Hostname: page-component-7b9c58cd5d-nzzs5 Total loading time: 0 Render date: 2025-03-15T15:57:57.027Z Has data issue: false hasContentIssue false

Measuring strategic-uncertainty attitudes

Published online by Cambridge University Press:  14 March 2025

Lisa Bruttel*
Affiliation:
Department of Economics and Social Sciences, Chair for Markets, Competition, and Institutions, Universität Potsdam, August-Bebel-Str. 89, 14482 Potsdam, Germany
Muhammed Bulutay*
Affiliation:
Technische Universität Berlin, Chair of Macroeconomics, H 52 - Straße des 17. Juni 135, 10623 Berlin, Germany
Camille Cornand*
Affiliation:
Univ Lyon, CNRS, GATE UMR 5824, F-69130 Ecully, France
Frank Heinemann*
Affiliation:
Technische Universität Berlin, Chair of Macroeconomics, H 52 - Straße des 17. Juni 135, 10623 Berlin, Germany
Adam Zylbersztejn*
Affiliation:
Univ Lyon, Université Lumière Lyon 2, GATE UMR 5824, F-69130 Ecully, France Vistula University Warsaw (AFiBV), Warsaw, Poland

Abstract

Strategic uncertainty is the uncertainty that players face with respect to the purposeful behavior of other players in an interactive decision situation. Our paper develops a new method for measuring strategic-uncertainty attitudes and distinguishing them from risk and ambiguity attitudes. We vary the source of uncertainty (whether strategic or not) across conditions in a ceteris paribus manner. We elicit certainty equivalents of participating in two strategic 2 × 2 games (a stag-hunt and a market-entry game) as well as certainty equivalents of related lotteries that yield the same possible payoffs with exogenously given probabilities (risk) and lotteries with unknown probabilities (ambiguity). We provide a structural model of uncertainty attitudes that allows us to measure a preference for or an aversion against the source of uncertainty, as well as optimism or pessimism regarding the desired outcome. We document systematic attitudes towards strategic uncertainty that vary across contexts. Under strategic complementarity [substitutability], the majority of participants tend to be pessimistic [optimistic] regarding the desired outcome. However, preferences for the source of uncertainty are distributed around zero.

Type
Original Paper
Copyright
Copyright © The Author(s), under exclusive licence to Economic Science Association 2022.

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Supplementary Information The online version contains supplementary material available at https://doi.org/10.1007/s10683-022-09779-2.

