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Individual discount rates: a meta-analysis of experimental evidence

Published online by Cambridge University Press:  14 March 2025

Jindrich Matousek ,
Tomas Havranek  and
Zuzana Irsova Open the ORCID record for Zuzana Irsova [Opens in a new window]
Jindrich Matousek
Affiliation:
Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic
Tomas Havranek
Affiliation:
Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic
Zuzana Irsova*
Affiliation:
Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic
*
[email protected]
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Abstract

A key parameter estimated by lab and field experiments in economics is the individual discount rate—and the results vary widely. We examine the extent to which this variance can be attributed to observable differences in methods, subject pools, and potential publication bias. To address the model uncertainty inherent to such an exercise we employ Bayesian and frequentist model averaging. We obtain evidence consistent with publication bias against unintuitive results. The corrected mean annual discount rate is 0.33. Our findings also suggest that discount rates are independent across domains: people tend to be less patient when health is at stake compared to money. Negative framing is associated with more patience. Finally, the results of lab and field experiments differ systematically, and it also matters whether the experiment relies on students or uses broader samples of the population.

Keywords

Discount rateExperimentPublication biasMeta-analysisBayesian model averagingFrequentist model averaging

JEL classification

D01: Microeconomic Behavior: Underlying Principles C90: General C83: Survey Methods • Sampling Methods
Type
Original Paper
Information
Experimental Economics , Volume 25 , Issue 1 , February 2022 , pp. 318 - 358
Copyright
Copyright © 2021 Economic Science Association

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Footnotes

Supplementary information The online version contains supplementary material available at https://doi.org/10.1007/s10683-021-09716-9.

We are grateful to the editors, Marie Claire Villleval and Roberto A. Weber, and two anonymous referees for their helpful comments. An online appendix with data and code is available at meta-analysis.cz/discrate. Matousek acknowledges support from the Czech Science Foundation (Grant #21-09231S) and Charles University (project Primus/17/HUM/16). Havranek and Irsova acknowledge support from the Czech Science Foundation (Grant #19-26812X).

References

Abdellaoui, M, Attema, A, & Bleichrodt, H (2010). Intertemporal trade-offs for gains and losses: An experimental measurement of discounted utility. The Economic Journal, 120(545), 845–866. 10.1111/j.1468-0297.2009.02308.xCrossRefGoogle Scholar
Ainslie, G (1975). Specious reward: A behavioral theory of impulsiveness and impulse control. Psychological Bulletin, 82(4), 463–496. 10.1037/h0076860CrossRefGoogle ScholarPubMed
Al-Ubaydli, O, & List, JA (2015). Do natural field experiments afford researchers more or less control than laboratory experiments?. American Economic Review, 105(5), 462–466. 10.1257/aer.p20151013CrossRefGoogle Scholar
Altmejd, A, Dreber, A, Forsell, E, Huber, J, Imai, T, Johannesson, M et al., (2019). Predicting the replicability of social science lab experiments. PLOS ONE, 14(12), 1–18. 10.1371/journal.pone.0225826CrossRefGoogle ScholarPubMed
Amini, SM, & Parmeter, CF (2012). Comparison of model averaging techniques: Assessing growth determinants. Journal of Applied Econometrics, 27(5), 870–876. 10.1002/jae.2288CrossRefGoogle Scholar
Andersen, S, Harrison, G, Lau, M, & Rutstrom, E (2006). Elicitation using multiple price list formats. Experimental Economics, 9(4), 383–405. 10.1007/s10683-006-7055-6CrossRefGoogle Scholar
Andersen, S, Harrison, G, Lau, M, & Rutstrom, E (2008). Eliciting risk and time preferences. Econometrica, 76(3), 583–618. 10.1111/j.1468-0262.2008.00848.xCrossRefGoogle Scholar
Andersen, S, Harrison, G, Lau, M, & Rutstrom, E (2010). Preference heterogeneity in experiments: Comparing the field and laboratory. Journal of Economic Behavior & Organization, 73(2), 209–224. 10.1016/j.jebo.2009.09.006CrossRefGoogle Scholar
Andersen, S, Harrison, G, Lau, M, & Rutstrom, E (2013). Discounting behaviour and the magnitude effect: Evidence from a field experiment in Denmark. Economica, 80(320), 670–697.CrossRefGoogle Scholar
