0B4JUNQtZHukBeWdOVTR5NjEzM2s/edit
いつまで見れるのかはわからないので興味があればどうぞお早めにDLしてください。

(April 7th):時間選好・割引と健康行動の関係、完全にNeuroeconomics神経経済学の話です。


2014年4月8日 7:26
この手の話は、いわゆる生活習慣と言われるものに介入しようと考える専門職にとっては極めて重要な内容だと思います。 

このメモを公開した理由は、この授業によりこの手の話を毎年100人レベルで受けているHSPHが存在している米国に比べて、日本ではこの手の話はどの程度知られているのか(公衆衛生学関係者、および特にプライマリ医療関係者)と思ったこともありメモを公表しました。日本の代表的なSPHがある東大や京大や阪大ではこういうことは教えているのでしょうか?他の国のSPHも気になるなぁ。ご存知の方教えていただけますと幸いです。



個人的には、低い社会経済状況にいる人々といわゆる健康に悪い行動・状態(喫煙、運動しない、肥満、めちゃくちゃな食事など)は因果関係(関連ではなく因果)になっており、そのメカニズムの一部はこの分野で説明できると考えております。

そのメカニズムを明らかにして介入方法を開発できれば、低い社会経済状況にいる人々の健康行動を変えることができるのではないかと思っているので、この分野に興味があります(といいつつ脳MRIの話になると一気にやる気は無くなりますが・・俺は本当に医者なのだろうかと思う瞬間ですw)。



ちなみにJSHINE(http://park.itc.u-tokyo.ac.jp/dhsb/jshine/ではこの手のデータがあるので、何かしらの健康との関連を解析はできるはずです(どの程度Nが確保されているかわかりませんが・・・)。

誰か解析進めているんでしょうか?

とても一人でできる気がしないので、経済系の方で協力してくださる人いたら声かけてください、一緒にやりましょう(残念ながら今の今は、そのキャパは無いけど・・・)。



さて、時間選好と健康行動の解説を日本語でそれっぽいことを記述しているサイトがあまりないのですが、例えば以下。






時間選好については日本では阪大の大竹先生たちのグループが詳しいと思います。



本も出ているので興味ある人はアマゾンでどうぞ。



アウトカムは健康ではなく教育の何かですが、マシュマロの実験の例の動画が有名です(子どもがとても可愛い)




この手の話は、数式や数字や条件節がたくさん出てきます。

個人的にはこのレクチャーを英語でフォローしていくのは極めて困難と感じます。

元々内容を知っているのでなんとなく理解できますが、全く知らない状態で聞いたら極めて破滅的でしょう。(というかいつもと違い全体の雰囲気的に皆さんついてこれていない気がしますw)



時間選好は、調査をする国や聞くタイミングでかなり違うと思います。

実際授業中も、日本人ではない学生から(ってゆーか今日の授業の聴衆は100人くらいはいる気がするけど日本人は俺の他に1人だけか?)は、「今年の100ドルに相当するのは来年の200ドルとかそれ以上」とか、個人的には共感できない答え多数。

どんだけ近視的なのかそれとも将来が見えないのかそれとも明日の食事に困っている(遊びたい?)のかわかりませんが。

個人的には、来年せいぜい110ドルくらいでも、今年100ドルもらうことに十分勝ちます(多くの外国人の皆さんは来年の110ドルなら今年の100ドルがいいとおっしゃる)。

時間選好の国際比較のデータはすでに論文であったかと思いますが、正直、国内のデータは同一国内でしか利用できない気がします(=海外のデータは日本に使えない)。

時代もかわったら同一国内でも利用できないかも。なぜならその国の金利や経済情勢にかなり大きく影響を受けるからです(しかし異なる人の間での相対的な順位は多くは変わらないかも)。

今の日本で調査をしたら、かなり時間選好が低く出るでしょう(私のように)。

それは日本人そのものが保守的な考えであることだけではなく、国内経済状況がデフレだということも影響します。それがわかりにくければ逆の状況、つまり、ハイパーインフレの社会で考えればわかりやすいと思います。そんな社会では来年のお金の価値なんてわからない(信用できない=来年いくらもらえるにしても今もらうことの方が重要)ですよね。



さて、時間選好は、マイナス6%からプラスは無限大だそうですが、どう考えても合理的と思えないマイナスの解釈について議論アリ(無限大は不安定な社会で合理的に解釈可能)。

個人的にもマイナスはずっと疑問だった&回答者が質問をしっかり読んでいないとか考えていない証拠?とかと思っていました。

外科レジデントの例で、「来年忙しくなることが予想されている人(彼はたぶん今年は学生で暇だけど、来年はレジデントで金使う暇がないということか?と思います)にとっては来年たくさんもらってもしょうがないので、とにかく今年100ドルもらっておくプランの方が魅力的(忙しすぎる来年のお金なんてどうでも良い?来年は90ドルでも何ドルでも別にどうでもいい?来年度の金額は100ドルより多くても少なくても、選択するのは今年の100ドル?)という考えもあるのでは」かと。ふーん。まぁでも要するにやはりあるいみでの”自暴自棄”の結果の選択(=”合理的”ではない)には変わりないと思いました。



まぁあと外科のレジデントに限らず、個人的なライフイベントにも大きき影響されそうです。

子どもがいて今年お金が必要な人は、来年いくらあげると言われても今年受け取ることを選択しそうです

つまり、同じ人でもタイミングにより異なりそうです。

しかし個人的にお金が必要になったからと言って、その個人の健康行動が変化することは考えにくいです。

つまり、時間選好と健康行動との関係はそのようなライフイベントの存在によりゆがめられてしまう気がします。この関係を考えるときにはそういう限界も考慮に入れる必要がありそうだなぁと思いました(もしくは今年は特別お金がいる年ですか?とか他の質問で確認するとか?)。

まぁそういう誤差も集団で見れば相殺するという考えもあるでしょうが、この手の研究はサンプルも少なかったりするので、相殺できていないかもしれません。



長文につかれてきたので一気に割愛しますが(苦笑)、じゃぁ要するにここら辺の知見を公衆衛生にどう生かせるか?と考えると、例えば有効な検診をちゃんと受診したら、1万円あげるよ、みたいな枠組みを作ることで、特に低い社会経済状況にいる人の健康を改善できるかもしれません



などいろいろ考えた2時間でした。


 

Explaining Health Behavior: Insights from Behavioral EconomicsのTopic: Can we nudge our way to better food choiceのメモ

Guest Lecturer: Christina Roberto, Assistant Professor, SBS.




Ecuador becomes the first country in Latin America to approve traffic light labelling




上記のエクアドルの記事ですが、残念ながら日本語で紹介しているサイトが無かったので、私のアヤシイ日本語訳で解説しますと、要するに、食品に、赤・黄・緑とラベリングすることで、どの食品が健康に良いかをお知らせすることで国民の健康をよくしようという取り組みがエクアドルで去年末あたりから行われ、6カ月以内に大規模なお店で、1年以内には小さな店でも導入されるようですので、エクアドルに行かれる人(いるかな?)はぜひ状況を教えてください。

"Ecuador traffic light labelling"でグーグルで画像検索すると例が見れます。

例)




しかしながら、上記の記事には言及ありませんが、授業によると、人というものは「オーガニック」とか「低脂肪」とか健康によいラベリングがされると、油断するからでしょうか(?これは私の勝手な推測)、ラベリングしていないものを食べるよりも、よりたくさん食べてしまうようです(結果摂取過多)。実際の人のデータの紹介がありました。サブウェイとマクドナルドの比較でも、人はサブウェイの食べ物のエネルギー量を低く見積もっているという議論がありました。まぁ確かにそんな気もしますが、実際サブウェイは低エナジーです。個人的にはおなか一杯になってしまうので多くは食べれませんけどね。

 
食品のラベルを人は実際どれくらい見ているのか?については、某調査では4311人のうち、食品ラベルを見ていると答えたのはたったの6人と(意味ないね)

別の某調査によると、「食品ラベルをみている」と答えている人でも、その目の動きを実際にトラッキングしてみると、ラベルを全部見ている人はほとんどいないようです、数字忘れたけど10%以下だった気がする(意味ないね)。



まぁ結局ラベルだけだとだめじゃね?という雰囲気を醸成したところで、彼女自身の研究の紹介。



Evaluating the impact of menu labeling on food choices and intake.

Roberto CA1, Larsen PD, Agnew H, Baik J, Brownell KD.

PMID: 20019307

Am J Public Health. 2010 Feb;100(2):312-8. doi: 10.2105/AJPH.2009.160226. Epub 2009 Dec 17.



ちょっと専門的な話になりますが、研究対象者をランダムに以下のように3群に分け



(1) a menu without any calorie labels (no calorie labels);何もしない

(2) a menu with calorie labels (calorie labels); メニューに●●カロリーと表示

(3) a menu with calorie labels and a label at the top left corner of the menu that read, ‘‘The recommended daily caloric intake for an average adult is 2000 calories’’ (calorie labels plus information).メニューに●●カロリーと表示して、さらに「1日の摂取推奨量は2000です」と付記



んで、彼らに自由に夕食を食べてもらい、ラベリング、および、ラベリング+説明、の効果を見たと。



論文を読んで面白いと思ったのは、この研究では、実際に夕食でオーダーした・食べたものだけをカウントしているのではなく、夕食の後に(帰宅して?)食べたものも検討している点です。

ラベリング群では、帰宅後にデザートで”しっかり補充している”という点が面白いと思いました。(しかしどの群でも夕食だけで2000kcal近く食べているって食べ過ぎだと思いますけどねー。)







彼女の主張は「覚えていない(覚えにくい)ガイドラインに従うことができる人はいない」ということみたいです。

まぁそうですよね、いくら「この商品には塩分5グラムです」といったところで、1日の摂取量を理解していなければ評価のしようがありません(その点アメリカの食品ラベリングは、「この含まれている塩分は、1日摂取推奨量の20%です」と書いてあるので、その点は日本も見習うべきだと思います)。

そもそも覚えにくいものなんて覚えれないよね、ということです。

確かに、医者でさえ、適切な栄養についてちゃんといえる人なんてどんだけいるのかかなり疑問です(特に内科以外のお医者さん)。

そこで以前にも紹介したMy plateみたいなものに到達するのですね。


(この画像は以下のページ http://www.rivertea.com/blog/evolution-food-pyramid/ のかなり下にあります)



日本の素晴らしく複雑怪奇な「食事バランスガイド」も、わけわからん例(覚えるのが無理な例)として紹介されていました。https://www.pref.nagasaki.jp/shared/uploads/2013/07/1374806155.gif

他にも多数紹介あり、おもしろいね。

カナダ


中国


フランス


ドイツ


ハンガリーはシンプル








砂糖が体に悪いことをアピールする対照的な2つの動画。



The Real Bears(楽しい)https://www.youtube.com/watch?v=myxwCEGcBYc




どっちが効果的か?と。まぁよくわかりませんが、とくに子どもとかには前者が効果的でな気がします(シュガー♪シュガー♪と歌ってしまいそうです)。





ちょっと前に話題になったNYCでの砂糖入りの飲み物のサイズ規制の話(健康増進のためにね)




そしてそれに反対する(おそらく飲み物業界からの支持を受けている)運動




「BAN(廃止)」や「for the choice(選択権のために)」とかなんだかアメリカ人が(異常に)好きな言葉を巧みに使うことで支持の増加を狙っていると。

ちなみに一般の人には「research」とかの単語もウケがよろしく無いようですね。





まぁ今日の話は、かなり国民差がありそうです。

日本をよくするには、日本で独自の研究が必要だと思います。

日本はアメリカと違い、教育レベルもかなり高く、食生活習慣が大きく異なるので、同じことをやっても結果が異なる可能性は大いにあり得ると思います。






そして今日の本論とは関係ありませんが、今日はあらかじめ講義資料がパワポで公開されていなかったので、必要に応じてメモとろうかなと思ったのですが、その方が真面目に聞くかもしれないなと思いました。

資料を配布しないと、ノート取りに必死になって生徒が下ばかり向いてしまうという話を日本で聞いたことあります(紙の資料を配布しても結局メモを取る人は下を向き気がしますが)が、資料があると、あとから資料見直せば見ればいいやーという考えが生じ、結構理解が流れてしまうかもとも思いました。





Readings:



1. Chandon P, & Wansink B. Does food marketing need to make us fat? A review and solutions. Nutrition Reviews, 2012;70: 571-593.



