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Journal articles on the topic 'Time-inconsistent preferences'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Guo, Nick L., and Frank N. Caliendo. "Time-inconsistent preferences and time-inconsistent policies." Journal of Mathematical Economics 51 (March 2014): 102–8. http://dx.doi.org/10.1016/j.jmateco.2014.01.007.

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2

Caillaud, Bernard, and Bruno Jullien. "Modelling time-inconsistent preferences." European Economic Review 44, no. 4-6 (May 2000): 1116–24. http://dx.doi.org/10.1016/s0014-2921(99)00061-6.

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3

Dodd, Mark. "Obesity and time-inconsistent preferences." Obesity Research & Clinical Practice 2, no. 2 (July 2008): 83–89. http://dx.doi.org/10.1016/j.orcp.2008.04.006.

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4

Chen, Shou, and Guangbing Li. "Time-Inconsistent Preferences, Retirement, and Increasing Life Expectancy." Mathematical Problems in Engineering 2019 (January 10, 2019): 1–9. http://dx.doi.org/10.1155/2019/8681471.

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We study consumption behavior, retirement decisions, and endogenous growth within a dynamic equilibrium when individuals have present-biased preferences. Compared to individual with exponential preferences, individual with hyperbolic preferences will choose to retire early for present-biased preferences but to delay retirement for the initial time preference rate. We extend the benchmark equilibrium model to age-dependent survival law and solve numerically the equilibrium effects. It shows that, at the same age, the consumption-capital ratio may have slightly positive effect on increasing life expectancy before retirement but has a significantly positive effect on it after retirement.

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5

Liu, Yang, and Jinqiang Yang. "Entrepreneurship Dynamics under Time Inconsistent Preferences." Journal of Mathematical Finance 05, no. 01 (2015): 40–48. http://dx.doi.org/10.4236/jmf.2015.51004.

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6

Imrohoroglu, A., S. Imrohoroglu, and D. H. Joines. "Time-Inconsistent Preferences and Social Security." Quarterly Journal of Economics 118, no. 2 (May 1, 2003): 745–84. http://dx.doi.org/10.1162/003355303321675509.

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7

Liu, Liya, Yingjie Niu, Yuanping Wang, and Jinqiang Yang. "Optimal consumption with time-inconsistent preferences." Economic Theory 70, no. 3 (September 30, 2019): 785–815. http://dx.doi.org/10.1007/s00199-019-01228-1.

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8

Wärneryd, Karl. "Sexual reproduction and time-inconsistent preferences." Economics Letters 95, no. 1 (April 2007): 14–16. http://dx.doi.org/10.1016/j.econlet.2006.08.034.

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9

Chen, Shumin, Zhongfei Li, and Yan Zeng. "Optimal dividend strategies with time-inconsistent preferences." Journal of Economic Dynamics and Control 46 (September 2014): 150–72. http://dx.doi.org/10.1016/j.jedc.2014.06.018.

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10

Liu, Wenqiong, Wenli Huang, Bo Liu, and Congming Mu. "Optimal mortgage contracts with time-inconsistent preferences." European Journal of Finance 25, no. 18 (July 31, 2019): 1834–55. http://dx.doi.org/10.1080/1351847x.2019.1649290.

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11

Hoch, Stephen J., and George F. Loewenstein. "Time-Inconsistent Preferences and Consumer Self-Control." Journal of Consumer Research 17, no. 4 (March 1991): 492. http://dx.doi.org/10.1086/208573.

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12

li, Hong, Congming Mu, and Jinqiang Yang. "Optimal contract theory with time-inconsistent preferences." Economic Modelling 52 (January 2016): 519–30. http://dx.doi.org/10.1016/j.econmod.2015.09.032.

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13

Liu, Bo, Lei Lu, Congming Mu, and Jinqiang Yang. "Time-inconsistent preferences, investment and asset pricing." Economics Letters 148 (November 2016): 48–52. http://dx.doi.org/10.1016/j.econlet.2016.09.015.

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14

Schreiber, Philipp, and Martin Weber. "Time inconsistent preferences and the annuitization decision." Journal of Economic Behavior & Organization 129 (September 2016): 37–55. http://dx.doi.org/10.1016/j.jebo.2016.06.008.

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15

GRENADIER, S., and N. WANG. "Investment under uncertainty and time-inconsistent preferences☆." Journal of Financial Economics 84, no. 1 (April 2007): 2–39. http://dx.doi.org/10.1016/j.jfineco.2006.01.002.

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16

Weinschenk, Philipp. "On the benefits of time-inconsistent preferences." Journal of Economic Behavior & Organization 182 (February 2021): 185–95. http://dx.doi.org/10.1016/j.jebo.2020.11.035.