Andersen, S, Harrison, G, Lau, M, & Rutstrom, E (2014). Discounting behavior: A reconsideration. European Economic Review, 71, 15–33. 10.1016/j.euroecorev.2014.06.009CrossRefGoogle Scholar
Andreoni, J, Kuhn, MA, & Sprenger, C (2015). Measuring time preferences: A comparison of experimental methods. Journal of Economic Behavior & Organization, 116, 451–464. 10.1016/j.jebo.2015.05.018CrossRefGoogle Scholar
Andreoni, J, & Sprenger, C (2012). Estimating time preferences from convex budgets. American Economic Review, 102(7), 3333–3356. 10.1257/aer.102.7.3333CrossRefGoogle Scholar
Andreoni, J, & Sprenger, C (2012). Risk preferences are not time preferences. American Economic Review, 102(7), 3357–3376. 10.1257/aer.102.7.3357CrossRefGoogle Scholar
Andrews, I, & Kasy, M (2019). Identification of and correction for publication bias. American Economic Review, 109(8), 2766–94 10.1257/aer.20180310CrossRefGoogle Scholar
Anthoff, D, Tol, RSJ, & Yohe, GW (2009). Risk aversion, time preference, and the social cost of carbon. Environmental Research Letters, 4(2), 240–242. 10.1088/1748-9326/4/2/024002CrossRefGoogle Scholar
Astakhov, A, Havranek, T, & Novak, J (2019). Firm size and stock returns: A quantitative survey. Journal of Economic Surveys, 33(5), 1463–1492. 10.1111/joes.12335CrossRefGoogle Scholar
Attema, AE, Bleichrodt, H, Gao, Y, Huang, Z, & Wakker, PP (2016). Measuring discounting without measuring utility. American Economic Review, 106(6), 1476–1494. 10.1257/aer.20150208CrossRefGoogle Scholar
Babecky, J, & Havranek, T (2014). Structural reforms and growth in transition. The Economics of Transition, 22(1), 13–42. 10.1111/ecot.12029CrossRefGoogle Scholar
Bajzik, J, Havranek, T, Irsova, Z, & Schwarz, J (2020). Estimating the Armington elasticity: The importance of study design and publication bias. Journal of International Economics, 127, 103383 10.1016/j.jinteco.2020.103383CrossRefGoogle Scholar
Bauer, M, & Chytilova, J (2010). The impact of education on subjective discount rate in Ugandan Villages. Economic Development and Cultural Change, 58(4), 643–669. 10.1086/652475CrossRefGoogle Scholar
Bauer, M, & Chytilova, J (2013). Women, children and patience: Experimental evidence from Indian Villages. Review of Development Economics, 17(4), 662–675. 10.1111/rode.12057CrossRefGoogle Scholar
Bauer, M, Chytilova, J, & Morduch, J (2012). Behavioral foundations of microcredit: Experimental and survey evidence from rural India. American Economic Review, 102(2), 1118–1139. 10.1257/aer.102.2.1118CrossRefGoogle Scholar
Benzion, U, Rapoport, A, & Yagil, J (1989). Discount rates inferred from decisions: An experimental study. Management Science, 35(3), 270–284. 10.1287/mnsc.35.3.270CrossRefGoogle Scholar
Blanco-Perez, C, & Brodeur, A (2020). Publication bias and editorial statement on negative findings. Economic Journal, 130(629), 1226–1247. 10.1093/ej/ueaa011CrossRefGoogle Scholar
Bleichrodt, H, Gao, Y, & Rohde, KIM (2016). A measurement of decreasing impatience for health and money. Journal of Risk and Uncertainty, 52(3), 213–231. 10.1007/s11166-016-9240-0CrossRefGoogle Scholar
Bom, PRD, & Rachinger, H (2019). A kinked meta-regression model for publication bias correction. Research Synthesis Methods, 10(4), 497–514. 10.1002/jrsm.1352CrossRefGoogle ScholarPubMed
Booij, AS, & van Praag, BM (2009). A simultaneous approach to the estimation of risk aversion and the subjective time discount rate. Journal of Economic Behavior & Organization, 70(1–2), 374–388. 10.1016/j.jebo.2009.01.005CrossRefGoogle Scholar
Brodeur, A, Cook, N, & Heyes, A (2020). A proposed specification check for p-hacking. AEA Papers and Proceedings, 110, 66–69. 10.1257/pandp.20201078CrossRefGoogle Scholar
Brodeur, A, Cook, N, & Heyes, A (2020). Methods matter: P-hacking and causal inference in economics. American Economic Review, 110(11), 3634–60 10.1257/aer.20190687CrossRefGoogle Scholar
Brodeur, A, Le, M, Sangnier, M, & Zylberberg, Y (2016). Star wars: The empirics strike back. American Economic Journal: Applied Economics, 8(1), 1–32.Google Scholar
Brown, A, Imai, T, Vieider, F, & Camerer, CF (2021). Meta-analysis of empirical estimates of loss-aversion, LMU Munich: Mimeo 10.2139/ssrn.3772089CrossRefGoogle Scholar
Brown, AL, Chua, ZE, & Camerer, CF (2009). Learning and visceral temptation in dynamic saving experiments. The Quarterly Journal of Economics, 124(1), 197–231. 10.1162/qjec.2009.124.1.197CrossRefGoogle Scholar
Burks, S, Carpenter, J, Gotte, L, & Rustichini, A (2012). Which measures of time preference best predict outcomes: Evidence from a large-scale field experiment. Journal of Economic Behavior & Organization, 84(1), 308–320. 10.1016/j.jebo.2012.03.012CrossRefGoogle Scholar