2. Schwartz J, Riis J, Elbel B, Ariely D. Inviting consumers to downsize fast-food portions significantly reduces calorie consumption. Health Affairs, 2012;31:399-407.



3. Liu P.J., Wisdom, J., Roberto, C.A., Liu, L.J., & Ubel, P.A. (in press). Using behavioral economics to design more effective food policies to address obesity. Applied Economic Perspectives and Management.





追記:オバマ夫人がエルモなどと健康増進の運動に参加している図

The First Lady, Elmo, and Rosita Partner to Encourage Healthy F

SBS503BehavioralEconomicsSession 7 – April 14 (Monday)のメモ

過去の2つのノートとタイトルの標準化が図れていないのが問題ですが・・・(まぁいいやメモだし)



今日も講義資料が公開されていないゲストスピーカーだったのでメモ。せっかくなので公開。

いつも講義を聞いているときには、紹介されている研究内容を日本でどのように応用したら、日本をよくできるだろう?と考えながら聞いています(例:アメリカは肥満/エネルギー摂取過多の話が多いので、日本の高血圧/塩分摂取過多で考えてみるとか)が、難しいなぁと思います。



1.30-2.20 pm 

Topic: Behavioral approaches to reducing sugar-sweetened beverage consumption.

Guest Lecturer: Jason Block, Assistant Professor of Medicine, Harvard Medical School   



なぜ子どもは砂糖入りの飲み物を飲むか?

おいしい、やすい、元気が出る、仲間と集まる、市場にやられている、などなどが考えられます。それらを調べた論文(それで論文にできるのがすごい)

Block JP, Gillman MW, Linakis SK, Goldman RE. "If it tastes good, I'm drinking it": qualitative study of beverage consumption among college students. J Adolesc Health. 2013 Jun;52(6):702-6. Epub 2013 Feb 14.

Journal of Adolescent Health 52 (2013) 702e706



以下、めんどくさいので sugar-sweetened beverage (SSB) と省略。



次の介入によりSSBの消費をどのように減らせるか?

1)課税する 2)行動経済学 3)教育



1)課税する

アメリカは、州によって、食べ物・水・砂糖を含んだ飲み物、の税金が違う。 SSBの課税率は州により違う。ミシシッピ(肥満率がとても高いhttp://www.cdc.gov/obesity/data/adult.html)がソーダ税最高で7%。


sales taxとlarge size taxの違いは?:後者は製造者に課す税金→市場に並んだ時に売価が高くなるので、売れなくなる仕組み。Sales taxは値札に反映されない?(ここの解説よくわからんかった)



BWH(近所のHarvard の関連病院)のカフェテリアで実験:SSBに35%の税金。課税と教育とどちらが効果的か?それぞれwash outの時期を設置して効果を評価した。

→値段をあげると、普通のソーダの売り上げが減って、ダイエットソーダの売り上げが20%増えた。水の売り上げは変わらなかった。

他の国でも同じようなことをやった研究結果。

・J Health Econ. 2013 Jan;32(1):219-39. doi: 10.1016/j.jhealeco.2012.10.005. Epub 2012 Oct 23.

Implications of a sugar-sweetened beverage (SSB) tax when substitutions to non-beverage items are considered.

Finkelstein EA1, Zhen C, Bilger M, Nonnemaker J, Farooqui AM, Todd JE.

・BMJ. 2013 Oct 31;347:f6189. doi: 10.1136/bmj.f6189.

Overall and income specific effect on prevalence of overweight and obesity of 20% sugar sweetened drink tax in UK: econometric and comparative risk assessment modelling study.

Briggs AD1, Mytton OT, Kehlbacher A, Tiffin R, Rayner M, Scarborough P.



実際は同じ値段でも、税込み価格と税抜き価格、表示が違うと売り上げは変わるか?


SALIENCE AND TAXATION:

THEORY AND EVIDENCE

Raj Chetty

Adam Looney

Kory Kroft

Working Paper 13330


NATIONAL BUREAU OF ECONOMIC RESEARCH



2)行動経済学

人は飲み物にカロリーがあると想定しないこともあるらしい。食べ物は含んでいると理解できるが。調査によると25%がファーストフードのカロリーを500も(?)過小評価している?らしい。



Int J Obes Relat Metab Disord. 2000 Jun;24(6):794-800.

Liquid versus solid carbohydrate: effects on food intake and body weight.

DiMeglio DP1, Mattes RD.



飲み物の配置を、カロリーごとに変えてみて売り上げがどのように変わるかやってみた(向かって右側がゼロキロカロリーで左が高カロリー飲料、とかね)。



ゼロキロカロリーの飲み物は、SSBの課税により売上上昇。しかし配置を買えてだけでは何も変わらない。高いカロリーの飲み物は売り上げ減少。配置の変更でも減少。

→(坪谷の推測)配置換えは、何であっても飲む気をなくさせる?(飲み物をカロリーとして扱うので、食欲が失せる?)



配置により人の行動がどのように変わるか?


例:アイスクリームは隠すことで売り上げを減らせる



3)教育の効果

BWHのカフェテリアでやって実験。各食品に赤・緑・黄色とラベリング(南米でもやっているあれ。後述しますが実はEUでもやっていてイタリアで伝統的な食文化を崩壊させると反対が怒っている模様。保守とリベラルの対立はいろんなところで生じますね)





結果:食べ物の購入の分布は変わらず。飲み物は赤がちょっと減った?

ちなみに購入の波形はAT(心房頻拍)の心電図みたいだと(笑うところだがほとんど(笑)は起きず、講義室にMDが少ないのか、MDでも受けなかったのかは不明。個人的にはちょっと笑った。)。



他の教育方法についての動画(基本的には“恐怖系“。)









Readings:

  1. Block JP, Chandra A, McManus KD, Willett WC. Point-of-purchase price and education intervention to reduce consumption of sugary soft drinks. Am J Public Health. 2010 Aug;100(8):1427-33. doi: 10.2105/AJPH.2009.175687.


  1. Block JP, Gillman MW, Linakis SK, Goldman RE. "If it tastes good, I'm drinking it": qualitative study of beverage consumption among college students. J Adolesc Health. 2013 Jun;52(6):702-6. doi: 10.1016/j.jadohealth.2012.11.017.


  1. Block JP, Condon SK, Kleinman K, Mullen J, Linakis S, Rifas-Shiman S, Gillman MW. Consumers' estimation of calorie content at fast food restaurants: cross sectional observational study. BMJ. 2013 May 23;346:f2907. doi: 10.1136/bmj.f2907.


  1. Blcok JP. A substantial tax on sugar sweetened drinks could help reduce obesity. BMJ. 2013 Oct 31;347:f5947. doi: 10.1136/bmj.f5947.




その2:今日は前半と後半で違う人が講義



2.30-3.20 pm 

Topic: Behavioral economic interventions to promote healthy food choices



Guest Lecturer: Anne Thorndike, Assistant Professor of Medicine, Massachusetts General Hospital





今日の話す内容

1)background: obesity, healthy food choices and BE

2)traffic light labels and choice architecture(配置を変えること)

3)social norms and financial incentives

4)BE in a community setting



1)

USAの州別


肥満は遺伝子では説明できない以上に増えていると(肥満の増加は生活習慣で説明できるはず!という時に良く使われる話) 

彼女は、肥満に限らずすべての疾病は3つの分けて考えるとよいと考えているようだ。

HOST: non-modifiable:gene, age, gender/ modifiable:behaviors & attitude

Env: physical , economic sociocultural, policy

Vectors; PC, cars, energy-dense food, drinks



古典的経済学と行動経済学の違いの復習



Traditional econ(TE):ベストを知っておりどう行動すべきか判断できる→情報を提供する(多くの政策がこれに基づいている)

Behavioral econ:なわけない。




1)status quo:金曜日はピザ

2)今の本能に従ってしまう(おなかが空いているので一杯食べる)

など



カロリーを表示させることは、BEか?

→いやちがうでしょう。TEの前提とする合理的な人を前提としているので古典的な経済学の典型例。



2)

*traffic light labels(TLL) and choice architecture(配置を変えること)

TLLはMGHでやった。詳細は上にも書いてあるリンク。



MGHは雇用23000人、カフェテリア利用者は6000人。雇用者は、Platinum plateを使うとお得に食べれる。


Platinum plate には、年齢性別職種などの情報が入っているので、何を食べているかとリンケージして使うことができる(これすげーと思った。日本なら大学生協のカードでリンクできそうです。あとは社食があればそこでもできそうです)。

Phase1)ラベリング

Phase2)1から3か月後。Chioce artchitetureをやった。目線の上のところにグリーンの商品を置いた。チップも下。野菜は上。水をいろんなところに置きまくった(取りやすく)。→

Am J Public Health. 2012 Mar;102(3):527-33. doi: 10.2105/AJPH.2011.300391. Epub 2012 Jan 19.

A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices.

Thorndike AN1, Sonnenberg L, Riis J, Barraclough S, Levy DE.



ベースライン→P1でGが増えて、Rは減った。

人種別&ジョブタイプ別にも評価。



効果が長期間持続するかも評価した。

Am J Prev Med. 2014 Feb;46(2):143-9. doi: 10.1016/j.amepre.2013.10.002.

Traffic-light labels and choice architecture: promoting healthy food choices.

Thorndike AN1, Riis J2, Sonnenberg LM3, Levy DE4.



Conclusions: A traffic-light and choice architecture cafeteria intervention resulted in sustained

healthier choices over 2 years, suggesting that food environment interventions can promote longterm

changes in population eating behaviors.(Am J Prev Med 2014;46(2):143–149)



3)

*social norms and financial incentives

参照論文

・Social norms and energy conservation_Hunt Allcott

・A 2-Phase Labeling and Choice Architecture Intervention to Improve Healthy Food and Beverage Choices Anne N Thorndike_Am J Public Health_2012



4)

*BE in a community setting

MGHは特別なセッティングなので、一般化できるかな?

MGHとChelsea community centorとの協力で行っている(日本の保健所にもそういう柔軟性があればいいのにと思うがそれは無理な話。あぁ道州制・・・?)




Project 1  Chelsea corner, 35000residents



62%Latin、健康的な食品を変えないがけっこうある。

6つの店、3(介入)と3にわける

アウトカム1)WICフルール野菜の消費、2)出口での消費者の調査

裏話:各店に協力金として500ドル支払いした。



Project 2 Choose well/Elige bien!

1)全ての商品へのラベリングが有効かどうかを見る

2)経済的なインセンティブが有効かを確認する

アウトカム

1)飲み物の赤の消費量

2)飲み物の赤/緑の比率

対象:216人のRCT、Loyalty card5%値引き

ベスライン2か月、介入(ラベリング、赤を買わなければインセンティブ一か月25ドル→赤だけほかの店で買いそうだが・・まぁそれは両群同じ条件なのでOK)4か月

98%女性、97&ラテン、68%が店を週に2回以上利用、63%が生活の半分以上のものをその店で買っている。SNAP利用58%



Traffic light rating system


上記にまつわるニュース











Readings



Thorndike AN, Riis J, Sonnenberg LM, Levy DE. Traffic-light labels and choice architecture: promoting healthy food choices. Am J Prev Med. 2014 Feb;46(2):143-9. doi: 10.1016/j.amepre.2013.10.002.



Sonnenberg L, Gelsomin E, Levy DE, Riis J, Barraclough S, Thorndike AN. A traffic light food labeling intervention increases consumer awareness of health and healthy choices at the point-of-purchase. Prev Med. 2013 Oct;57(4):253-7. doi: 10.1016/j.ypmed.2013.07.001.



Thorndike AN, Sonnenberg L, Riis J, Barraclough S, Levy DE. A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices. Am J Public Health. 2012 Mar;102(3):527-33. doi: 10.2105/AJPH.2011.300391. Epub 2012 Jan 19. Erratum in: Am J Public Health. 2012 Apr;102(4):584.



