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An Experimental Analysis of Intertemporal Allocation Behavior

Published online by Cambridge University Press:  14 March 2025

Vital Anderhub ,
Wieland Müller ,
Werner Güth  and
Martin Strobel
Vital Anderhub
Affiliation:
Humboldt University at Berlin, Department of Economics, Institute for Economic Theory III, Spandauer Strasse 1, 10178 Berlin, Germany
Wieland Müller
Affiliation:
Humboldt University at Berlin, Department of Economics, Institute for Economic Theory III, Spandauer Strasse 1, 10178 Berlin, Germany
Werner Güth
Affiliation:
Humboldt University at Berlin, Department of Economics, Institute for Economic Theory III, Spandauer Strasse 1, 10178 Berlin, Germany
Martin Strobel
Affiliation:
Humboldt University at Berlin, Department of Economics, Institute for Economic Theory III, Spandauer Strasse 1, 10178 Berlin, Germany
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Abstract

If the future is uncertain, optimal intertemporal decisions rely on anticipating one's own optimal future behavior as is typical in dynamic programming. Our aim is to detect experimentally stylized facts about intertemporal decision making in a rich stochastic environment. Compared to previous experimental studies our experimental design is more complex since the time horizon is uncertain and termination probabilities have to be updated. In particular the decision task is non-stationary as in real life which seriously complicates the task of diagnosing behavioral regularities. In this study we give some illustrative results and provide some general perspectives. Our main result is that subjects’ reaction to information about termination probablilities are qualitatively correct.

Keywords

intertemporal allocation behavior

JEL classification

C91: Laboratory, Individual Behavior D90: General‡ D81: Criteria for Decision-Making under Risk and Uncertainty
Type
Research Article
Information
Experimental Economics , Volume 3 , Issue 2 , October 2000 , pp. 137 - 152
Copyright
Copyright © 2000 Economic Science Association

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References

Anderhub, V. (1998). “Savings Decisions When Uncertainty is Reduced—An Experimental Study.” Discussion paper No. 73, Sonderforschungsbereich 373, Humboldt University Berlin.Google Scholar
Anderhub, V. and Güth, W. (1999). “On Intertemporal Allocation Behavior—A Selective Survey of Saving Experiments.” Ifo Studien. 45, 303–333.Google Scholar
Anderhub, V., Güth, W., and Knust, F. (2000). “On Saving and Investing—An Experimental Study of Intertemporal Decision Making in a Complex Stochastic Environment.” Discussion paper No. 2, Sonderforschungsbereich 373, Humboldt University Berlin.Google Scholar
Anderhub, V., Müller, R., and Schmidt, C. (in press). “Design and Evaluation of an Economic Experiment via the Internet.” Journal of Economic Behavior and Organization. forthcoming.Google Scholar
Brandstatter, H. (1988). “Sechzehn Persönlichkeits-Adjektivskalen (16 PA) als Forschungsinstrument anstelle des 16 PF.” Zeitschrift für experimentelle und angewandte Psychologie. XXXV, Heft 3, 370–391.Google Scholar
Brandstatter, H. and Güth, W. (1998). “A Psychological Approach to Individual Differences in Intertemporal Consumption Patterns.” Discussion Paper, Humboldt University Berlin.Google Scholar
Fehr, E. and Zych, P (1995). “Die Macht der Versuchung: Irrationaler Uberkonsum in einem Suchtexperiment.” Zeitschrift für Wirtschafts—und Sozialwissenschaften 114, Heft 4, 569–604.Google Scholar
Gigliotti, G. and Sopher, B. (1997). “Violations of Present-Value Maximization in Income Choice.” Theory and Decision. 43, 45–69.CrossRefGoogle Scholar
Güth, W., van Damme, E., and Weber, M. (1993). “The Normative and Behavioral Concept of Risk Aversion—An Experimental Study.” Working Paper, Tilburg University.Google Scholar
Hall, R.E. (1978). “Stochastic Implications of the Life Cycle—Permanent Income Hypothesis: Theory and Evidence.” Journal of Political Economy. 86, 971–987.CrossRefGoogle Scholar
Harrison, G.W. (1994). “Expected Utility Theory and the Experimentalists.” Empirical Economics. 19, 223–253.CrossRefGoogle Scholar
Hey, J.D. (1982). “Search for Rules of Search.” Journal of Economic Behavior and Organization. 3, 65–81.CrossRefGoogle Scholar
Johnson, S., Kotlikoff, L., and Samuelson, W. (1987). “Can People Compute? An Experimental Test of the Life Cycle Consumption Model.” Working Paper, Harvard University.CrossRefGoogle Scholar
Loewenstein, G.F. (1988). “Frames of Mind in Intertemporal Choice.” Management Science. 34, 200–214.CrossRefGoogle Scholar
Loewenstein, G.F. and Thaler, R.H. (1989). “Anomalies: Intertemporal Choice.” Journal of Economic Perspectives. 3, 181–193.CrossRefGoogle Scholar
Müller, W. (in press). “Strategies, Heuristics and the Relevance of Risk Aversion in a Dynamic Decision Problem.”. Journal of Economic Psychology. forthcoming.Google Scholar
Roth, A. and Malouf, M. (1979). “Game Theoretic Models and the Role of Information in Bargaining: An Experimental Study.” Pschological Review. 86, 474–94.Google Scholar
Selten, R. and Buchta, J. (1999). “Experimental Sealed Bid First Price Auction with Directly Observed Bid Functions.” In Budescu, D., Erev, I., and Zwick, R. (eds.), Games and Human Behavior: Essays in the Honor of Amnon Rapoport. Mahwah, NJ: Lawrenz Associates.Google Scholar
Selten, R., Sadrieh, A., and Abbink, K. (1999). “Money Does not Induce Risk Neutral Behavior, But Binary Lotteries Do Even Worse.” Theory and Decision. 46, 211–249.CrossRefGoogle Scholar
Thaler, R.H. (1981). “Some Empirical Evidence on Dynamic Inconsistency.” Economic Letters. 8, 201–207.CrossRefGoogle Scholar
Warneryd, K.-E. (1999). The Psychology of Saving. Edward Elgar Publishing.Google Scholar