Cairns, JA (1992). Health, wealth and time preference. Project Appraisal, 7(1), 31–40. 10.1080/02688867.1992.9726836CrossRefGoogle Scholar
Cairns, JA, & van der Pol, M (1997). Constant and decreasing timing aversion for saving lives. Social Science & Medicine, 45(11), 1653–1659. 10.1016/S0277-9536(97)00100-7CrossRefGoogle ScholarPubMed
Camerer, CF, Dreber, A, Ho, TH, Huber, J, Johannesson, M, Kirchler, M et al., (2016). Evaluating replicability of laboratory experiments in economics. Science, 351(6280), 1433–1436. 10.1126/science.aaf0918CrossRefGoogle ScholarPubMed
Camerer, CF, Dreber, A, Holzmeister, F, Ho, TH, Huber, J, Johannesson, M et al., (2018). Evaluating the replicability of social science experiments in nature and science between 2010 and 2015. Nature Human Behaviour, 2, 637–644. 10.1038/s41562-018-0399-zCrossRefGoogle Scholar
Campos, NF, Fidrmuc, J, & Korhonen, I (2019). Business cycle synchronisation and currency unions: A review of the econometric evidence using meta-analysis. International Review of Financial Analysis, 61, 274–283. 10.1016/j.irfa.2018.11.012CrossRefGoogle Scholar
Carlsson, F, He, H, Martinsson, P, Qin, P, & Sutter, M (2012). Household decision making in rural China: Using experiments to estimate the influences of spouses. Journal of Economic Behavior & Organization, 84(2), 525–536. 10.1016/j.jebo.2012.08.010CrossRefGoogle Scholar
Carter, JR, & Irons, MD (1991). Are economists different, and if so, why?. Journal of Economic Perspectives, 5(2), 171–177. 10.1257/jep.5.2.171CrossRefGoogle Scholar
Cassar, A, Healy, A, & Von Kessler, C (2017). Trust, risk, and time preferences after a natural disaster: Experimental evidence from Thailand. World Development, 94, 90–105. 10.1016/j.worlddev.2016.12.042CrossRefGoogle Scholar
Castillo, M, Ferraro, PJ, Jordan, JL, & Petrie, R (2011). The today and tomorrow of kids: Time preferences and educational outcomes of children. Journal of Public Economics, 95(11), 1377–1385. 10.1016/j.jpubeco.2011.07.009CrossRefGoogle Scholar
Cazachevici, A, Havranek, T, & Horvath, R (2020). Remittances and economic growth: A meta-analysis. World Development, 134, 105021 10.1016/j.worlddev.2020.105021CrossRefGoogle Scholar
Chabris, CF, Laibson, D, Morris, CL, Schuldt, JP, & Taubinsky, D (2008). Individual laboratory-measured discount rates predict field behavior. Journal of Risk and Uncertainty, 37(2–3), 237–269. 10.1007/s11166-008-9053-xCrossRefGoogle ScholarPubMed
Chabris, C. F., Laibson, D., Morris, C. L., Schuldt, J. P., & Taubinsky, D. (2008b). Measuring Intertemporal Preferences Using Response Times. NBER Working Paper 2008/14353, National Bureau of Economic Research, Cambridge: MA.CrossRefGoogle Scholar
Chabris, CF, Laibson, D, Morris, CL, Schuldt, JP, & Taubinsky, D (2009). The allocation of time in decision-making. Journal of the European Economic Association, 7(2–3), 628–637. 10.1162/JEEA.2009.7.2-3.628CrossRefGoogle ScholarPubMed
Chapman, GB (1996). Temporal discounting and utility for health and money. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22(3), 771–791.Google ScholarPubMed
Chapman, GB, & Elstein, AS (1995). Valuing the future: Temporal discounting of health and money. Medical Decision Making, 15(4), 373–386. 10.1177/0272989X9501500408CrossRefGoogle ScholarPubMed
Chapman, GB, Nelson, R, & Hier, DB (1999). Familiarity and time preferences: Decision making about treatments for migraine headaches and Crohn’s disease. Journal of Experimental Psychology: Applied, 5(1), 17–34.Google Scholar
Chapman, GB, & Winquist, JR (1998). The magnitude effect: Temporal discount rates and restaurant tips. Psychonomic Bulletin & Review, 5(1), 119–123. 10.3758/BF03209466CrossRefGoogle Scholar
Chesson, H, & Viscusi, WK (2000). The heterogeneity of time-risk tradeoffs. Journal of Behavioral Decision Making, 13(2), 251–258. 10.1002/(SICI)1099-0771(200004/06)13:2<251::AID-BDM328>3.0.CO;2-P3.0.CO;2-P>CrossRefGoogle Scholar
Cheung, SL (2016). Recent developments in the experimental elicitation of time preference. Journal of Behavioral and Experimental Finance, 11, 1–8. 10.1016/j.jbef.2016.04.001CrossRefGoogle Scholar
Cohen, J, Ericson, KM, Laibson, D, & White, JM (2020). Measuring time preferences. Journal of Economic Literature, 58(2), 299–347. 10.1257/jel.20191074CrossRefGoogle ScholarPubMed
Coller, M, & Williams, MB (1999). Eliciting individual discount rates. Experimental Economics, 2(2), 107–127. 10.1023/A:1009986005690CrossRefGoogle Scholar