Levy DE, Riis J, Sonnenberg LM, Barraclough SJ, Thorndike AN.  Food choices of minority and low-income employees: a cafeteria intervention.  American Journal of Preventive Medicine. 2012;43:240-248.







なんだか今日のスピーカーはどちらも穏やか(アメリカ人的にはアピールやパッションがが足りないとか言われそう)で聞きやすかった、きっと北欧系に違いないと勝手に思った(差別的な意味はありませんので・・)。個人的には、北欧系の人と話すと落ち着く、その逆のような人(先週のスピーカー)と話すと・・(以下自粛。



 April 30 social norm

2014年5月1日 5:23
Topics:
  • Social norms
  • Strategic interactions, social preferences, and behavioral game theory.

Learning Objectives:
1.  Define what is a “norm” – how is it different from customs
2.  Explain the rational choice theory account of norms. Critique it.
3.  Describe game theoretical accounts of norms (e.g. the norm for fairness and reciprocity).


Today’s Objectives: 
1. Define a norm and its essential features.
2. Describe uses of subjective norms in health messaging.
3. Understand the norm of fairness.

Definition of norm
1. Specify what actions are regarded as proper/correct vs. improper/incorrect.
2. Purposefully generated – people who maintain the norm see themselves as benefiting from its being observed – or harmed by its being violated.
3. Enforced by sanctions (reward/punishment).
Wikiも参考になるかと

Why do we have norms?
1. To counteract externalities:咳をするときに口に手を当てないと病原菌が拡大する
2. To coordinate actions:DCでは、エスカレータが立つのは右、歩く人は左(DC officialなコメントは歩いてはいけない、ということらしい。日本と同じですね)
3. To enforce solidarity:日本のサラリーマンが同じ格好をしていること

なぜnormを法律にしないか?
車の通るのが右というのは法律だがエスカレータは法律ではない
学生から出た意見
・危険すぎることは法律でそうでもないものはnorm
・法律にするには時間や手間などのコストがかかる
・法律にしても取り締まるのが大変

Economists’ view of norms
•Norms = set of rules that coordinate expectations and thereby reduce transaction costs in interactions that involve multiple equilibria.
•Either gold coins or sea shells could be used as money. There’s no “right” or “wrong” thing which could stand for currency.
•Or, people can drive on the left (as in UK, New Zealand, Japan), or on the right (USA, Europe). There is no “good” or “bad” side.


日本の東京と大阪ではエスカレーターで立つサイドが違う。なぜか?
→よくわからないが発言するようにエンカレッジされた(いままで散々授業で日本のことが言及されてもそんなことは無かったのだが・・)ようなので、「大阪の人は東京の人が嫌いだからだと思います」と答えてみた。もちろん正解ではないことはわかっていたが、聴衆は受けていたようなので、私の役割は無事に果たすことができた気がする。

カワチ先生の答え
・東京はサムライで、大阪は商人の文化
大阪は1970年にエクスポがあり阪急鉄道が右側に立てとしたか
など


Monetization
•Many norms are about money taboo.
•e.g. it’s acceptable in grad school to ask a friend to help with program code.
•How about paying them to do the analyses for your doctoral thesis?
•Monetization can destroy norms.

•Study conducted in 10 Israeli day-care centers.
•Norm = pick up your kids on time.
•At baseline: average ≍8 late pick-up of kids per week.
•N=6 centers selected for a new scheme in which parents were told they would be fined $3 if they were more than 10 minutes late.
•What happened next?

5th weekより罰金を開始
→軽い罰金を科すグループの方が遅刻が増えた!!
→つまり軽い罰金を科すことは「金払えば遅れてもいいんでしょ」と人を思わせてしまう。
一方で罰金を100ドルなどにすれば上記のような結果にはならなかったでしょう。
ちなみに罰金中止(17th week)後も、介入群では遅刻は続いた。一度normが崩れるとなかなか戻りませんね。

•Financial incentives backfired.
•When money entered the equation, the social norm for “doing the right thing” became transformed into an economic transaction.
•Arriving late to pick up kid used to be perceived as being a “bad parent”.
•Imposing a fine destroyed the norm, and made it OK to arrive late so long as you paid the small fine.

2.Describe uses of subjective norms in health messaging.

Subjective norms
•[from psychology]: an individual's perception of whether other people think the behavior should be performed.
•Theory of Planned Behavior(TPB) – behavioral intentions are shaped in part by perceived peer norms.

What does TPB say?
•Behavioral intention is determined by attitudes, subjective norms, and perceived control over the behavior.

Normative Beliefs in TPB
•Subjective norms from peer group:
“My friends think I’m a wuss(臆病者、怖がり、意気地なし、根性なし、弱虫、腰抜け)for not joining them when they smoke”.
•Subjective norms from family:
“My parents disapprove of smoking”.
•Subjective norms from society:
“Everyone is against smoking”.

Many students over-estimate the prevalence of binge drinking on campus. Why?
->availability heuristic. 少数の激しく飲む学生が象徴的で印象に残るので(マスコミの凶悪犯罪報道の影響に似ている)

•Over-estimating how much your friends drink can lead to your drinking too much. Why?
-> anchoring

•Problem becomes mutually reinforcing because once you start binge-drinking, your perception of your friends’ binge drinking becomes anchored on your own behavior.

•Implication: interventions need to re-norm these misperceptions.

but

•Social norms marketing can sometimes backfire.
•Some studies suggest an increase in binge drinking following such campaigns.
Why?

Important distinction
Descriptive Norms - perceptions of how other people are actually behaving, whether or not these are approved of.
Injunctive Norms - behaviors which are perceived as being approved/disapproved by other people.
* it’s the distinction between norm= “the most commonly observed behavior” vs. norm = “behavior that is approved by others”.



Robert Cialdini’s (2003) experiment
oDisplayed alternate signs during 5 consecutive weekends.
oPlaced secretly marked pieces of petrified wood along visitor trails.

Effects of eye images (こういうのねhttp://www.staff.ncl.ac.uk/melissa.bateson/Melissa_eyes.jpg) on everyday cooperative behavior


3. Understand the norm of fairness.

Contrasting assumptions(授業で何度も出ている復習。さてはテストに出るなw)
Homo economicus  ← →  Behavioral economics
Fully informed        Boundedly rational (heuristics & biases)
Forward looking       Bounded willpower (myopia)
Self-interested        Boundedly self-interested


The Ultimatum Game
•Imagine a 2-person game in which you (“the proposer”) are given $10 to split with your partner.
•You are free to propose any kind of split – e.g. “$6 for me, and $4 for you”.
•You are under no obligation to be “fair”.
•But once you make your offer, your partner is free to accept the deal or veto it, in which case neither of you will receive any money.
日本語でいうところの「最後通牒ゲーム」のことですね

Class survey
Now, pretend you are “the proposer”. How much of the $10 would you offer to your partner (someone you’ve never met before)?
I offer $ __ out of $10
クラスでは相手に5ドルをあげるのが最多。6ドル以上はいなかった。1ドルという(古典経済学の言うところの“合理的な”)人も数人いた。


立場を逆にして学生に質問
Class survey
Now, switch sides and pretend you are “the responder”. Circle the minimum offer you would accept (your reserve price), below which you would veto.
I will accept:
$0 $1 $2 $3 $4 $5 $6 $7 $8 $9 $10
→3ドルくらいが多数。先行研究の結果、平均は2.3ドルくらいらしい。
(古典的経済学で十分にトレーニングを受けていれば、0.0000001ドルでも手も挙げるはず(苦笑))。

なぜこのようなこと(立場が変わると答えが変わる)になるか?
Answer: Because not all humans are motivated by pure self interest (homo economicus). Some people are prepared give up personal gains to maintain the norm of fairness and to punish violators.


Dictator Game
•Players given $20 to split with an unknown stranger.
•They could either:
- be greedy and keep most of the money for themselves.
- be fair and split the money 50:50.
•Partner has no say (that’s why it’s called “dictator” game).
•76% of subjects went for the fair split.
•So far so good for the norm of fairness.
「独裁者ゲーム」ですね
↑面白い。これを読んでいて、税金が20-30%を超えてくると、金持ちも不満をこぼすこともここらへんのメカニズムに起因している気がしました。

Public Goods Game
•Trust game involving N > 2 people.
•Each subject given 10 tokens at the beginning of the session.
•A player can either:
(a) put token into private account, resulting in $1 of earnings for each token for that person; or
(b) put token into a public account, which is then doubled & split equally between the players at the end of the game.
•A selfish player would walk away with $10 at end of the game.
•But if players cooperate (e.g. contributed all 10 tokens to public account), they could double their money at the end of the game.
•Problem: Free-riders can take advantage of suckers in the game. Over repeated games, bad behavior drives out good behavior.
「公共財ゲーム」ですね。
                Fehr & Gächter, AER 2000; 90:980-94
Without punishment, after 10 repeat sessions, cooperation drops to 10%.
With the introduction of sanctions (allowing a player to apply “punishment points” to other players which reduces their pay-off by 10%), compliance approaches 100%.
以下には上記の論文の内容の解説も書いてあるっぽいです。
上記を読むと、なぜこのようなゲーム理論について公衆衛生学のカワチ先生が解説されているかも(多少w)理解できると思います。

脳メカニズムの解説
The neural basis of the fairness norm compliance
•Trans-cranial direct-current stimulation (tDCS)
•9-volt battery, jumper cable to the brain
•< 1% of electrical discharge compared to ECT.

3 types of stimulation
•Anodal stimulation: positive (V+) stimulation that increases the neuronal excitability of the area being stimulated.
•Cathodal (V-) stimulation: decreases the neuronal excitability of the area being stimulated. (Used to treat psychological disorders that are caused by the hyper-activity of an area of the brain).
•Sham stimulation: used as control condition -- emits a brief current but then remains off for the remainder of the stimulation time.

↓ これを応用した研究(読む価値ありそう、ある意味結構怖い研究

Changing social norm complicance with nonivasive brain stimulation
Science, October 23, 2013
C.C.Ruff
PMID: 24091703
自分勝手な奴(特にわがままな金持ち?)には電気をかければ協力的になる(税金を払う?)ということか・・・? (本文読んでいないので誤解しているかも)戦争時代の反政府運動のリーダーの“洗脳”や、オームなどの新興宗教の洗脳を彷彿とさせる・・・・

Implication
•tDCS does not make people “more moral”.
•Rather, it makes them more sensitive to the presence or absence of sanctions.
•Without credible sanctions, people are less likely to comply with norms.
•There seems to be dedicated neural mechanism that enables us to flexibly align our behavior with the possibility of social punishment.



Readings:
  1. James S. Coleman. The Demand for Effective Norms (chapter 10). In: James S. Coleman. The Foundations of Social Theory, Cambridge, MA: The Belknap Press of Harvard University, 1990, pp. 241-59.

  1. Jon Elster. Coleman on social norms. Revue Française de Sociologie 2003; 44(2):297-304.

  1. Karine Nyborg & Mari Rege. On social norms: the evolution of considerate smoking behavior. Journal of Economic Behavior & Organization. 2003; 52:323-340.doi: 10.1016/S0167-268(03)00031-3.



 Incentives vs. Commitments

いまさらですが・・・(そしてPPTがあるのでメモもどうも手抜きに・・・というかカワチ先生進むの早い・・・)まぁいくつか論文を紹介しているので、興味があればフルテキスト読んでエンジョイしてくださいということで。。。

Session 8 –  April 16 (Wednesday)

Topic:                  Incentives vs. Commitments

Instructor:         Professor Kawachi

Learning Objectives:
1.           Distinguish between the use of incentives vs. commitments to influence behavior.
2.           Describe the pros and cons of incentives vs. commitments.
3.           Understand the principles of designing optimal incentives and commitments.
4.           Describe the behavioral economics principles involved in “super-charging” incentives to alter behavior.



1. Distinguish between the use of incentives vs. commitments to influence behavior.
2. Describe the pros and cons of incentives vs. commitments.
3. Enumerate the principles of designing optimal incentives and commitments.