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17

Krčál, Ondřej, Stefanie Peer, and Rostislav Staněk. "Can time-inconsistent preferences explain hypothetical biases?" Economics of Transportation 25 (March 2021): 100207. http://dx.doi.org/10.1016/j.ecotra.2021.100207.

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18

Ahn, David S., Ryota Iijima, Yves Le Yaouanq, and Todd Sarver. "Behavioural Characterizations of Naivete for Time-Inconsistent Preferences." Review of Economic Studies 86, no. 6 (January 7, 2019): 2319–55. http://dx.doi.org/10.1093/restud/rdy076.

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Abstract We propose non-parametric definitions of absolute and comparative naivete. These definitions leverage ex ante choice of menu to identify predictions of future behaviour and ex post (random) choices from menus to identify actual behaviour. The main advantage of our definitions is their independence from any assumed functional form for the utility function representing behaviour. An individual is sophisticated if she is indifferent ex ante between retaining the option to choose from a menu ex post or committing to her actual distribution of choices from that menu. She is naive if she prefers the flexibility in the menu, reflecting a mistaken belief that she will act more virtuously than she actually will. We propose two definitions of comparative naivete and explore the restrictions implied by our definitions for several prominent models of time inconsistency.

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19

Lien, Donald, and Chia-Feng Jeffrey Yu. "Production and Anticipatory Hedging under Time-Inconsistent Preferences." Journal of Futures Markets 35, no. 10 (October 24, 2014): 961–85. http://dx.doi.org/10.1002/fut.21697.

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20

Ko, K. Jeremy, and Zhijian Huang. "Time-inconsistent risk preferences in a laboratory experiment." Review of Quantitative Finance and Accounting 39, no. 4 (November 23, 2011): 471–84. http://dx.doi.org/10.1007/s11156-011-0264-x.

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21

Hu, Fan, Fan Zhang, and Zhentao Zou. "R&D investment under time-inconsistent preferences." Economics Letters 197 (December 2020): 109620. http://dx.doi.org/10.1016/j.econlet.2020.109620.

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22

Luttmer, Erzo G. J., and Thomas Mariotti. "Efficiency and equilibrium when preferences are time-inconsistent." Journal of Economic Theory 132, no. 1 (January 2007): 493–506. http://dx.doi.org/10.1016/j.jet.2005.07.004.

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23

Ekeland, Ivar, and Ali Lazrak. "The golden rule when preferences are time inconsistent." Mathematics and Financial Economics 4, no. 1 (November 11, 2010): 29–55. http://dx.doi.org/10.1007/s11579-010-0034-x.

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24

Herings, P. Jean-Jacques, and Kirsten I. M. Rohde. "Time-inconsistent preferences in a general equilibrium model." Economic Theory 29, no. 3 (October 15, 2005): 591–619. http://dx.doi.org/10.1007/s00199-005-0020-3.

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25

Caliendo, Frank N. "Time-inconsistent preferences and social security: Revisited in continuous time." Journal of Economic Dynamics and Control 35, no. 5 (May 2011): 668–75. http://dx.doi.org/10.1016/j.jedc.2010.12.006.

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26

Chen, Shou, and Guangbing Li. "Time-inconsistent preferences, consumption, investment and life insurance decisions." Applied Economics Letters 27, no. 5 (May 23, 2019): 392–99. http://dx.doi.org/10.1080/13504851.2019.1617395.

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27

Palacios-Huerta, I. "Time-Inconsistent Preferences in Adam Smith and David Hume." History of Political Economy 35, no. 2 (June 1, 2003): 241–68. http://dx.doi.org/10.1215/00182702-35-2-241.

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28

Liu, Bo, Congming Mu, and Jinqiang Yang. "Dynamic agency and investment theory with time-inconsistent preferences." Finance Research Letters 20 (February 2017): 88–95. http://dx.doi.org/10.1016/j.frl.2016.09.017.

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29

Liu, Bo, Yingjie Niu, and Yuhua Zhang. "Corporate liquidity and risk management with time-inconsistent preferences." Economic Modelling 81 (September 2019): 295–307. http://dx.doi.org/10.1016/j.econmod.2019.05.007.

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30

Li, Jiangyuan, Bo Liu, Jinqiang Yang, and Zhentao Zou. "Hedge fund’s dynamic leverage decisions under time-inconsistent preferences." European Journal of Operational Research 284, no. 2 (July 2020): 779–91. http://dx.doi.org/10.1016/j.ejor.2019.12.037.

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31

Tian, Yuan. "Optimal capital structure and investment decisions under time-inconsistent preferences." Journal of Economic Dynamics and Control 65 (April 2016): 83–104. http://dx.doi.org/10.1016/j.jedc.2016.02.001.