Davis, DD, & Holt, CA (1993). Experimental economics, Princeton University Press: Princeton 10.1515/9780691233376CrossRefGoogle Scholar
Dean, M, & Sautmann, A (2021). Credit constraints and the measurement of time preferences. Review of Economics and Statistics, 103(1), 119–135. 10.1162/rest_a_00903CrossRefGoogle Scholar
Deck, C, & Jahedi, S (2015). An experimental investigation of time discounting in strategic settings. Journal of Behavioral and Experimental Economics, 54, 95–104. 10.1016/j.socec.2014.12.004CrossRefGoogle Scholar
Deck, C, & Jahedi, S (2015). Time discounting in strategic contests. Journal of Economics & Management Strategy, 24(1), 151–164. 10.1111/jems.12082Google Scholar
Depositario, DPT, Nayga, RM, Wu, X, & Laude, TP (2009). Should students be used as subjects in experimental auctions?. Economics Letters, 102(2), 122–124. 10.1016/j.econlet.2008.11.018CrossRefGoogle Scholar
Dolan, P, & Gudex, C (1995). Time preference, duration and health state valuations. Health Economics, 4(4), 289–299. 10.1002/hec.4730040405CrossRefGoogle ScholarPubMed
Doucouliagos, C, & Stanley, TD (2013). Are all economic facts greatly exaggerated? Theory competition and selectivity. Journal of Economic Surveys, 27(2), 316–339. 10.1111/j.1467-6419.2011.00706.xCrossRefGoogle Scholar
Doucouliagos, H, & Paldam, M (2011). The ineffectiveness of development aid on growth: An update. European Journal of Political Economy, 27(2), 399–404. 10.1016/j.ejpoleco.2010.11.004CrossRefGoogle Scholar
Dreyfus, MK, & Viscusi, WK (1995). Rates of time preference and consumer valuations of automobile safety and fuel efficiency. The Journal of Law and Economics, 38(1), 79–105. 10.1086/467326CrossRefGoogle Scholar
Duan, J, Das, KK, Meriluoto, L, & Reed, WR (2020). Estimating the effect of spillovers on exports: A meta-analysis. Review of World Economics, 156(2), 219–249. 10.1007/s10290-020-00377-zCrossRefGoogle Scholar
Duquette, E, Higgins, N, & Horowitz, J (2012). Farmer discount rates: Experimental evidence. American Journal of Agricultural Economics, 94(2), 451–456. 10.1093/ajae/aar067CrossRefGoogle Scholar
Egger, M, Davey Smith, G, Schneider, M, & Minder, C (1997). Bias in meta-analysis detected by a simple. Graphical Test. British Medical Journal, 315(7109), 629–34.Google ScholarPubMed
Eicher, TS, Papageorgiou, C, & Raftery, AE (2011). Default priors and predictive performance in Bayesian model averaging, with application to growth determinants. Journal of Applied Econometrics, 26(1), 30–55. 10.1002/jae.1112CrossRefGoogle Scholar
Fearnside, PM (2002). Time preference in global warming calculations: A proposal for a unified index. Ecological Economics, 41(1), 21–31. 10.1016/S0921-8009(02)00004-6CrossRefGoogle Scholar
Fernandez, C, Ley, E, & Steel, MF (2001). Benchmark priors for Bayesian model averaging. Journal of Econometrics, 100(2), 381–427. 10.1016/S0304-4076(00)00076-2CrossRefGoogle Scholar
Field, E, Pande, R, Papp, J, & Rigol, N (2013). Does the classic microfinance model discourage entrepreneurship among the poor? Experimental evidence from India. American Economic Review, 103(6), 2196–2226. 10.1257/aer.103.6.2196CrossRefGoogle Scholar
Finke, MS, & Huston, SJ (2013). Time preference and the importance of saving for retirement. Journal of Economic Behavior & Organization, 89, 23–34. 10.1016/j.jebo.2013.03.004CrossRefGoogle Scholar
Fisher, I (1930). The theory of interest, New York: Macmillan.Google Scholar
Foley, DK, Rezai, A, & Taylor, L (2013). The social cost of carbon emissions: Seven propositions. Economics Letters, 121(1), 90–97. 10.1016/j.econlet.2013.07.006CrossRefGoogle Scholar
Frank, RH, Gilovich, T, & Regan, DT (1993). Does studying economics inhibit cooperation?. Journal of Economic Perspectives, 7(2), 159–171. 10.1257/jep.7.2.159CrossRefGoogle Scholar
Frederick, S, Loewenstein, G, & O’donoghue, T (2002). Time discounting and time preference: A critical review. Journal of Economic Literature, 40(2), 351–401. 10.1257/jel.40.2.351CrossRefGoogle Scholar
Fujii, T, & Karp, L (2008). Numerical analysis of non-constant pure rate of time preference: A model of climate policy. Journal of Environmental Economics and Management, 56(1), 83–101. 10.1016/j.jeem.2007.11.004CrossRefGoogle Scholar
Furukawa, C. (2021). Publication Bias under Aggregation Frictions: From Communication Model to New Correction Method. Working paper, MIT.Google Scholar
George, E. I. (2010). Dilution priors: Compensating for model space redundancy. In IMS Collections Borrowing Strength: Theory Powering Applications - A Festschrift for Lawrence D. Brown, volume 6, pp. 158–165. Institute of Mathematical Statistics.CrossRefGoogle Scholar
