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Abstract / Description of output
We introduce a search-theoretic framework that induces a time preference of a decision-maker who conducts a costly search each period. As a result of optimal decision-making, the induced time preference conforms to well-known empirical and experimental evidence.
First, the induced discount factor increases over time unless the increase in risk aversion caused by the search cost dominates the reverse hazard rate of the search. Hence, any increasing or constant relative risk aversion utility function exhibits procrastination; and if a search cost is small, so does regardless of risk attitude. For a risk-neutral decision-maker, the time preference is stationary if and only if the search is a Bernoulli process. Second, we show that the discount factor increases in fall-back value. Furthermore, if the reverse hazard rate dominates the increase in risk aversion, the wealth effect diminishes, which offers a theoretical foundation of the assumption of Becker and Mulligan (1997).
We further investigate the role of search technology. With a lower search cost, the decision-maker discounts more future value. Better technology in terms of stochastic dominance may make them more patient, but it will eventually them less patient as the deadline approaches.
First, the induced discount factor increases over time unless the increase in risk aversion caused by the search cost dominates the reverse hazard rate of the search. Hence, any increasing or constant relative risk aversion utility function exhibits procrastination; and if a search cost is small, so does regardless of risk attitude. For a risk-neutral decision-maker, the time preference is stationary if and only if the search is a Bernoulli process. Second, we show that the discount factor increases in fall-back value. Furthermore, if the reverse hazard rate dominates the increase in risk aversion, the wealth effect diminishes, which offers a theoretical foundation of the assumption of Becker and Mulligan (1997).
We further investigate the role of search technology. With a lower search cost, the decision-maker discounts more future value. Better technology in terms of stochastic dominance may make them more patient, but it will eventually them less patient as the deadline approaches.
Original language | English |
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Publication status | Published - 9 Mar 2019 |
Event | Game Theory and Business Applications: in Honour of Professor Kalyan Chatterjee - University of Edinburgh Duration: 8 Mar 2019 → 9 Mar 2019 https://sites.google.com/view/kc65/ |
Conference
Conference | Game Theory and Business Applications |
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Period | 8/03/19 → 9/03/19 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- non-stationary time preference
- context-dependent time preference
- procrastination
- wealth effect
- (quasi-)hyperbolic discounting
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Dive into the research topics of 'A rational foundation of procrastination'. Together they form a unique fingerprint.Activities
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Game Theory and Business Applications
Joosung Lee (Organiser)
8 Mar 2019 → 9 Mar 2019Activity: Participating in or organising an event types › Participation in workshop, seminar, course