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Procrastination in Teams / Joshua S. Gans, Peter Landry.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w21891.Publication details: Cambridge, Mass. National Bureau of Economic Research 2016.Description: 1 online resource: illustrations (black and white)Subject(s): Online resources: Available additional physical forms:
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Abstract: Naively present-biased agents are known to be severe procrastinators. In team settings, procrastination can represent a form of free-riding that, in excess, can jeopardize a team's ability to meet a deadline. Here we show how naivete and present bias, despite their reputations, can be desirable traits in a teammate, enabling a team to optimize its performance while eliminating inefficient free-riding. These benefits emerge only from a more flexible specification (in comparison to existing models) as to how naive players reassess prior beliefs upon confronting present bias. By allowing the 'depth' and 'direction' of such reassessments to vary, our model links present-biased discounting theories to the recently-revived interest in modeling non-Bayesian reactions to null events, while offering a distinct approach reminiscent of level-k reasoning. Key themes from our results include the value of behavioral diversity, the opposite effects of 'introspection' and 'extrospection' on motivation, and that under- and over-thinking can both undermine efficiency.
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Working Paper Biblioteca Digital Colección NBER nber w21891 (Browse shelf(Opens below)) Not For Loan
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January 2016.

Naively present-biased agents are known to be severe procrastinators. In team settings, procrastination can represent a form of free-riding that, in excess, can jeopardize a team's ability to meet a deadline. Here we show how naivete and present bias, despite their reputations, can be desirable traits in a teammate, enabling a team to optimize its performance while eliminating inefficient free-riding. These benefits emerge only from a more flexible specification (in comparison to existing models) as to how naive players reassess prior beliefs upon confronting present bias. By allowing the 'depth' and 'direction' of such reassessments to vary, our model links present-biased discounting theories to the recently-revived interest in modeling non-Bayesian reactions to null events, while offering a distinct approach reminiscent of level-k reasoning. Key themes from our results include the value of behavioral diversity, the opposite effects of 'introspection' and 'extrospection' on motivation, and that under- and over-thinking can both undermine efficiency.

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