Incentives とCommitmentsの違いは?
・Incentives guide choice e.g. 25 cent tax on cigarettes
・Commitments disable choice e.g. $14 excise tax on cigarettes

JAPANESE DRUNK DRIVING LAWS
Driving Under the Influence BAC ≥ .08 Prison with hard labor up to 5 years or fine up to 1,000,000 yen.
Driving While Impaired, BAC .03 to .079 Prison with hard labor up to 3 years or a fine up to 500,000 yen
これだけではなく
・Serving alcohol to someone who subsequently gets a DUI or DWI :
Punished together with DWI driver.

・Riding as passengers in a vehicle operated by an intoxicated person:
Punished with DWI driver.
ここで(笑)がおこる。
実際に件数は減っているようだ


A weight loss pre-commitment device
•Reduced-strength version of orlistat (Xenical).

•Works by disabling lipase, thereby preventing the break-down of dietary fat while it's in your digestive tract.
•Approved for over-the-counter sale to adults 18 years and older.

Basically works like Antabuse
After fatty meal, users experience

Put Your Money Where Your Butt Is: A Commitment Contract for Smoking Cessation

RCT Design
•N=2000 smokers in the streets of Mindanao approached on spec & offered the opportunity to sign up for a commitment contract to stop smoking.
•The contract required smoker to deposit money in a bank account (earning no interest) for 6 months.
•At 6 months, if he failed a urinary cotinine test, the smoker forfeited his money (donated to charity).
•2 Control groups:
a)Received wallet-sized “cue cards” showing frightening pictures of the health consequences of smoking,
OR
b) Nothing.
What Did They Find?
•11 percent of smokers who were offered the contract took it up.
•Average client made a deposit every 2 weeks, and ended up committing 550 pesos (USD $11) by the end of the 6 month contract period.
•≍ 20% of monthly income, or 6 months’ worth of cigarettes.
Percent passing urine test at 6 months (ITT):
Contract18.1%介入群
Cue cards15.3%脅す
Nothing12.4%

Pros and Cons
Incentives
• An excise tax affects everyone regardless of their stage of change. (in fact, raising the tax might nudge smokers to move to the next stage).

Commitment
• Low participation rate – contingent on smokers being in the preparation stage of behavioral change
(11% in Philippines study).

prochaska & diclemente 1983


Stage 1. Pre-contemplation
•Individual is not intending to take action in the foreseeable future (next six months).
•People may be in this stage because they are uninformed or tried & failed and become demoralized.
•People tend to avoid thinking about their behavior.

Stage 2. Contemplation
•People intending to change in the next six months.
•They are more aware of the pros of changing but are also acutely aware of the cons.
•This balance between the costs and benefits can produce profound ambivalence that can keep people stuck in this stage for long periods of time.
•i.e. behavioral procrastination.

Stage 3. Preparation
•Stage in which people are intending to take action in the immediate future, usually measured as the next month.
•They have a plan of action, such as setting a quit date, recruiting social support, talking to their physicians, or contacting a Quit Line.

Prev Med. 1995 Jul;24(4):401-11.
Distribution of smokers by stage in three representative samples.
Velicer WF1, Fava JL, Prochaska JO, Abrams DB, Emmons KM, Pierce JP.
Abstract
Objectives. A key variable for the design of individual and public health interventions for smoking cessation is Stage of Change, a variable which employs past behavior and behavioral intention to characterize an individual′s readiness to change. Reactively recruited samples distort estimates of the stage distribution in the population because such samples attract a disproportionate number of late-stage participants. Three representative samples are described which provide accurate estimates of the stage distribution in the population. These samples are of adequate size to permit within-sample comparisons with respect to sex, age, Hispanic or non-Hispanic origin, race, and education level. The implications of using stage distribution as a tool for planning intervention is discussed. Method. The first sample of 4,144 smokers was from the state of Rhode Island and involved a random-digit-dial survey. The second sample of 9,534 smokers was from the state of California and involved a stratified random-digit-dial survey. The third sample of 4,785 smokers was from a total of 114 worksites located in four different geographic locations. Results. The stage distributions were approximately identical across the three samples, with approximately 40% of the sample in Precontemplation, 40% in Contemplation, and 20% in Preparation. The stage distribution was generally stable across age groups with the exception of the 65 years and older group. Education level did affect the stage distribution with the proportion of the sample in Precontemplation decreasing as education level increased. In all three samples, minor differences in stage distribution were related to Hispanic origin and race, but the pattern was not consistent across the samples. Conclusions. The pattern of stage distribution has important implications for the design of interventions. Existing interventions are most appropriate for the Preparation stage, but the majority of the three samples were in the first two stages, resulting in a likely mismatch between the smoker and the intervention. The stability of distribution across age suggests that interventions that are appropriately matched to stage can be applied across all age groups. The differences found with respect to education, Hispanic origin, and race can serve as a guide to the tailoring of intervention materials.

Implication
•About 80% of smokers are stuck in either pre-contemplation or contemplation stage.
•Only 20% are in preparation (i.e. planning to quit in next month).
•Most clinical interventions are targeted at preparation stage.
•As are pre-commitment devices.
What’s the implication for incentives vs. commitments for reducing SES disparities in smoking?



プレコミットメントと課税はどちらが有効か?
→喫煙率が高いSESの低い人は低所得なので、課税がよい、と。


Incentives
• Revenue-generating, provided that drop in demand is < increase in taxes.
• Price elasticity of demand for cigarettes ≍ 8%.

Commitment
• Can be expensive (if carrots are big).
• At best, revenue-neutral, provided smokers commit their own money to quitting contracts.

Which do you prefer?
•Chance to win $10,000 reward for successfully quitting?
- or –
•Chance to lose $10,000 of your own money for failing to quit?
•Loss aversion may explain reason for low participation rates.
全員が前者に手を挙げた。しかしどちらが有効かと言えば、後者でしょう。




HOW SHOULD WE DESIGN OPTIMAL INCENTIVES?
Case Study: Price subsidy on healthy foods in a supermarket
Am J Clin Nutr. 2010 Mar;91(3):736-47. doi: 10.3945/ajcn.2009.28742. Epub 2009 Dec 30.
Effects of price discounts and tailored nutrition education on supermarket purchases: a randomized controlled trial.
Ni Mhurchu C1, Blakely T, Jiang Y, Eyles HC, Rodgers A.

Randomized controlled trial of shoppers in 8 New Zealand supermarkets.
•N = 1,104 shoppers randomly assigned to one of 4 arms:
1) Price discount (12.5%) on healthier foods.
2) Tailored nutrition education
3) Discounts plus education
4) Nothing

Why target supermarkets?
65% of food expenditure in NZ
(compared with 33% in USA).

Why target food pricing?
•Cost cited as major barrier to consumption of healthier foods – especially for lower socioeconomic groups.
•Price discounts already used by retailers to boost sales.

Why tailored education(tailored educationとは?→例:マオリにはマオリ語、太平洋の島出身の人にはその人たち向けの物を例示して、あなたはいつもこれを買いますが、こっちの方が健康に良いですよ、と代わりの商品を値段付で示す。)?
•Systematic review (15 trials, n = 20,809) showed tailored messages significantly more effective in improving long-term diet than generic messages or no education.*
•Tailoring can be to both individuals as well as cultural groups (e.g. ethnicity)
* Eyles & Ni Mhurchu, Nutr Rev, 2009;67(8):464-80.

SHOP trial design
•3-month baseline
→ 6-month intervention
→ further 6-month follow-up phase.
•Individualised electronic purchasing data used to tailor education & to measure effect of interventions.
•Main outcome measure: Change from baseline in % energy derived from saturated fat at 6 mo.

Price discount intervention
•Discount (subsidy) applied automatically at checkout to a list of 1,032 healthy food options:
–Generated from database of 12 months of retrospective electronic sales data from 6 supermarkets.
–The 1,032 selected food items were based on NZ National Heart Foundation criteria.
•Participants sent list of discounted foods at start of 6 month intervention. Reminder list sent at mid-point of intervention (3 months in).
•Why 12.5% discount?
- equivalent to not paying NZ Goods and Services Tax (GST).






Tailored nutrition education intervention
•Individually tailored using each shopper’s unique electronic food purchase data.
•Accompanied by recipes and suggfested portion sizes.
•Face-to-face group education also offered to ethnic minority (Maori and Pacific Islander) participants.

Effect of price discount
•Shoppers receiving discount bought significantly more healthier food options at 6 mo. (1.7 lb. more per week than control group, on average).
•≍ 1.0 lb. more fruits/vegetables per week.

Intervention effects on food purchases
Difference in mean changes from baseline for price discount
and nutritional education interventions, kg/week
(Model adjusted for baseline nutrient values, ethnicity, income, age, sex)
→6か月後は、値引き群では健康的な食品の購入は上昇していたが、教育群ではほとんど変化なし。一方介入終了後の6か月後(=最初から見たら1年後)は、効果は減りギリギリ有意くらいになっていた。

However…
•At 6 mo. The difference in % energy from saturated fat(これがメインのアウトカムだったらしい) for price discount group was -0.02% (95% CI: -0.40%, +0.36%) compared to control group, p = 0.91.
•Corresponding change for tailored education group was -0.09% (95% CI: -0.47%, +0.3%), p = 0.66.
•? Substitution effect?
→他の商品でお金が残っていたので、脂肪に関しては節約しなかった?

Summary
•No effect of price discounts or nutrition education on saturated fat or other nutrient outcomes. (But we already know it’s jolly difficult to alter blood lipids through diet).
•Significant and sustained effect of price discounts on volumes of healthier foods purchased.
•No effect of nutrition education on volumes of healthier foods purchased. Combining education with price discount did not boost effect of subsidy.



Commentary from behavioral economics perspective
•SHOP trial only examined effect of a price subsidy. Why?
ジャンクフードに課税するのは現実には難しい。なぜならAという店でやっても、それはAの売り上げが減るだけなので。客はBという他の店に行くだろう。
•In conventional economics, subsidizing a health option is viewed as the same as taxing an unhealthy alternative.
•But behavioral economics says consumers view subsidies vs. taxes differently (asymmetry in price elasticity). Why? loss aversion

Standard and Behavioral Economics Contrasted
Neoclassical economics
•Price increases (taxes) are just the flip side of price decreases (subsidies).
•The price elasticity of demand for a product is assumed to be symmetrical.
•If the price of a can of Pepsi goes up by 50 cents, demand will drop by 5%, If it goes down by 50 cents, demand will rise by 5%.
Behavioral economics
•Loss aversion says that price elasticities will be asymmetric.
•Consumers will dislike price increases twice as much as the same price cut.
•Loss averse customers will reduce their consumption more when prices rise, compared to increasing purchases when prices fall.
同じくお金を出すにしても、ジャンクに課税するよりは、補助金で健康的な食べ物を値引きした方が良い

To wit…
Tax increases work better than price subsidies.
and since retailers will not raise prices voluntarily (due to competition), there is a market failure for this form of incentive.
i.e. Government needs to do it.


HOW ABOUT USING COMMITMENT TO PROMOTE HEALTHY EATING?
Case Study: Voluntary pre-commitment device among grocery shoppers.

Psychol Sci. 2014 Feb;25(2):538-46. doi: 10.1177/0956797613510950. Epub 2014 Jan 3.
Healthier by precommitment.
Schwartz J1, Mochon D, Wyper L, Maroba J, Patel D, Ariely D.
Abstract
We tested a voluntary self-control commitment device to help grocery shoppers make healthier food purchases. Participants, who were already enrolled in a large-scale incentive program that discounts the price of eligible groceries by 25%, were offered the chance to put their discount on the line. Agreeing households pledged that they would increase their purchases of healthy food by 5 percentage points above their household baseline for each of 6 months. If they reached that goal, their discount was awarded as usual; otherwise, their discount was forfeited for that month. Thirty-six percent of households that were offered the binding commitment agreed; they subsequently showed an average 3.5-percentage-point increase in healthy grocery items purchased in each of the 6 months; households that declined the commitment and control-group households that were given a hypothetical option to precommit did not show such an increase. These results suggest that self-aware consumers will seize opportunities to create restrictive choice environments for themselves, even at some risk of financial loss.