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32

Guo, Qian-Wen, Shumin Chen, Paul Schonfeld, and Zhongfei Li. "How time-inconsistent preferences affect investment timing for rail transit." Transportation Research Part B: Methodological 118 (December 2018): 172–92. http://dx.doi.org/10.1016/j.trb.2018.10.009.

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33

Zhao, Qian, Rongming Wang, and Jiaqin Wei. "Exponential utility maximization for an insurer with time-inconsistent preferences." Insurance: Mathematics and Economics 70 (September 2016): 89–104. http://dx.doi.org/10.1016/j.insmatheco.2016.06.003.

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34

Wang, Ying, Wenli Huang, Bo Liu, and Xiaohong Zhang. "Optimal effort in the principal-agent problem with time-inconsistent preferences." North American Journal of Economics and Finance 52 (April 2020): 100909. http://dx.doi.org/10.1016/j.najef.2019.01.006.

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35

Milkman, Katherine L., Todd Rogers, and Max H. Bazerman. "Highbrow Films Gather Dust: Time-Inconsistent Preferences and Online DVD Rentals." Management Science 55, no. 6 (June 2009): 1047–59. http://dx.doi.org/10.1287/mnsc.1080.0994.

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36

Mañó-Cabello, Carles, Jesús Marín-Solano, and Jorge Navas. "A Resource Extraction Model with Technology Adoption under Time Inconsistent Preferences." Mathematics 9, no. 18 (September 8, 2021): 2205. http://dx.doi.org/10.3390/math9182205.

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A two-stage non-standard optimal control problem with time inconsistent preferences is studied. In an infinite horizon setting, a time consistent (sophisticated) decision maker chooses the time of switching between two consecutive regimes. The second regime corresponds to the implementation of a new technology, and a cost must be paid at the switching time. Although the problem is formulated for a general discount function, special attention is devoted to models with nonconstant discounting and heterogeneous discounting. The problem is solved by transforming it into a problem in a finite horizon and free terminal time. The corresponding dynamic programming equations are presented, and conditions for the derivation of the switching time by decision makers with different degrees of sophistication are studied. A resource extraction model with technology adoption is solved in detail. Effects of the adoption of different discount functions are illustrated numerically.

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37

Soofi, Moslem, Ali Akbari Sari, Satar Rezaei, Mohammad Hajizadeh, and Farid Najafi. "Individual time preferences and obesity." International Journal of Social Economics 47, no. 1 (November 1, 2019): 16–26. http://dx.doi.org/10.1108/ijse-04-2019-0271.

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Purpose Behavioral economic analysis of health-related behavior is a potentially useful approach to study and control non-communicable diseases. The purpose of this paper is to explore the time preferences of individuals and its impact on obesity in an adult population of Iran. Design/methodology/approach A structured questionnaire was completed by 792 individuals who were randomly selected from the participants of an ongoing national Prospective Epidemiological Research Studies in IrAN cohort study in West of Iran. The quasi-hyperbolic discounting model was used to estimate the parameters of time preferences and a probit regression model was used to explore the correlation between obesity and time preferences. Findings There was a statistically significant correlation between obesity and both the long-run patience and present-biased preferences of participants. Individuals with a low level of long-run patience were 10.2 percentage points more likely to be obese compared to individuals with a high level of long-run patience. The probability of being obese increased by 11 percentage points in present-biased individuals compared to future biased individuals. Originality/value The long-run patience and time inconsistent preferences were significant determinants of obesity. Considering the time-inconsistent preferences in the development of policies to change obesity-related behavior among adults might increase the success rate of the interventions.

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38

A, Chunxiang, Zhongfei Li, and Fan Wang. "Optimal investment strategy under time-inconsistent preferences and high-water mark contract." Operations Research Letters 44, no. 2 (March 2016): 212–18. http://dx.doi.org/10.1016/j.orl.2015.12.013.

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39

Zhao, Qian, Rongming Wang, and Jiaqin Wei. "Minimization of risks in defined benefit pension plan with time-inconsistent preferences." Applied Stochastic Models in Business and Industry 32, no. 2 (November 3, 2015): 243–58. http://dx.doi.org/10.1002/asmb.2148.

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40

Zhu, Jinxia, Tak Kuen Siu, and Hailiang Yang. "Singular dividend optimization for a linear diffusion model with time-inconsistent preferences." European Journal of Operational Research 285, no. 1 (August 2020): 66–80. http://dx.doi.org/10.1016/j.ejor.2019.04.027.

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41

Khan, Sarah S., Moutaz Khouja, and Ram L. Kumar. "Effects of time-inconsistent preferences on information technology infrastructure investments with growth options." European Journal of Information Systems 22, no. 2 (March 2013): 206–20. http://dx.doi.org/10.1057/ejis.2012.4.

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42

Persson, Torsten, and Lars E. O. Svensson. "Why a Stubborn Conservative would Run a Deficit: Policy with Time- Inconsistent Preferences." Quarterly Journal of Economics 104, no. 2 (May 1989): 325. http://dx.doi.org/10.2307/2937850.