Gerber, A, & Malhotra, N (2008). Do statistical reporting standards affect what is published? Publication bias in two leading political science journals. Quarterly Journal of Political Science, 3(3), 313–326. 10.1561/100.00008024CrossRefGoogle Scholar
Geyer-Klingeberg, J, Hang, M, & Rathgeber, AW (2019). What drives financial hedging? A meta-regression analysis of corporate hedging determinants. International Review of Financial Analysis, 61, 203–221. 10.1016/j.irfa.2018.11.006CrossRefGoogle Scholar
Goulder, LH, & Stavins, RN (2002). Discounting: An eye on the future. Nature, 419(6908), 673–674. 10.1038/419673aCrossRefGoogle ScholarPubMed
Hansen, B (2007). Least squares model averaging. Econometrica, 75(4), 1175–1189. 10.1111/j.1468-0262.2007.00785.xCrossRefGoogle Scholar
Hardisty, DJ, Thompson, KF, Krantz, DH, & Weber, EU (2013). How to measure time preferences: An experimental comparison of three methods. Judgment and Decision Making, 8(3), 236–249. 10.1017/S1930297500005957CrossRefGoogle Scholar
Harris, C (2012). Feelings of dread and intertemporal choice. Journal of Behavioral Decision Making, 25(1), 13–28. 10.1002/bdm.709CrossRefGoogle Scholar
Harrison, Igel Lau, G. W. M., Rutstrom, E. E., & Sullivan, M. B. (2005). Eliciting risk and time preferences using field experiments: Some methodological issues. In Field experiments in economics (Research in Experimental Economics, Vol. 10), pp. 125–218. Emerald Group Publishing Limited, Bingley: UK.Google Scholar
Harrison, GW, Lau, MI, & Rutstrom, EE (2010). Individual discount rates and smoking: Evidence from a field experiment in Denmark. Journal of Health Economics, 29(5), 708–717. 10.1016/j.jhealeco.2010.06.006CrossRefGoogle ScholarPubMed
Harrison, GW, Lau, MI, & Williams, MB (2002). Estimating individual discount rates in Denmark: A field experiment. American Economic Review, 92(5), 1606–1617. 10.1257/000282802762024674CrossRefGoogle Scholar
Hausman, J (1979). Individual discount rates and the purchase and utilization of energy-using durables. Bell Journal of Economics, 10(1), 33–54. 10.2307/3003318CrossRefGoogle Scholar
Havranek, T (2010). Rose effect and the euro: Is the magic gone?. Review of World Economics, 146(2), 241–261. 10.1007/s10290-010-0050-1CrossRefGoogle Scholar
Havranek, T (2015). Measuring intertemporal substitution: The importance of method choices and selective reporting. Journal of the European Economic Association, 13(6), 1180–1204. 10.1111/jeea.12133CrossRefGoogle Scholar
Havranek, T, Herman, D, & Irsova, Z (2018). Does daylight saving save electricity?. A Meta-Analysis. The Energy Journal, 39(2), 35–61.Google Scholar
Havranek, T, Horvath, R, Irsova, Z, & Rusnak, M (2015). Cross-country heterogeneity in intertemporal substitution. Journal of International Economics, 96(1), 100–118. 10.1016/j.jinteco.2015.01.012CrossRefGoogle Scholar
Havranek, T, & Irsova, Z (2010). Meta-analysis of intra-industry FDI spillovers: Updated evidence. Czech Journal of Economics and Finance, 60(2), 151–174.Google Scholar
Havranek, T, & Irsova, Z (2017). Do borders really slash trade?. A Meta-Analysis. IMF Economic Review, 65(2), 365–396. 10.1057/s41308-016-0001-5CrossRefGoogle Scholar
Havranek, T, Irsova, Z, Janda, K, & Zilberman, D (2015). Selective reporting and the social cost of carbon. Energy Economics, 51, 394–406. 10.1016/j.eneco.2015.08.009CrossRefGoogle Scholar
Havranek, T, Irsova, Z, & Vlach, T (2018). Measuring the income elasticity of water demand: The importance of publication and endogeneity biases. Land Economics, 94(2), 259–283. 10.3368/le.94.2.259CrossRefGoogle Scholar
Havranek, T, Irsova, Z, & Zeynalova, O (2018). Tuition fees and university enrolment: A meta-regression analysis. Oxford Bulletin of Economics and Statistics, 80(6), 1145–1184. 10.1111/obes.12240CrossRefGoogle Scholar
Havranek, T, & Kokes, O (2015). Income elasticity of gasoline demand: A meta-analysis. Energy Economics, 47, 77–86. 10.1016/j.eneco.2014.11.004CrossRefGoogle Scholar
Havranek, T, Rusnak, M, & Sokolova, A (2017). Habit formation in consumption: A meta-analysis. European Economic Review, 95, 142–167. 10.1016/j.euroecorev.2017.03.009CrossRefGoogle Scholar
Havranek, T, Stanley, TD, Doucouliagos, H, Bom, P, Geyer-Klingeberg, J, Iwasaki, I et al., (2020). Reporting guidelines for meta-analysis in economics. Journal of Economic Surveys, 34(3), 469–475. 10.1111/joes.12363CrossRefGoogle Scholar