KEYWORDS:
health, rewards, self-control
PMID: 24390824 [PubMed - in process]


Ongoing field experiment in South Africa.
• One feature is a monthly 25% cash-back bonus awarded to
members’ credit card balances for healthy food purchases
during the past month.
• Even with this incentive, program remains under-utilized

How to boost success?
•n = 6,750 households already participating in trial were offered the chance to sign up for a pre-commitment device, viz.
•Put their monthly bonus on the line.
•If their healthy food purchases did not increase by 5% over their historical baseline for the next 6 months, they forfeit(【他動】〔権利・名誉などを〕失う、喪失する、剥奪される) the bonus. No additional incentive – just commitment.

緑が上昇したあたりが介入開始の時期
なんとなく介入開始に向けてグラフ全体が低下しているように見えるのは、冬に向かっているから(野菜やフルーツが取れにくい?) 観察効果では?と個人的には思うが。


↑in % healthy foods occurred as a function of ↓unhealthy & neutral foods.
数値は小さいは有意な効果があったと。


How should we design optimal incentives?
The incentive must be “just the right size” -- neither too small, nor too big.

Using Incentives to Encourage Healthy Eating in Children

Field experiment in 15 elementary schools in Utah.(ユタ州らしい)
•Cluster randomization over 5 lunch periods, announced over school radio:
(1) receive 25¢ for eating one serving of F/V(フルール&ベジタブル)
(2) receive 5¢ for eating F/V
(3) enter a raffle to win prize (value equal to total no. of kids who ate their F/V that day multiplied by x25 – e.g. tennis racket)
(4) no incentive (control)



25セントをあげるだけで、子どもは野菜やフルーツを食べるのだ!!!!!
親としては、いちいち説得するよりは、25セント支払ったほうが楽!?

Paying kids to eat their vegetables?!Sounds controversial…
Suppose you are the Superintendent of your School District…
WHAT MORE WOULD YOU LIKE TO KNOW ABOUT THE INTERVENTION?
・長期的な効果が知りたい→お金をやめた途端食べなくなりそう
・子どもがそのお金をなにに使ったか知りたい。ソーダや酒を買ったのでは?
・実際本当にどれくらい食べたのか知りたい(アメリカでは皿にとっても全部食べないで残して捨てることはしばしば。しかも野菜を食べたらお金をもらえるとしたので、お金をもらうために野菜をサーブして、結局食べていない子供も多いのでは?)


Q) did the financial incentive make “bad” social norm?

Old norm was 野菜を何も食べない事だったが、介入後は1サーブ食べるのが普通になった。


Q)インセンティブ終了後野菜を食べる習慣はどれくらい続いていたか

4週間後には食べなくなっていました。


Q)子供たちは食べ物をサーブしただけで残して捨てていたか?
コントロール(45%食べ残し)と比べて、25セント、5セント、らっふるは少なかった(他は20%前後)

Cost of providing rewards
•A quarter each day to each student ≍ $45 per year
•Labor costs of personnel ≍ $24 per child (based on two workers per school paid $8.50 per hour).
•TOTAL = $69 per child per year.
•Comparable to USDA Fresh Fruit & Vegetable Program ($50-75 per student、既に行われている政策らしい).
•But the incentive program cuts down waste!

What happens when incentives are too big?
Incentives & performance
•Performance incentives assume 2 things:
a) that incentives will increase motivation and effort;
•Sometimes, this assumption backfires – e.g. monetizing the performance of a behavior may paradoxically de-motivate (will say more about this in lecture 10).
Incentives & performance
•Performance incentives assume 2 things:
a) that incentives will increase motivation and effort;
b) that increased motivation & effort will enhance performance.
•Paradoxically, when the reward is too high, motivation & effort are indeed greater, but performance can suffer.
•People choke.

What could make people choke under pressure?
1) Arousal. arousal【名】覚醒、目覚め、喚起、性的興奮
(Yerkes-Dodson Law, 1908).



What could make people choke under pressure?
1) Arousal.(Yerkes-Dodson Law, 1908).
2) Costs of shifting mental processes from “automatic” to “controlled”.
(e.g. focusing on your golf swing).
3)Narrowing of attention.
- can be detrimental for tasks that involve creativity & “thinking outside the box”.
4)Preoccupation with the reward itself.
- e.g. CEO bonuses on Wall Street.


•Hard to study incentives that are “too large”.
•NSF research budgets won’t allow it…
•except in India.
HarperCollins 2010←本

Review of Economic Studies (2009) 76, 451–469 0034-6527/09/00160451$02.00
 2009 The Review of Economic Studies Limited
Large Stakes and Big Mistakes

N=87 residents in rural India.
•Participants invited to play 6 games involving memory, creativity & motor skills.
Structure of incentives
•Randomization to 3 incentive structures:
4 rupees
40 rupees ←ほぼ月収(1ドルで・・??)
400 rupees* ←ほぼ年収(10ドルで・・??)
•Full payment if players reached “very good” level of performance, 50% payment if they reached “good” level.
*Rs 47.9 = US $1. Maximum incentive is close to all-India monthly average per capita expenditure in rural areas. In the unlikely event that a player reached top performance in all 6 games, she could earn roughly half of annual income.

Preview of Lecture 11
•I will say much more about the topic of structuring incentives leveraging behavioral economics principles in lecture 11.
•…when we discuss behavioral economics & health policy.
•Optimal design of incentives involves choices about – size, timing, frequency, framing, duration.


8つスタンプをためたら1つ無料になるものと、10個スタンプが必要だけど既に2個スタンプが押してあるものはどちらが有効か?→10個の方が有効(これ既に日本で導入されている気がする)。
関連記事




How to structure commitment devices

1)Sticks tend to be more effective than carrots.
Why?
->loss aversion!

2)Commitments need to be monitored, enforced, and sanctions applied (if needed)


Principles of monitoring
1.You need to enlist a referee to check compliance.
i.e. announce to others that you are entering a commitment.
2.Not your spouse or significant other!
3.Not a fellow smoker!
4.Ideally, select more than one referee (In other words, leverage the power of peer support).



Commercial “Commitment Store”
コミットメント
•A “commitment store”.
•People register to enter into a commitment contract – they stake their own money & nominate referees to monitor progress.
•As of this week, the site lists 180,000 contracts involving $11 million on the line.

健康だけではなく、「論文一本書く」とかでもOK
日本でもやっている人がいるようだ http://angelux.jp/wpblog/?p=1423



Readings:
1.           Volpp KG et al. Financial incentive-based approaches for weight loss. A randomized trial. JAMA 2008;300:2631-7.

2.           Volpp KG et al. A randomized controlled trial of financial incentives for smoking cessation. NEJM 2009; 360:699-709.

3.           Xavier Giné, Dean Karlan & Jonathan Zinman. Put your money where your butt is: A commitment contract for smoking cessation, Journal of Economic Literature, December 2008.




Expectations – and why behavior interventions occasionally misfire


 

Session 10 – April 23 (Wednesday)
Topic:                   Expectations – and why behavior interventions occasionally misfire

Instructor:           Professor Kawachi

Learning Objectives:

1.           Understand how our expectations shape our subsequent experiences.
2.         Provide examples of how expectations can be manipulated to influence choice (in either healthy or unhealthy directions).
3.         List and describe situations under which behavioral interventions can misfire – substitution effects, behavioral compensation, “mere peanuts”, moral licensing and “what the hell” effects. 

人は先行する情報からの期待により食べ物に対する認識が変わる。

論文:The colr of odors_Gil Morrot_France_Brain and Language_2001
赤く色を付けた白ワインを、多くの人は赤ワインと思ってしまうらしい。

論文:Physiology & Behavior_2007_Brian Wansink_Fine as North Dakota wine_Sensory expectations and the intake of companion foods
同じワインで、ラベルを変えるだけで、人のワインの評価は変わる。ついでになぜが一緒に食べているチーズの味もかわる。

論文:Food Quality and Preference_2005_Brian_how descriptive food names bias sensory perception in restaurants

同じものをサーブするにしても、
Red Beans and Rice
と表記するよりは
Traditional Cajun Red Beans and Rice
と記載したほうが、人は美味しいと思うらしい(そういやちょっと高級な店に行くとそういうメニュー表記ありますね、日米ともに。)

禁煙社会のための政策を進めた人:自身は喫煙者
Luther Terry (15 September 1911 – 29 March 1985)

BOOK: Eat, drink, and be healthy



この効果は?
一般的には、喫煙者に恐怖を与えることで禁煙に向けていると考えられているが、他の効果は無いか?
・持っていること自体かっこ悪い
・味がまずいと感じる





Six reasons why behavioral interventions get sabotaged
1.Behavioral compensation
Definition: When people adjust their behavior in response to an intervention in order to maintain homeostasis.
Examples:
1.Changes in smoking topography (e.g. puff duration, puff volume) to maintain the same nicotine levels.
2.Installation of energy-efficient light bulbs leads to more energy use (Jevons’ paradox).
3.Increased physical inactivity (following a bout of vigorous exercise) to maintain the same overall energy expenditure level over a day.

頑張っても結局リバウンドするよね(長続きしないよね)

論 文:Body fat loss and compensatory mechanisms in response to different doses of aerobic exercise - a randomized controlled trial in overweight sedentary males

Mads Rosenkilde , Pernille Landrock Auerbach , Michala Holm Reichkendler , Thorkil Ploug , Bente Merete Stallknecht , Anders Sjödin
American Journal of Physiology - Regulatory, Integrative and Comparative PhysiologyPublished 1 August 2012Vol. no. DOI: 10.1152/ajpregu.00141.2012

しかも頑張りすぎても結局他で代償されたりする(例:運動後に疲れてしまっていつも会談使っているけどエレベーター使ったり、いつもよりも動かなくなったり)ので、頑張りすぎは意味ないかも。

2.Risk compensation

Definition: when people adjust their behavior in response to the perceived level of risk, becoming more careful where they sense greater risk and less careful if they feel more protected.
•Although usually small in comparison to the fundamental benefits of safety interventions, it may result in a lower net benefit than expected.
Examples:
•Forestry workers taking more risks when wearing safety equipment (leg chaps).
•Eating more bacon after being put on a statin drug.(コレステロールを下げる薬を飲んでいるから、ベーコン追加しても大丈夫だろー、的な)
•Engaging in risky sexual behavior after being put on antiretroviral therapy.(エイズの治療やったからコンドームなしでもいいでしょー、的な)

→リスクをより適切に共有するにはどうしたらよいか?

この例として、NZの例(Hans Monderman (1945-2008), Dutch road traffic engineer)と東京の狭い道路の写真を例示あり。東京の方は、道のハジっこに歩行者のためのスペースを緑色に塗っているところがあるが、これは物理的な境を作るよりも、この方が運転する側はスピードを落とす効果があると。NZも要するに歩行者と車や自転車の物理的な境が無いので、車や自転車はスピードを落とすと(性善説ですね、先進国では通用しそうですが)
ちなみに、日本はだれも自転車でヘルメットをかぶっていない・・

3.Substitution effects
[from economics] (いわゆる経済学でいうところの外部性ですね)An increase in quantity demanded of a lower-priced good (a substitute) when price is raised on the original good.
Example:
•Raising the price on soda (via tax) increases consumption of fruit juice.
Q. How is this different from behavioral compensation?
A. Behavioral compensation applies to the SAME behavior (e.g. maintaining energy balance or nicotine intake).

More generally, by sending a message to the public about official disapproval of a behavior (e.g. “too much fat in the diet”), consumers may be driven to engage in a substitute behavior (consume unlimited amounts of carbohydrates).
Example:
•Marantz PR, Bird ED, Alderman MH. A call for higher standards of evidence for dietary guidelines. Am J Prev Med. 2008 Mar;34(3):234-40.