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43

Andrikopoulos, Panagiotis, and Nick Webber. "Understanding time-inconsistent heterogeneous preferences in economics and finance: a practice theory approach." Annals of Operations Research 282, no. 1-2 (March 31, 2018): 3–26. http://dx.doi.org/10.1007/s10479-018-2836-9.

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44

Chen, Shumin, Xi Wang, Yinglu Deng, and Yan Zeng. "Optimal dividend-financing strategies in a dual risk model with time-inconsistent preferences." Insurance: Mathematics and Economics 67 (March 2016): 27–37. http://dx.doi.org/10.1016/j.insmatheco.2015.11.005.

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45

Lioui, Abraham. "Time consistent vs. time inconsistent dynamic asset allocation: Some utility cost calculations for mean variance preferences." Journal of Economic Dynamics and Control 37, no. 5 (May 2013): 1066–96. http://dx.doi.org/10.1016/j.jedc.2013.01.007.

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46

Yang, Yehong, and Guohua Cao. "Optimal Financing and Dividend Strategies with Time Inconsistency in a Regime Switching Economy." Complexity 2019 (April 4, 2019): 1–11. http://dx.doi.org/10.1155/2019/8479503.

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This paper incorporates a manager’s time-inconsistent preferences into the unified dynamic q-theoretic framework to investigate their impact on the optimal external financing and dividend payout strategies in a regime switching economy. We find that with a higher degree of time inconsistency, either in a favorable market condition or in a financial crisis, dividends are paid out earlier and the equity issues are smaller in size in each occurrence; in a favorable market condition equity financing occurs particularly early. Hence, time inconsistency would result in a decreasing of a firm’s precautionary savings, which may directly cause capital chain rupture and make liquidation more likely. It also implies that corporate external financing and dividend payout are highly dependent on the degree of the manager’s time-inconsistent preferences in a regime switching economy.

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47

Tewell, Eamon C. "Frequent Internet Users May Prefer More Health Care Information and Participation in Decision-Making." Evidence Based Library and Information Practice 9, no. 1 (March 5, 2014): 51. http://dx.doi.org/10.18438/b8990n.

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Objective – To determine whether there is a significant relationship between patients’ frequency of Internet use and their health care information and decision-making preferences. Design – Cross-sectional questionnaire survey. Settings – Undergraduate classes at a large state university and senior-oriented computer classes at public libraries and senior centers. Subjects – 438 respondents, including 226 undergraduates (mean age 20) and 212 community-dwelling older adults (mean age 72). Methods – Respondents were administered the Health Information Wants Questionnaire (HIWQ), a 21-item instrument designed to measure preferences for 7 types of health information and decision-making, in group settings. Main Results – The younger age group spent significantly more time online compared to the older age group. Frequent Internet users in both populations expressed an overall preference for more information regarding diagnosis, but less information for psychosocial and health care provider concerns. Internet use was positively correlated to the overall preference rating, leading the researchers to suggest that, as a whole, regular Internet users prefer more information and independence in decision-making. Conclusions – The study concludes that Internet use frequency is associated with an overall preference for obtaining health information and participating in decision making. Internet use as related to different types of preferences is inconsistent. Age was not found to be associated with the overall preference rating, and time spent online is proposed to be a stronger indicator of respondents’ health information preferences. The authors suggest that future studies utilizing the HIWQ take a longitudinal approach in order to better track how patient preferences for information may evolve over time.

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48

Chen, Shumin, Zhongfei Li, and Yan Zeng. "Optimal Dividend Strategy for a General Diffusion Process with Time-Inconsistent Preferences and Ruin Penalty." SIAM Journal on Financial Mathematics 9, no. 1 (January 2018): 274–314. http://dx.doi.org/10.1137/16m1088983.

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49

Chen, Shumin, Yan Zeng, and Zhifeng Hao. "Optimal dividend strategies with time-inconsistent preferences and transaction costs in the Cramér–Lundberg model." Insurance: Mathematics and Economics 74 (May 2017): 31–45. http://dx.doi.org/10.1016/j.insmatheco.2017.02.009.

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50

Jackson, Matthew O., and Leeat Yariv. "Collective Dynamic Choice: The Necessity of Time Inconsistency." American Economic Journal: Microeconomics 7, no. 4 (November 1, 2015): 150–78. http://dx.doi.org/10.1257/mic.20140161.

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We study collective decisions by time-discounting individuals choosing a common consumption stream. We show that with any heterogeneity in time preferences, every Pareto efficient and non-dictatorial method of aggregating utility functions must be time-inconsistent. We also show that decisions made via non-dictatorial voting methods are intransitive.(JEL D71, D72, D91)

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