Holt, CA, & Laury, SK (2002). Risk aversion and incentive effects. American Economic Review, 92(5), 1644–1655. 10.1257/000282802762024700CrossRefGoogle Scholar
Ifcher, J, & Zarghamee, H (2011). Happiness and time preference: The effect of positive affect in a random-assignment experiment. American Economic Review, 101(7), 3109–3129. 10.1257/aer.101.7.3109CrossRefGoogle Scholar
Imai, T., Rutter, T. A., & Camerer, C. F. (2021a). Meta-Analysis of Present-Bias Estimation using Convex Time Budgets. Economic Journal. (forthcoming).CrossRefGoogle Scholar
Imai, T, Zemlianova, K, Kotecha, N, & Camerer, CF (2021). How common are false positives in laboratory economics experiments?, LMU Munich: Evidence from the P-Curve Method. mimeo.Google Scholar
Ioannidis, JP, Stanley, TD, & Doucouliagos, H (2017). The power of bias in economics research. Economic Journal, 127(605), F236–F265. 10.1111/ecoj.12461CrossRefGoogle Scholar
Irsova, Z, & Havranek, T (2010). Measuring bank efficiency: A meta-regression analysis. Prague Economic Papers, 2010(4), 307–328. 10.18267/j.pep.379CrossRefGoogle Scholar
Irsova, Z, & Havranek, T (2013). Determinants of horizontal spillovers from FDI: Evidence from a large meta-analysis. World Development, 42, 1–15. 10.1016/j.worlddev.2012.07.001CrossRefGoogle Scholar
Johnson, MW, & Bickel, WK (2002). Within-subject comparison of real and hypothetical money rewards in delay discounting. Journal of the Experimental Analysis of Behavior, 77(2), 129–146. 10.1901/jeab.2002.77-129CrossRefGoogle ScholarPubMed
Kass, RE, & Raftery, AE (1995). Bayes factors. Journal of the American Statistical Association, 90(430), 773–795. 10.1080/01621459.1995.10476572CrossRefGoogle Scholar
Kirby, K, Petry, N, & Bickel, W (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology: General, 128(1), 78–87. 10.1037/0096-3445.128.1.78CrossRefGoogle ScholarPubMed
Kirby, KN, & Marakovic, NN (1995). Modeling myopic decisions: Evidence for hyperbolic delay-discounting within subjects and amounts. Organizational Behavior and Human Decision Processes, 64(1), 22–30. 10.1006/obhd.1995.1086CrossRefGoogle Scholar
Kirby, KN, & Marakovic, NN (1996). Delay-discounting probabilistic rewards: Rates decrease as amounts increase. Psychonomic Bulletin and Review, 3(1), 100–104. 10.3758/BF03210748CrossRefGoogle ScholarPubMed
Kovacs, KF, & Larson, DM (2008). Identifying individual discount rates and valuing public open space with stated-preference models. Land Economics, 84(2), 209–224. 10.3368/le.84.2.209CrossRefGoogle Scholar
Kuhn, MA, Kuhn, P, & Villeval, MC (2017). Decision-environment effects on intertemporal financial choices: How relevant are resource-depletion models?. Journal of Economic Behavior & Organization, 137, 72–89. 10.1016/j.jebo.2017.02.014CrossRefGoogle Scholar
Kuhnberger, A, Schulte-Mecklenbeck, M, & Perner, J (2002). Framing decisions: Hypothetical and real. Organizational Behavior and Human Decision Processes, 89(2), 1162–1175. 10.1016/S0749-5978(02)00021-3CrossRefGoogle Scholar
Laibson, D (1997). Golden eggs and hyperbolic discounting. The Quarterly Journal of Economics, 112(2), 443–478. 10.1162/003355397555253CrossRefGoogle Scholar
Laury, SK, McInnes, MM, & Swarthout, JT (2012). Avoiding the curves: Direct elicitation of time preferences. Journal of Risk and Uncertainty, 44(3), 181–217. 10.1007/s11166-012-9144-6CrossRefGoogle Scholar
Lawrance, EC (1991). Poverty and the rate of time preference: Evidence from panel data. Journal of Political Economy, 99(1), 54–77. 10.1086/261740CrossRefGoogle Scholar
Ley, E, & Steel, MF (2009). On the effect of prior assumptions in Bayesian model averaging with applications to growth regression. Journal of Applied Econometrics, 24(4), 651–674. 10.1002/jae.1057CrossRefGoogle Scholar
Locey, ML, Jones, BA, & Rachlin, H (2011). Real and hypothetical rewards. Judgment and Decision Making, 6(6), 552–564. 10.1017/S1930297500002515CrossRefGoogle ScholarPubMed
Loewenstein, G (1987). Anticipation and the valuation of delayed consumption. The Economic Journal, 97(387), 666–684. 10.2307/2232929CrossRefGoogle Scholar
Loewenstein, G, Read, D, & Baumeister, RF (2003). Time and decision: Economic and psychological perspectives on intertemporal choice, New York, NY: Russell Sage Foundation.Google Scholar
Madigan, D, York, J, & Allard, D (1995). Bayesian graphical models for discrete data. International Statistical Review, 63(2), 215–232. 10.2307/1403615CrossRefGoogle Scholar
Malesza, M (2019). The effects of potentially real and hypothetical rewards on effort discounting in a student sample. Personality and Individual Differences, 151, 108807 10.1016/j.paid.2018.03.030CrossRefGoogle Scholar