他の例としては、国のガイドラインで、「脂肪摂取を減らしましょう」とすると、脂肪はちょっと減ったけど、炭水化物が増えて、結局摂取エナジーも肥満率も増えた(アメリカ)



4.Moral licensing – ego depletion
[from social psychology] Engaging in a virtuous behavior boosts our self-image and “licenses” us to indulge in subsequent “bad” behavior.
何か「良いことをしている」と思うことが、自分勝手な行動につながる
Example:
•Prius drivers have among the highest rates of running through pedestrian cross-walks ≍ 30% (Piff et al. “Higher social class predicts increased unethical behavior”. PNAS, 2012; 109: 4086-4091).

Sidebar
Q. How is moral licensing different from moral hazard?
A. Moral hazard applies to bad behavior whose costs are not entirely borne by the agent, e.g. in some populations, the introduction of antiretroviral therapy led to more sexual risk-taking (risk compensation), resulting in increased STD.

BYOB_How Bringing Your Own Shopping Bags Leads to Treating Yourself and the Environment_Bryan K. Bollinger_Uma Karmarkar_Harvard Business School
リサイクルバッグ(いわゆるエコバッグ)を使っている人は、そうでない人に比べて、快楽のための商品(ジャンクフードなど)を買っていた(自分はエコなこと=いいことやっているから、お菓子を買ってもよい、という感じ)。しかしこの関連は、ビニール袋を使うとお金をとるようになると観察されないらしい。「自分はお金がかかるわけではないのにエコバッグを使っている=いいことしている」という認識ですかね、なんかわかる気がします。
ちなみに上記はHBSのレポートだそうで
「Reusable bags also increase probability of hedonic purchases by 1.41%.
•≍ additional $200 million in profits.」とか書いてあるところが、“素敵”ですね。

同じチョコでも、「low-fat」とラベルすると、人はより多く食べちゃう。(“halo effect”).
Wansink B & Chandon P. Can" low-fat" nutrition labels lead to obesity? Journal of Marketing Research 2006:605-17.

ということで、ラベリング(この商品は健康に良いです!)戦略もなかなか思い通りにはいかないのです。


5.“Mere peanuts” effect
Definition: when the consequences of a behavior are delayed and intangible (“mere peanuts”), consumers are apt to have self-control problems.
Examples
•Smoking one more cigarette is not going to cause cancer.
•Snack-size packaging of food are tempting to people on a diet.

論文:The effects of reduced food size and package size on the consumption behavior of restrained and unrestrained eaters
journal of consumer research 2008
パッケージがでかいとたくさん食べちゃうよ

6.“What the hell” effect
Definition: When restrained eaters indulge in “forbidden” consumption and go over their self-imposed daily limit, they reason that “the day is lost – what the hell, let’s go all the way!”
Example:
Pizza experiment (Polivy et al. 2010)




Social influence

今日が終わると、Behavioral Economicsも残すところあと2回となりました。ということで5月5日(日本で言うと子どもの日)の授業ノートメモ。前半は講義資料PPTからのコピペのみが目立ちますが・・・


Topic:                 Social influence 
Instructor:          Professor Kawachi
Learning Objectives:
1.         Describe key constructs and measures (reachability, degree & closeness centrality, betweenness) in sociometric analysis.
2.         Describe the “three degrees of influence rule”.
3.         Critically analyze the threats to causal inference in empirical studies of social influence across social networks.

Three Network Ideas
1.The Small World Phenomenon (“the six-degree rule”)
2.Network Interventions
3.The Three Degrees of Influence Rule

The Small World Phenomenon
•Goal: To determine the network distance between any two people in the USA.
•Recruited n=96 random people in Omaha Nebraska & instructed them to find a way to deliver a letter to a stockbroker in Sharon, Mass. via a chain of acquaintances.
Stanley Milgram (1933-1984)
“The small world problem”, Psychology Today 1967(2): 60-67.

Instructions in Milgram’s Experiment
•If you KNOW the target personally, send the letter directly to him.
•If you DON’T KNOW the target personally, pass on the letter to one of your personal acquaintances who is more likely than you to know this person.
•Add your name to the roster at the bottom of this sheet so the next person who receives this letter (and the PI) can keep track of who it passed through.

The Six Degrees Rule
•The first letter reached the target in a few days via only two intermediaries.
•Note: this was not simply about looking up the target in the phone book. The last sender had to personally know him.
•The average degree of separation in experiment was 5.5.
•But only 18 letters eventually made it (19%).

Replication experiment
•In 2001, Columbia professor Duncan Watts repeated Milgram experiment on the internet.
•He recruited 24,000 senders to deliver an e-mail message to 19 targets in 157 countries.
•Average degree of separation ≍ 6.

Leskovec & Horvitz (2007)
•Examined dataset of 30 billion instant message conversations on Microsoft MSN Messenger conducted by 240 million users


More examples of small world networks
•Co-authorship networks: Any two researchers published in MEDLINE are separated by 4.4 co-authorship links (Newman, PNAS 2001).
•Neural networks: Neurons in the brain of C. elegans worm are separated by 2.7 synapses (it has only 302 neurons and scientists have mapped ‘em all).


The Math behind Small World Phenomenon
•Suppose each of us has 100 friends.
•Then at one degree of separation, we are connected to 100 others.
•At 2 degrees, 10,000 people.
•At 3 degrees, 1 million.
•At 4 degrees, 100 million.
•At 5 degrees, 9 billion….
•But obviously, there’s redundancy – i.e. your friends know each other (there’s clustering).


Average path length = ln(N)/ln(K)
where N = number of nodes,
K = acquaintances per node.
•If N = 300 million (population of US), and each person knows 30 people, then APL = 5.7.
•If N = 6 billion (90% of world population, assuming 10% are too young to know anyone), and K = 30, then APL = 6.6.

→世界は狭い。しかしみんなが同じ影響を受けたり与えたりしているわけではない


A Brief Primer of Social Network Analysis

Euler’s Königsberg Bridge Crossing Puzzle
ケーニヒスベルクの問題



•The starting point and ending point of a journey must have an ODD number of edges.
•A continuous path that crosses all bridges just once can only have one start point and one end point.

こういうのは英語で読んでもよくわからないので日本語で。


In general, a relation can be: Directed or Undirected Binary or Valued
1) undirected(片方だけが繋がっているとかはなくて基本双方向), binary(有無)
2) undirected, valued(強さの程度を数値で表現する)
3) directed, binary
4) directed, valued

Source: James Moody’s webpage (Duke Sociology): http://www.soc.duke.edu/~jmoody77/

Centrality
The most intuitive notion of centrality focuses on degree (= number of ties an actor has).=要するにいくつとつながっているかという指数
Source: James Moody’s webpage (Duke Sociology): http://www.soc.duke.edu/~jmoody77/

Network Interventions
•A common type of network intervention is to identify opinion leaders to advocate for behavior change.
例)誰に介入したら大学で一気飲みしているのを止めることができるか
•Who are opinion leaders?
- celebrities (hard to get them)
- self-identified (not reliable)
- expert-identified (e.g. ethnographers)
- sociometric (who receives most nominations)
→関係者に話を聞いてネットワーク図を描く。
例)
Valente et al. Substance Use & Misuse 2004 (39):1685-1712.
3,5,15,16がよい
何人に影響を与えているかが重要である

Degree centrality
1. Correlated with “popularity” in schools.→喫煙率の高い学校では、人気のある生徒は喫煙している
2. Often the early adopters of innovations.
3. Recruited in peer education interventions.
But-
•Not always the most effective change agents.
•Leaders have vested interest in maintaining the status quo (e.g. smoking to be cool).
•In schools with high prevalence of smoking, they tend to be smokers. In low-prevalence settings, they tend to be non-smokers.

Betweenness centrality
Model based on communication flow: A person who most frequently lies on the shortest paths connecting others in the network (gate-keepers).
Source: James Moody’s webpage (Duke Sociology): http://www.soc.duke.edu/~jmoody77/

Bridges (Liaisons)
•A person who links two or more otherwise disconnected groups.
•Bridges are paradoxical in that they are weakly connected to groups, yet their position gives them influence (potential brokers).
•Leaders are important within groups, but bridges are critical to diffusion between groups (both good & bad).
•Bridges may be less burdened than leaders; more amenable to change.

Isolates
•Individuals with no connections.
•Tend to be late adopters of innovations.
•Can be protective if they are quarantined from bad behavior.

Explanations for S-shape
1. Consumer heterogeneity.
Consumers are normally distributed with respect to their tendency to adopt an innovation.

2. Social influence via networks.
Diffusion occurs via social networks. If diffusion occurred a-socially (i.e. each individual has same probability of adopting), resulting curve would be constant

“The Diffusion of Innovations”という本が、SBSの博士の学生の必読書らしい(キンドルで24ドル)

Newly-acquired pre-cu;tural behavior of the atural troop of japanese monkeys on koshima islet←論文のタイトル 
人間以外の動物で、どのように習慣・行動が広がっていくかを明らかにした初めての研究。“Imo”という名前のサルが、1956年にイモを洗うことを習得してそれが広がっていくというはなし。

What predicts speed of diffusion?
1. Characteristics of adopters – sociometric position.
2. Characteristics of the product – relative advantage over existing products, compatibility with consumer tastes, etc.
3. Characteristics of the network – network topology.


なぜ洗濯機の普及は遅かったか?
→冷蔵庫や電話やVCRは、それまでにないものであった。洗濯器=洗濯は既に存在していた行為(買わなくても洗濯自体はできる)。

Characteristics of innovations that speed diffusion
1) Relative advantage:Is the innovation superior to what existed before?
2) Compatibility: Does the innovation fit with the users’ values, norms, beliefs?
3) Complexity: Is the innovation easy to use?
4) Trialability: Can the innovation be tried before making a decision to adopt?
5) Observability: Is the result of the innovation visible to others? Does it give measurable results? 例)万歩計。誰にとっても見えやすい。フィードバックがかかる。


Taxonomy of Network Interventions
Intervention
1. Identify individuals based on network position
例)Find opinion leaders (agents with high in-degree centrality or betweenness centrality).

2. Structural alteration
例)
a) Add/delete nodes (quarantine)
b) Add/delete links (create bridges)
c) Rewire existing networks←同じ6つのnodeを経由する経路でも、ネットワークの形が変われば伝わる確率は結構変わる。
Thomas Valente (2012). Network Interventions. Science, 337: 49-53.

3.Segmentation
・Target groups (as opposed to individuals) for behavior change at the same time.
・SEGMENTATION:Detection of mutually exclusive groups through group-detection algorithm.


4. Induction
Activating peer-to-peer interaction to create behavioral cascades
•Tactic underlying “word of mouth” marketing (e.g. Amazon).
•Why social media might be more effective than mass communication (“Going viral”).
Thomas Valente (2012). Network Interventions. Science, 337: 49-53.


1.The Small World Phenomenon (“the six-degree rule”)
2.Network Interventions
3.The Three Degrees of Influence Rule

→Christakis氏の論文を紹介。興味ある人は、Readingにあるものを読んでください。

Readings: 
1.         Thomas W. Valente, Peggy Gallaher & Michele Mouttapa. Using social networks to understand and prevent substance use: A trans-disciplinary perspective. Substance Use & Misuse 2004; 39(10-12):1685-1712.
2.         Nicholas Christakis & James Fowler, The spread of obesity in a large social network over 32 years. New England Journal of Medicine 2007;357:370-9.
3.         Christakis N & Fowler J. The collective dynamics of smoking in a large social network.NEJM 2008;358:2249-58
4.         Lyons R. The spread of evidence-poor medicine via flawed social-network analysis.Statistics, Politics, and Policy. 2011; 2(1): 1-26.

上記のChristakisのシリーズに対して、それらは誤った統計モデルに基づいたものであり、それを著者らはじめ著明な医学論文のレビューワーやエディターが見抜けないとは何たることよ、と激しく論じている論文(アブストラクトだけを見ていてもかなり激しい論調)。
The spread of evidence-poor medicine via flawed social-network analysis(たぶんフリーで読めます)
この論文は全部ちゃんと読んだ方が良さそうだなぁ(でも量多いなぁ・・・)

Halo Effect for Bariatric Surgery
Collateral Weight Loss in Patients' Family Members FREE
Gavitt A. Woodard, MD; Betsy Encarnacion, MD; Joe Peraza, MD; Tina Hernandez-Boussard, PhD, MPH; John Morton, MD, MPH
Arch Surg. 2011;146(10):1185-1190. doi:10.1001/archsurg.2011.244.

