Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback

碩士 === 國立臺灣大學 === 經濟學研究所 === 100 === We propose a rational model to explain the use of counter-intuitive tactics in dynamic (two-person) tournaments. The model predicts when and why both leaders and trailers sometimes intentionally take “risky” tactics in order to win the final victory in high incen...

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Main Authors: Yi-Shan Lee, 李易珊
Other Authors: Tao-yi Wang
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/74780230884710912665
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spelling ndltd-TW-100NTU053890432015-10-13T21:50:17Z http://ndltd.ncl.edu.tw/handle/74780230884710912665 Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback 多期競賽中以「高風險」戰術求勝的理論與實驗 Yi-Shan Lee 李易珊 碩士 國立臺灣大學 經濟學研究所 100 We propose a rational model to explain the use of counter-intuitive tactics in dynamic (two-person) tournaments. The model predicts when and why both leaders and trailers sometimes intentionally take “risky” tactics in order to win the final victory in high incentive tournaments in the mutual fund market, professional sports, competition for executive positions and so on. We then conduct a controlled laboratory experiment on this dynamic tournament with interim performance feedback, and find results that coincide with theoretical predictions in the following three ways: First, players follow model prediction 78% of the time. Second, regression analysis shows that 95% of players follow prediction when theory suggests the “safe” (piece-rate) tactic, while when theory suggests the “risky” (long shot) scheme, trailers follow this prediction 74% (81% when it dominant) of the time, even after controlling for players’ ability, gender and risk attitude. Also, we find that gender and risk preferences play a role in leaders’ behavior when theory predicts indifference. Finally, the experimental distribution of final performance difference is also close to what theory predicts. Tao-yi Wang 王道一 2012 學位論文 ; thesis 45 en_US
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description 碩士 === 國立臺灣大學 === 經濟學研究所 === 100 === We propose a rational model to explain the use of counter-intuitive tactics in dynamic (two-person) tournaments. The model predicts when and why both leaders and trailers sometimes intentionally take “risky” tactics in order to win the final victory in high incentive tournaments in the mutual fund market, professional sports, competition for executive positions and so on. We then conduct a controlled laboratory experiment on this dynamic tournament with interim performance feedback, and find results that coincide with theoretical predictions in the following three ways: First, players follow model prediction 78% of the time. Second, regression analysis shows that 95% of players follow prediction when theory suggests the “safe” (piece-rate) tactic, while when theory suggests the “risky” (long shot) scheme, trailers follow this prediction 74% (81% when it dominant) of the time, even after controlling for players’ ability, gender and risk attitude. Also, we find that gender and risk preferences play a role in leaders’ behavior when theory predicts indifference. Finally, the experimental distribution of final performance difference is also close to what theory predicts.
author2 Tao-yi Wang
author_facet Tao-yi Wang
Yi-Shan Lee
李易珊
author Yi-Shan Lee
李易珊
spellingShingle Yi-Shan Lee
李易珊
Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback
author_sort Yi-Shan Lee
title Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback
title_short Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback
title_full Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback
title_fullStr Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback
title_full_unstemmed Rational Long Shot in Dynamic Tournaments with Interim Performance Feedback
title_sort rational long shot in dynamic tournaments with interim performance feedback
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/74780230884710912665
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AT lǐyìshān duōqījìngsàizhōngyǐgāofēngxiǎnzhànshùqiúshèngdelǐlùnyǔshíyàn
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