Marwell, G, & Ames, RE (1981). Economists free ride, does anyone else? Experiments on the provision of public goods. Journal of Public Economics, 15(3), 295–310. 10.1016/0047-2727(81)90013-XCrossRefGoogle Scholar
Mazur, JE (1984). Tests of an equivalence rule for fixed and variable reinforcer delays. Journal of Experimental Psychology: Animal Behavior Processes, 10(4), 426–436.Google Scholar
McCloskey, DN, & Ziliak, ST (2019). What quantitative methods should we teach to graduate students? A comment on Swann’s is precise econometrics an illusion?. Journal of Economic Education, 50(4), 356–361. 10.1080/00220485.2019.1654957CrossRefGoogle Scholar
McClure, SM, Ericson, KM, Laibson, DI, Loewenstein, G, & Cohen, JD (2007). Time discounting for primary rewards. Journal of Neuroscience, 27(21), 5796–5804. 10.1523/JNEUROSCI.4246-06.2007CrossRefGoogle ScholarPubMed
Meier, S, & Sprenger, CD (2010). Present-biased preferences and credit card borrowing. American Economic Journal: Applied Economics, 2(1), 193–210.Google Scholar
Meier, S, & Sprenger, CD (2013). Discounting financial literacy: Time preferences and participation in financial education programs. Journal of Economic Behavior & Organization, 95, 159–174. 10.1016/j.jebo.2012.02.024CrossRefGoogle Scholar
Meier, S, & Sprenger, CD (2015). Temporal stability of time preferences. The Review of Economics and Statistics, 97(2), 273–286. 10.1162/REST_a_00433CrossRefGoogle Scholar
Meyer, AG (2015). The impacts of elicitation mechanism and reward size on estimated rates of time preference. Journal of Behavioral and Experimental Economics, 58, 132–148. 10.1016/j.socec.2015.08.002CrossRefGoogle Scholar
Nelson, J, & Moran, J (2020). Effects of alcohol taxation on prices: A systematic review and meta-analysis of pass-through rates. The B.E. Journal of Economic Analysis & Policy, 20(1), 1–21.Google Scholar
Newell, RG, & Siikamaki, J (2015). Individual time preferences and energy efficiency. American Economic Review, 105(5), 196–200. 10.1257/aer.p20151010CrossRefGoogle Scholar
Nobel, A, Lizin, S, Brouwer, R, Bruns, SB, Stern, DI, & Malina, R (2020). Are biodiversity losses valued differently when they are caused by human activities? A meta-analysis of the non-use valuation literature. Environmental Research Letters, 15(7), 1–23. 10.1088/1748-9326/ab8ec2CrossRefGoogle Scholar
Olivola, CY, & Wang, SW (2016). Patience auctions: The impact of time vs money bidding on elicited discount rates. Experimental Economics, 19(4), 864–885. 10.1007/s10683-015-9472-xCrossRefGoogle Scholar
Percoco, M, & Nijkamp, P (2009). Estimating individual rates of discount: A meta-analysis. Applied Economics Letters, 16(12), 1235–1239. 10.1080/13504850701367189CrossRefGoogle Scholar
Phelps, ES, & Pollak, RA (1968). On second-best national saving and game-equilibrium growth. The Review of Economic Studies, 35(2), 185–199. 10.2307/2296547CrossRefGoogle Scholar
Raftery, AE, Madigan, D, & Hoeting, JA (1997). Bayesian model averaging for linear regression models. Journal of the American Statistical Association, 92(437), 179–191. 10.1080/01621459.1997.10473615CrossRefGoogle Scholar
Read, D, & Read, NL (2004). Time discounting over the lifespan. Organizational Behavior and Human Decision Processes, 94(1), 22–32. 10.1016/j.obhdp.2004.01.002CrossRefGoogle Scholar
Rusnak, M, Havranek, T, & Horvath, R (2013). How to solve the price puzzle? A meta-analysis. Journal of Money, Credit and Banking, 45(1), 37–70. 10.1111/j.1538-4616.2012.00561.xCrossRefGoogle Scholar
Samuelson, P (1937). Note on measurement of utility. Review of Economic Studies, 4(2), 155–161. 10.2307/2967612CrossRefGoogle Scholar
Stanley, TD (2005). Beyond publication bias. Journal of Economic Surveys, 19(3), 309–345. 10.1111/j.0950-0804.2005.00250.xCrossRefGoogle Scholar
Stanley, TD (2008). Meta-regression methods for detecting and estimating empirical effects in the presence of publication selection. Oxford Bulletin of Economics and Statistics, 70(1), 103–127.CrossRefGoogle Scholar
Stanley, TD, & Doucouliagos, H (2010). Picture this: A simple Graph that Reveals Much Ado about research. Journal of Economic Surveys, 24(1), 170–191. 10.1111/j.1467-6419.2009.00593.xCrossRefGoogle Scholar
Stanley, TD, & Doucouliagos, H (2014). Meta-regression approximations to reduce publication selection bias. Research Synthesis Methods, 5(1), 60–78. 10.1002/jrsm.1095CrossRefGoogle ScholarPubMed
Stanley, TD, Jarrell, SB, & Doucouliagos, H (2010). Could it be better to discard 90% of the data?. A Statistical Paradox. The American Statistician, 64(1), 70–77. 10.1198/tast.2009.08205CrossRefGoogle Scholar