肥満のために手術した場合、その患者の家族までBMIが落ちていた(=Halo effect)。TV鑑賞時間は変わらず。運動量(METS)は手術後で増加していた、特に患者本人よりも、患者の家族や子どもで。→介入対象以外にも介入の効果が出る(=halo effect)

Social Media and the Science of Health Behavior
Circulation. 2013;
Social Mediaは以下の4つの点で、既存の観察研究や実験研究と比べて優れている。
1. Scale: The effects of social interactions qualitatively differ between small vs. large groups. Small groups often unable to reach consensus & generate norms.
2. Measurement: Ability to observe behavior change in real time – e.g. sequence of adoption – is important for determining tipping points and thresholds.
In social media, every interaction is time-stamped and recorded.
3. Structural control
4. Behavioral fidelity

@Science
The spread of behavior in an online social network experiment Damon Centola

“the behavior spread farther and faster across clustered lattice networks than across corresponding random networks.”

From Granovetter’s “strength of weak ties”
… to the “weakness of long ties”, when it comes to complex behavior change (including health behavior).

In conclusion
•A social network approach shifts focus of intervention away from individual characteristics toward people’s network position as well as structural characteristics of their networks.
•Often getting a group to change behavior can be easier than trying to change people individually, esp. if the group can reinforce the message.


自分のノートには、いろいろFigがあるのですが、残念ながらこちらにはうまく貼り付けることができません。興味がある人は、メールいただければワードのファイルを送ります。まぁ単語でグーグルイメージ検索をかけるとか元論文を読むなどしても良いと思います。

デハ


最終回 Behavioral economics and health policy – what it adds and does not add

 

Session 15 – May 12 (Monday)

Topic:                 Behavioral economics and health policy – what it adds and does not add.

Learning Objectives:
1.         Critique the potential of applying behavioral economics to health care policy (e.g. designing employee health incentives).
2.         Debate the application of behavioral economics to public health policy (e.g. recent debates in UK government).

Readings:
  1. Volpp KG, Pauly MV, Loewenstein G, Bangsberg D. P4P4P: An agenda for research on pay-for-performance for patients. Health Affairs 2009; 28: 206-14.
  2. Marteau TM et al. Judging nudging: can nudging improve population health? BMJ2011;342:d228.

★ノートはここから★

Learning Objectives:
1. Describe how BE principles can be applied to “super-charge” incentives.
2. Discuss applications of BE for health care policy (P4P4P).
3. Summarize critiques of behavioral economics.

(今日は最終回なので最初は復習のようだ)

なぜカフェテリアのヘルシーラベリングは機能しないか?
・「健康的」というラベリング=おいしい→子どもは避ける
・「健康的」というラベリング=カロリーが少ないに違いない=たくさん食べてもいい→結局食べすぎて健康に悪くなる
・「健康的」というラベリング=

カロリー表示の義務化はなぜうまくいかないか?
・そもそも人は読まない
人はそもそもトータルでどれくらい食べるべきかわかっていないので無意味
・そもそも(ダメな)大人はそんなことには気にしない
(・少なく食べても後からまた食べちゃう=backfire)

Descriptive norm campaign
Boomerang effect
ユーモアのあるキャラクターを使うと問題を真剣に考えないかも

Two BE principle used in “Deposit contract” as amoking cessation intervention?(タバコをやめれなければ1万円支払う)
*Time inconsistent prefernces:将来の幸せより今の幸せ
*Loss aversion:一度獲得したものを失いたくない(100円もらいたいよりも100円失いたくない話)

Drawback of “Deposit contract”は?
・Low participation誰もやりたがらない

学校で子供に野菜を食べさせるためにお金をあげることの良くない点は?
・お金をあげるのをやめた途端に全く食べなくなる
お金をもらうために野菜をサーブしても結局残して捨ててしまうだけかも(日本と違い監視のないカフェテリアだからね)

What BE adds
●Assumptions of rational choice / expectancy-value theories
1)Agents are motivated by expected utility maximization.
2)Agents’ preferences are invariant, i.e. their judgments and choices do not flip-flop based upon irrelevant context effects.
3)Agents’ valuations of items are independent of possession.
4)Agents have consistent time preferences.
5)An agent’s utility is governed by purely selfish concerns – the theories do not take into consideration the utility of others.

●What behavioral economics adds
1)Agents decide based on visceral factors, such as the affect heuristic (lecture 2).
2)Agents’ preferences are susceptible to anchoring and decoy effects (lecture 3), as well as the way choices are framed (lecture 4).
3)Owners place a higher value on items than buyers (endowment effect), and the pain of loss is more than twice the pleasure from gain (loss aversion) (lecture 4).
4)•Agents display time-inconsistent, hyperbolic discounting (lecture 5).
5)
•Agents’ choices and actions are governed by social norms (lecture 8).
•An agent’s actions seldom leave others unaffected. We are embedded in social networks – we influence others, and in turn, others influence us (lecture 9).

★たぶんここまでが復習



SIX CRITIQUES OF BEHAVIORAL ECONOMICS
1)Descriptive, rather than prescriptive.
•BE provides a laundry list(〔いろいろなことを書き並べた〕長いリスト) of cognitive biases. Theory doesn’t help us predict which bias will predominate in any given situation.
•Theories need to make sharp predictions – in this regard, the rational actor model provides sharply testable hypotheses.
•By contrast, non-rational behavior permits deviations up or down.
•For example, the anchoring heuristic predicts that consumers will fail to adjust adequately from an initial guess.
•But BE won’t tell us where that guess comes from.
•BE proceeds by “post-hoc” explanations to fit the facts.
•Moreover, the number of post hoc explanations explodes when we let other heuristics enter the picture.
•By facilitating opposite predictions, BE often allows itself too many degrees of prediction.

David Laibson & Richard Zeckhauser (1998). Amos Tversky and the ascent of behavioral economics. J Risk and Uncertainty 16:7-47.

2)Limited generalizability of experimental findings.
•Too many experiments on college students (specifically economics & psychology majors)! この手の知見はやたらとアメリカの大学生を対象にしたものばかり、確かに。
•More broadly, samples are almost entirely drawn from WEIRD societies – Western, Educated, Industrialized, Rich and Democratic.
 
Behvaioral and brain sciences 2010 "The weirdest people in the world?" Joseph Henrich
“・96% of experimental samples come from countries with only 12% of the world’s population.
•In JPSP, 67% of American samples (and 80% of samples from other WEIRD countries) were composed solely of psychology undergraduates.”

“The muller Lyer illusion”(グーグルでイメージ検索かけて下さい、有名な錯覚を利用した図)の評価は、国が変われば答えもかわる。なぜか?

Why? (speculation)
•Living in a "carpentered world," we have grown accustomed to seeing corners everywhere.
•The brain is used to viewing corners and interpreting them as far and near, and uses the same information to make size judgments.
•When looking at the Müller-Lyer arrows, the brain interprets them as far and near corners, and overrides the retinal information that says both lines are the same length.
•In short, the Muller-Lyer illusion is a culturally evolved by-product of recurrent features in the local visual environment.
•But the illusion mainly occurs in WEIRD societies.


Mean offers in Dictator Games(DG)の結果も国も異なれば結果もかわる
Why?
•Higher offers in DG depends on the society’s degree of: a) market integration, and b) participation in a world religion.
•DG may be capturing a specific set of social norms, culturally evolved for dealing with money and strangers, that have emerged with the rise of complex societies.

3)Works best for one-off behavior
e.g. defaulting people into a retirement savings plan when they go on the payroll.
Enrollment in 401(k) plans before & after automatic enrollment (AE) (Choi, Laibson, Madrian, 2001)
(上記では年金積立の参加を、自動引き落としが始まる前後で比較して、自動引き落としが開始された後では参加率が高いことを示している図をだしている。)

•Behavioral maintenance is much harder.
•…Especially behaviors that involve constant effort (e.g. daily exercise) or addictions (smoking).
•Nobody has (yet) cracked the long-term maintenance problem.
•Even one-off health behaviors (such as getting the seasonal ‘flu shot) takes additional effort.

PNAS, June 28, 2011
Using implementation intentions prompts to enhance influenza vaccination rates
Randomized trial of n = 3,272 employees to get their seasonal
‘flu shots.
無料のインフルエンザ33.1%がうけた
最初から日にちを決める→35.6%
最初から日にち+時間も決める→37.1%

年金積立に比べれば効果は小さいけど、たいした手間暇なく4%上昇した→やる価値はあるでしょうね(それにしても全体的に低いな・・・日本ならもっと高そうな気がするが)

Last mile” problem
Percent quit smoking at 6 months in World Bank study
Deposit Contract 18.1%
Education (cue cards) 15.3%
Nothing 12.4%


•Low-hanging fruit already plucked.
•Behavioral economics can boost success…
•But effect sizes are still modest…
•And it doesn’t suggest that we replace proven approaches.(要するにBEは最高ですべてを解決するわけではなく、追加的なものですよと)

4)BE is unlikely to supplant existing theories and approaches
•BE is not a replacement for proven approaches such as excise taxes.

NY Time Op-Ed Economics Behaving Badly
Geoege Loewenstein and Peter Ubel(2010)

"It seems that every week a new book or major newspaper article appears showing that irrational decision-making helped cause the housing bubble or the rise in health care costs.
Such insights draw on behavioral economics, an increasingly popular field that incorporates elements from psychology to explain why people make seemingly irrational decisions, at least according to traditional economic theory and its emphasis on rational choice. Behavioral economics helps to explain why, for example, people under-save for retirement, why they eat too much and exercise too little…But the field has its limits. As policymakers use it to devise programs, it’s becoming clear that behavioral economics is being asked to solve problems it wasn’t meant to address. Indeed, it seems in some cases that behavioral economics is being used as a political expedient, allowing policymakers to avoid painful but more effective solutions rooted in traditional economics…Behavioral economics should complement, not substitute for, more substantive economic interventions. If traditional economics suggests that we should have a larger price difference between sugar-free and sugared drinks, behavioral economics could suggest whether consumers would respond better to a subsidy on unsweetened drinks or a tax on sugary drinks.But that’s the most it can do. For all of its insights, behavioral economics alone is not a viable alternative to the kinds of far-reaching policies we need to tackle our nation’s challenges."


BEだけでPH上の問題が解決できるわけではなく、BEは、古典的な方法手法(効果)に上乗せすべきもの

5)BE is being used to promote a conservative political agenda
•In the UK, the coalition government has promoted BE through its Behavioral Insights Team based in the Cabinet Office, advised by Richard Thaler.
•See debate in British medical press:
- Bonell et al. “One nudge forward, two steps back”, BMJ 2011;342:d401.
- Bonell et al. “Nudge smudge: UK government misrepresents “nudge”. Lancet 2011; 377:2158-9.
- Marteau et al. “Judging nudging: can nudging improve population health?” BMJ 2011; 342: d228.

Is nudge an effective public health strategy to tackle obesity? NO_BMJ_2011 PMID: 21493668


“The UK coalition government’s enthusiasm for nudge…dispenses with the complexity of real life contexts and acknowledges only the immediate proximal horizons of consumer choice.
“At a stroke, policy is reduced to a combination of cognitive and “light” environmental signals, such as location of foods within retail geography.
“Nudge, along with the responsibility deals [with the food & alcohol industry] is presented as the alternative to regulation, or in the media jargon, the “nanny state”.
“Our worry is that nudge becomes collusion between the state and corporations to hoodwink consumers. At least nannies are overt.”

