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APPENDIX EXAMPLE PRESENTATION SLIDES Introduction Section um , um mo risky and Behavioral Economics i Behavioral economics is a response to the limitations of the standard economic model of Homo , who behave rationally knowingly and , with unlimited computational capacity , never making systematic mistakes . Behavioral economics is about understanding how Home behave , given all at our irrational quirks our , inconsistencies , contradictions , illusions , moods , biases , and ' The goal of Economics is to improve our abilities to identify errors of judgement and choice in others and ourselves ( Thinking , Fast and Slow ) The goal is to make us better Homo sapiens and our institutions stronger ( Thaler and , Nudge ) 672 BEHAVIORAL ECONOMICS
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Chapter I , i , i ina ! i pas ( Homo By 501115 , the has all ol power . exploits the fan that in . will Kali whatever . 11 thus very close to me . sapiens in a of Experiments all over ma world , offer mushy hall . or 202 am minded about half oi the as for ma behaving ( ii mom one . Alma ma Amazon . New . Indonesia . and behave inane like Homo man Home ! Suppose a police Big Al em and asks to his vehicle . Big A can let the police search vehicle which could be a quick or thorough search , depending upon me police citizens ) OI and force ( ha to call in IE Unit . Big Al am Quick Send ! Search , while lie police axe Search Quick Search Canine The . points out to AI Search mum us than ailing in the Canine Unit Should Big Al to police Search his No Canine Uni ! Big Ala , if Big Al allows a search , the officer will choose A ' implying Big Al payoff is and . Sam , the officer 15 If Big Al instead does not allow the , the Canine will is called in , implying Big Al payoff is and the officer is . Thus , game spa IS Big Al noi allowing a semi . and Lhe officer calling in Lhe Canine Unit . BEHAVIORAL ECONOMICS PRACTICUM 679
( 680 ARTHUR Section ' 11 on 11 35 . Weaken mu 11 ( bad ' 11 nut . people and an pay . prim , IN . pam ( um . am ( about watch these how the Wakes ! game show 11 played . Nola 11 15 a over ! ma oath a the the 51 the . two two ma . 11 , 55 number the program have . um . mu . 15 , a . 11 or 11 15 ha . 51 . lulu , whereas 51 predicts fewer . Mu early , WI a rounds 511 . 11 , 51 women and A . Some evidence Inward , 51 . a player ) man Weaken . 43145 . I ! Sumo ! A as ( 15 13 much A record ( we or mun ) 15 rise A ) or ) falls 11 15 . A , and the perks The key 51 makes the sharp the ranking ) a a mam more . gam from 11 opponent 111 . record ol , say , so to I 51 . 1914972000 , the am on 11 , tournament known ) lar often 11 be . the . who 15 on the or an . a surprisingly , 525 ' face and . me who , The . disappears mu . and when the the running , 1211112 ) Media Slide ( Appendix ) Arthur is licensed under a BY Attribution license Slide ( Appendix ) Arthur is licensed under a BY Attribution license Slide Appendix , Jonathan , and 2021 National Academy of Sciences adapted by Arthur is BEHAVIORAL ECONOMICS PRACTICUM 681
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under a BY Attribution license Slide ( Appendix ) Slide 203 ( Appendix ) BEHAVIORAL ECONOMICS PRACTICUM 683