Sutter, M, Kocher, MG, Glatzle-Rutzler, D, & Trautmann, ST (2013). Impatience and uncertainty: Experimental decisions predict adolescents’ field behavior. American Economic Review, 103(1), 510–531. 10.1257/aer.103.1.510CrossRefGoogle Scholar
Takeuchi, K (2011). Non-parametric test of time consistency: Present bias and future bias. Games and Economic Behavior, 71(2), 456–478. 10.1016/j.geb.2010.05.005CrossRefGoogle Scholar
Tanaka, T, Camerer, CF, & Nguyen, Q (2010). Risk and time preferences: Linking experimental and household survey data from Vietnam. American Economic Review, 100(1), 557–571. 10.1257/aer.100.1.557CrossRefGoogle Scholar
Thaler, R (1981). Some empirical evidence on dynamic inconsistency. Economics Letters, 8(3), 201–207. 10.1016/0165-1765(81)90067-7CrossRefGoogle Scholar
Tokunaga, M, & Iwasaki, I (2017). The determinants of foreign direct investment in transition economies: A meta-analysis. The World Economy, 40(12), 2771–2831. 10.1111/twec.12477CrossRefGoogle Scholar
Tol, RSJ (1999). Time discounting and optimal emission reduction: An application of FUND. Climatic Change, 41(3–4), 351–362. 10.1023/A:1005444916150CrossRefGoogle Scholar
Tsukayama, E, & Duckworth, AL (2010). Domain-specific temporal discounting and temptation. Judgment and Decision Making, 5(2), 72–82. 10.1017/S1930297500000930CrossRefGoogle Scholar
Tversky, A, & Kahneman, D (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458. 10.1126/science.7455683CrossRefGoogle ScholarPubMed
Ubfal, D (2016). How general are time preferences? Eliciting good-specific discount rates. Journal of Development Economics, 118, 150–170. 10.1016/j.jdeveco.2015.07.007CrossRefGoogle Scholar
Ugur, M, Churchill, SA, & Luong, HM (2020). What do we know about R&D spillovers and productivity? Meta-analysis evidence on heterogeneity and statistical power. Research Policy, 49(1), 103866 10.1016/j.respol.2019.103866CrossRefGoogle Scholar
Ugur, M, Churchill, SA, & Solomon, E (2018). Technological innovation and employment in derived labour demand models: A hierarchical meta-regression analysis. Journal of Economic Surveys, 32(1), 50–82. 10.1111/joes.12187CrossRefGoogle Scholar
Valickova, P, Havranek, T, & Horvath, R (2015). Financial development and economic growth: A meta-analysis. Journal of Economic Surveys, 29(3), 506–526. 10.1111/joes.12068CrossRefGoogle Scholar
van Aert, R. C. & van Assen, M. (2021). Correcting for publication bias in a meta-analysis with the p-uniform* method. Working paper, Tilburg University & Utrecht University.Google Scholar
Voors, MJ, Nillesen, EEM, Verwimp, P, Bulte, EH, Lensink, R, & Soest, DPV (2012). Violent conflict and behavior: A field experiment in Burundi. American Economic Review, 102(2), 941–964. 10.1257/aer.102.2.941CrossRefGoogle Scholar
Wang, M, Rieger, MO, & Hens, T (2016). How time preferences differ: Evidence from 53 countries. Journal of Economic Psychology, 52, 115–135. 10.1016/j.joep.2015.12.001CrossRefGoogle Scholar
Warner, JT, & Pleeter, S (2001). The personal discount rate: Evidence from military downsizing programs. American Economic Review, 91(1), 33–53. 10.1257/aer.91.1.33CrossRefGoogle Scholar
Bank, World (2020). Median Monthly Per Capita Expenditure (Or Income). World Bank’s global database of household surveys (PovcalNet) March 2020 Update, Global Poverty Monitoring, Washington, DC: World Bank.Google Scholar
Xue, X, Reed, WR, & Menclova, A (2020). Social capital and health: A meta-analysis. Journal of Health Economics, 72, 102317 10.1016/j.jhealeco.2020.102317CrossRefGoogle ScholarPubMed
Zauberman, G, Kim, BK, Malkoc, SA, & Bettman, JR (2009). Discounting time and time discounting: Subjective time perception and intertemporal preferences. Journal of Marketing Research, 46(4), 543–556. 10.1509/jmkr.46.4.543CrossRefGoogle Scholar
Zeugner, S, & Feldkircher, M (2015). Bayesian model averaging employing fixed and flexible priors: The BMS package for R. Journal of Statistical Software, 68(4), 1–37. 10.18637/jss.v068.i04CrossRefGoogle Scholar
Zigraiova, D, & Havranek, T (2016). Bank competition and financial stability: Much ado about nothing?. Journal of Economic Surveys, 30(5), 944–981. 10.1111/joes.12131CrossRefGoogle Scholar
Zigraiova, D, Havranek, T, Irsova, Z, & Novak, J (2021). How puzzling is the forward premium puzzle? A meta-analysis. European Economic Review, 134, 103714 10.1016/j.euroecorev.2021.103714CrossRefGoogle Scholar
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