6)Ethics of default options
例)臓器移植の例。何も意思表示しなければyesとみなす国では、yesの割合が100%に限りなく高い(スウェーデン、オーストリア、ベルギー、フランス、ハンガリー、ポーランド、)が、そうではなくyesと明確に意思表示をしない限りyesとみなさないような国では、yes割合が低い(UK、ドイツ、オランダ、デンマーク)。→人の決定は初期設定地に大きく依存する。ゆえに臓器移植のようなケースでは倫理的な問題もはらんでいる。

The upside of behavioral economics approaches
1. If it doesn’t cost anything, boosting success by even a few percentage points amounts to an important public health benefit. Just do it! 効果が小さくてもたいした手間じゃないならやらない理由は無い
2. Could help to narrow health disparities (contrast to education-based approaches). High SES people already help themselves. To the extent that low SES people are more susceptible to decision errors, BE-based approaches will help to close that gap. BEは健康格差を小さくできる(これを良いと解釈するかどうかはその人の価値観などによるでしょうが・・・)

休憩。
Applications of Behavior Economics to Health Policy
1. Health care policy
2. Public health policy

Behavioral economics application to health care policy
•Patient Protection and Affordable Care Act Section 2705
•Beginning in 2014, employers may use up to 30% of total amount of employees’ health insurance premiums to provide outcome-based wellness incentives.
•Incentives can take the form of “discount/rebate on premiums, or waiver of cost-sharing mechanisms (deductibles, co-payments, co-insurance).”


Pay-for-Performance
P4P:いわゆる医療制度の政策誘導(フレームではなく結果ベースで)
•Incentives targeted to providers (clinicians and hospitals) to improve quality of care.

P4P4P (Pay-for-Performance-for-Patients) :太っている人や喫煙者や運動しない人は保険料を高く使用
•Incentives targeted to patients to improve behavior.
Problem:
•Most insurance premiums bear no relationship to the individual policy-holder’s behavior.
•(No evidence that differential premiums affect health behavior).



How come differential insurance premiums are not very effective?
1. Delayed gratification – benefits of quitting smoking today won’t be reflected until next year’s premium adjustment.
2. Salience – nobody notices they are paying less for insurance.
3. Equity – lower-income individuals would end up with higher premiums. 貧困者ほど喫煙して肥満で運動しない結果保険料が高くなるというのはひとつの例でしょう


Designing employee incentives using behavioral principles

Why not leverage employees’ decision errors to “super-charge” incentives?

Decision error
Present-biased preferences (myopia)

Leverage
Make rewards for healthy behavior immediate and frequent.

JAMA. 2008 Dec 10;300(22):2631-7. doi: 10.1001/jama.2008.804.
Financial incentive-based approaches for weight loss: a randomized trial.
Volpp KG1, John LK, Troxel AB, Norton L, Fassbender J, Loewenstein G. PMID: 19066383

N=57 obese individuals, randomized to:
- Lottery incentive program
- Control group
•Weight loss goal: 1lb. per week for 16 weeks

Immediate & frequent rewards
1. Participants in the lottery group eligible for a daily lottery prize if their weight was at or below their goal.
2.  Lottery provided frequent small payoffs (1 in 5 chance of winning $10) as well as infrequent large payoffs (1 in 100 chance of winning $100). ヤマダ電機のポイントがもらえるスロットを思い出すw
3. Results of lotteries texted daily to participants (immediate tangible feedback).
4.…although actual money was paid out only if they met their goal at monthly weigh-in (regret aversion).

Why not leverage employees’ decision errors to “super-charge” incentives?

Decision error
Regret aversion “「後悔回避:regret aversion」とは、現在および将来における「後悔を嫌い、避けたい」という人間の信念が、意思決定に大きな影響を与えることです。”

Leverage
Tell people the total $$ amount they would have won if they had maintained weight loss at monthly weigh-in.


Why not leverage employees’ decision errors to “super-charge” incentives?

Decision error
Mental accounting “[メンタル・アカウンティング(mental accounting、心の会計)とは、Thaler氏によって提唱された概念。人は、同じ金銭であっても、その入手方法や使途に応じて、(時に無意識に)重要度を分類し、扱い方を変えていること]

シカゴ大学の行動経済学者Richard Thaler氏は、次のような問いを設定した。
映画を見に行こうとして、10ドルの前売りチケットを買いました。ところが、劇場に入ろうとして、あなたは自分がチケットをなくしたことに気付きました。(予約席ではなく、払い戻しはできません。)あなたは、もう一度10ドルを払って映画のチケットを買いますか?
この問いに対して「イエス」(もう一度買う)と答えた人は46%にすぎなかった。一方、次の似たような問題では、全く別の反応が見られた。
料金が1人10ドルの映画館に、映画を観に行きました。劇場でチケットを買おうとした時、あなたは自分が10ドル紙幣をなくしたことに気付きました。あなたは、10ドルを払って映画のチケットを買いますか?
こちらの質問では、88%の人が映画のチケットを購入すると答えた。どちらの例でも「失った金額」は同じなのにだ。この劇的な違いは何に由来するのだろうか。
Thaler氏は次のように説明する。映画を観に行くという行為は通常、チケット代というコストと引き換えに映画を観る体験を手に入れる、ひとつの取引だとみなされている。チケットを再度購入すると、チケット1枚に20ドルの「コスト」がかかることになり、映画の料金としては割高に感じられる。これに対し、10ドルの現金をなくすことは映画の「メンタル・アカウンティング」には含まれていない。このため、映画代としてもう10ドル出すことは苦にならない、と。
脳がメンタル・アカウンティングを行なうために、われわれは同じ金額でも扱いを大きく変える。上の実験では、2つの互いに矛盾した判断が行なわれたわけだが、これは古典派経済学の重要な原則に反している。つまり、「1ドルはつねに1ドルの価値を持つ」という前提だ。
Thaler氏の別の実験では、「価格15ドルの計算機を5ドル安く買えるなら、車で20分遠回りをしますか?」という質問が行なわれ、回答者の68%がイエスと答えた。これに対し、「価格125ドルの革のジャケットを5ドル安く買えるなら、車で20分遠回りしますか?」との問いに、イエスと答えた人はわずか29%だった。つまり、大きな買い物においては小さな金額は重要とは思えず、絶対的な金額(5ドル)よりも、メンタル・アカウンティングのほうが、判断にとって重要だったわけだ。”

Leverage
Separate reward is more motivating than a discount on insurance premium.

Mental accounting (Thaler, 1980)
•Individuals divide their current and future assets into separate, non-transferable buckets.
•e.g. starting a savings account for the next family vacation at the same time as carrying a large balance on a high APR credit card.
•By the same token, people put “winning $250 on a smoking cessation lottery” in a separate mental account from “receiving a $250 deduction on a health insurance premium”.
•Note the connection to Framing (lecture 4).

How to super-charge incentives
Incentive Features -Lesson Learned
1)Timing -Should be frequent, and preferably soon after the behavior occurs (i.e. not wait till next year’s premium adjustment).
2)Size -If the incentive has small value, turn it into a lottery to take advantage of variable reinforcement schedule as motivating factor.
3)Framing -Same amount of reward (e.g. $300) feels different if it’s presented as a bonus vs. a discount on premium.
4) Carrot or Stick? -People prefer carrot > stick.(Loss aversion predicts that sticks may be more motivating, but Volpp study found no difference)


Issues in scaling up
1)Long-term effects of incentives?
Do incentives reduce intrinsic motivation?
Once rewards are removed, do behaviors rebound?
What’s optimal duration of rewards to make behavior change stick?→報酬を与える期間を3か月6カ月9か月とRCTで割り付けて3か月ごとにフォローしていけばわかりそうだが。
2)Should we reward Δ behavior or Δ outcomes?
Outcomes are easier to verify (e.g. Δ weight vs. Δ diet).
But subjects may feel cheated if Δ behavior does not lead to Δ outcome.
Sometimes it makes more sense to incentivize Δ behavior, e.g. attending smoking cessation program (as opposed to quitting cold turkey).

3Who pays?
In high turn-over private insurance market, it’s most cost-effective to focus on incentives with short-term payoffs (e.g. asthma management, smoking cessation).
For long-term insurance providers (Medicare, VA), it may be cost-effective to focus on long-term payoffs (e.g. blood pressure control, weight loss).
For programs with a high public health rationale (adherence to medication in patients with MDR-TB), government could step in.

Volpp KG et al. (2009). Health Affairs 28(1):206-14.


Resistance to P4P4P
1)Weak evidence base
2011 Cochrane review of 19 RCTs of smoking cessation concluded that with the exception of one study (by Volpp et al.), there was no clear evidence of long-term (> 12 months) success rate with financial incentives.
•However, most studies were small and did not have sufficient power to detect increase in long-term quit rates.
•The size of incentives was generally too small – as low as $10 in some studies.

A randomized, controlled trial of financial incentives for smoking cessation. Volpp KG,PMID: 19213683N Engl J Med. 2009
たぶん@GEの話らしい。個人的にはこういうのやりたい。終身雇用の日本で保険組合を持っているような大企業ほど会社が支払う保険料に跳ね返ってくるわけで、無事ネスの視点から考えても日本でも十分意義があると思うが。単に医療保険支払だけではなく、生産性の問題もあるしね(喫煙者は生産性も低い。)

N=878 employees in firm randomized to information about smoking cessation program, or information + financial incentives.

•$100 for completing smoking cessation program.
•$250 for biochemically confirmed cessation at 6 months.
•$400 for confirmed cessation at 12 months.
•i.e. maximum of $750 reward.

"Conclusions:In this study of employees of one large company, financial incentives for smoking cessation significantly increased the rates of smoking cessation."

How much do you need to pay smokers to quit?
A. Kim et al. (2011). JOEM 53(1): 62-67.
行動変容のステージの違いで必要というお金の額が違う

Resistance to P4P4P
2)High turnover rates
Turnover in private insurance markets (and among employees) is high, meaning that savings in future medical spending is likely to accrue to someone else.
3)Fairness concerns (自力で禁煙した人は、このプログラムで禁煙してお金をもらっている人に納得がいかない
Many people favor penalty programs because they find it distasteful to reward people for doing what they should be doing anyway in their own self-interest.
In the Volpp study, once the company decided to scale up the program, feedback from nonsmoking employees resulted in replacement of the $750 reward with a $625 penalty for smokers.
Nonsmokers believed that their colleagues shouldn’t be rewarded for “something I did myself without any reward”. The anticipated difficulty of collecting money from smokers who didn’t quit resulted in the penalty being applied to higher health insurance premiums. Reward systems can be made more salient by being segregated from paychecks, but penalties cannot. But rewards outside of paycheck would also be taxable.

BEHAVIORAL ECONOMICS IN PUBLIC HEALTH POLICY
”Thomas Frieden, “A Framework for Public Health Action: The Health Impact Pyramid”, AJPH 2010; 100: 590-5.”の三角形の図

Two applications of BE in public health policy
1.Tobacco “end game”
2.HPV vaccination

1.Tobacco “end game”
Plos Medicine Debate "the case for a smoker's license"
The Argument
• Advanced countries ought to be planning for a tobacco “end game”.
• Future tobacco sales should be done via a “tobacco user’s license”, using Smart Card technology(日本のタスポって有料?もしそうならこれに近いのでは?)


A Tobacco Smart Card?
•All smokers must register (and pay license fee).
•Retailers can only sell to Smart Card users (achieving more reliable enforcement of illegal sales to minors).
•Smokers pre-commit to maximum daily consumption (e.g. 20 per day). Incentive: lower license fee for lower daily consumption.
•Can enroll registered smokers for cessation interventions – e.g. Quit to Win lotteries.






2.HPV vaccine
•Recommended for all girls & boys ages 11-12.
•Could prevent 70% of all cervical cancer & 90% genital warts.
•Yet uptake rates remain very low (≍ 1/3 of girls aged 13-17 have been fully vaccinated).
•What’s the barrier?

Integrating epidemiology, psychology, and economics to achieve HPV vaccination targets.
Basu S, Chapman GB, Galvani AP.
Proc Natl Acad Sci U S A. 2008 Dec 2;105(48):19018-23. doi: 10.1073/pnas.0808114105. Epub 2008 Nov 17.
PMID: 19015536

Behavioral economics of boosting HPV vaccination uptake
•Problem is not lack of perceived susceptibility.
•Problem is not lack of perceived vaccine efficacy.
•Problem is perceived risk compensation (“The vaccine will drive my child into sexual frenzy as a result of feeling “protected”).
= affect heuristic (since there is no evidence that such behavioral consequences will result).

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