References

Abdellaoui, M., L’Haridon, O., & Paraschiv, C. (2011). Experienced vs. described uncertainty: Do we need two prospect theory specifications?. Management Science, 57(10), 18791895. 10.1287/mnsc.1110.1368CrossRefGoogle Scholar
Abdellaoui, M., Baillon, A., Placido, L., & Wakker, P. P. (2011). The rich domain of uncertainty: Source functions and their experimental implementation. American Economic Review, 101(2), 695723. 10.1257/aer.101.2.695CrossRefGoogle Scholar
Attema, A. E., Brouwer, W. B., & L’Haridon, O. (2013). Prospect theory in the health domain: A quantitative assessment. Journal of Health Economics, 32(6), 10571065. 10.1016/j.jhealeco.2013.08.006CrossRefGoogle ScholarPubMed
Baillon, A., Liu, N., & van Dolder, D. (2017). Comparing uncertainty aversion towards different sources. Theory and Decision, 83, 118. 10.1007/s11238-016-9584-6CrossRefGoogle Scholar
Beard, T. R., & Beil, R. O. Jr (1994). Do people rely on the self-interested maximization of others? An experimental test. Management Science, 40, 252262. 10.1287/mnsc.40.2.252CrossRefGoogle Scholar
Becker, G. M., DeGroot, M. H., & Marschak, J. (1964). Measuring utility by a single-response sequential method. Behavioral Science, 9(3), 226232. 10.1002/bs.3830090304CrossRefGoogle ScholarPubMed
Bohnet, I., & Zeckhauser, R. (2004). Trust, risk and betrayal. Journal of Economic Behavior and Organization, 55, 467484. 10.1016/j.jebo.2003.11.004CrossRefGoogle Scholar
Brandenburger, A. Zeckhauser, R., Keene, R., & Sibenius, J. (1996). Strategic and structural uncertainty in games. Wise Choices: Games, Decisions, and Negotiations, Harvard Business School Press 221232.Google Scholar
Brandts, J., Cooper, D. J., & Weber, R. A. (2015). Legitimacy, communication and leadership in the turnaround game. Management Science, 61(11), 26272645. 10.1287/mnsc.2014.2021CrossRefGoogle Scholar
Calford, E. (2020). Uncertainty aversion in game theory: Experimental evidence. Journal of Economic Behavior and Organization, 176, 720734. 10.1016/j.jebo.2020.06.011CrossRefGoogle Scholar
Camerer, C. F., Ho, T. H., & Chong, J. K. (2004). Cognitive hierarchy model of thinking in games. Quarterly Journal of Economics, 119, 861898. 10.1162/0033553041502225CrossRefGoogle Scholar
Camerer, C. F., Karjalainen, R. Munier, B., & Machina, M. J. (1994). Ambiguity aversion and non-additive beliefs in non-cooperative games: Experimental evidence. Models and Experiments in Risk and Rationality, Netherlands: Springer.Google Scholar
Camerer, C. F., & Weber, M. (1992). Recent developments in modeling preferences: Uncertainty and ambiguity. Journal of Risk and Uncertainty, 5(4), 325370. 10.1007/BF00122575CrossRefGoogle Scholar
Chark, R., & Chew, S. H. (2015). A neuroimaging study of preference for strategic uncertainty. Journal of Risk and Uncertainty, 50, 209227. 10.1007/s11166-015-9220-9CrossRefGoogle Scholar
Charness, G., Garcia, T., Offerman, T., & Villeval, M. C. (2020). Do measures of risk attitude in the laboratory predict behavior under risk in and outside of the laboratory?. Journal of Risk and Uncertainty, 60(2), 99123. 10.1007/s11166-020-09325-6CrossRefGoogle Scholar
Chateauneuf, A., Eichberger, J., & Grant, S. (2007). Choice under uncertainty with the best and worst in mind: Neo-additive capacities. Journal of Economic Theory, 137(1), 538567. 10.1016/j.jet.2007.01.017CrossRefGoogle Scholar
Chierchia, G., Nagel, R., & Coricelli, G. (2018). Betting "on nature" or "betting on others": Anti-coordination induces uniquely high levels of entropy. Scientific Reports, 8(1), 111. 10.1038/s41598-018-21962-1CrossRefGoogle ScholarPubMed
Cooper, R., & John, A. (1988). Coordinating coordination failures in Keynesian models. Quarterly Journal of Economics, 103(3), 441463. 10.2307/1885539CrossRefGoogle Scholar
Danz, D., Vesterlund, L., & Wilson, A. J. (2020). Belief elicitation: Limiting truth telling with information on incentives. CESifo Working Paper 8048.CrossRefGoogle Scholar
Farjam, M. (2019). On whom would I want to depend; humans or computers?. Journal of Economic Psychology, 72, 219228. 10.1016/j.joep.2019.04.002CrossRefGoogle Scholar
Fischbacher, U. (2007). z-Tree: Zurich toolbox for ready-made economic experiments. Experimental Economics, 10(2), 171178. 10.1007/s10683-006-9159-4CrossRefGoogle Scholar
Gilboa, I., & Schmeidler, D. (1989). Maxmin expected utility with a non-unique prior. Journal of Mathematical Economics, 18, 141153. 10.1016/0304-4068(89)90018-9CrossRefGoogle Scholar
Greiner, B. (2016). Strategic uncertainty aversion in bargaining: Experimental evidence. Mimeo.Google Scholar
Greiner, B. (2015). Subject pool recruitment procedures: Organizing experiments with ORSEE. Journal of the Economic Science Association, 1(1), 114125. 10.1007/s40881-015-0004-4CrossRefGoogle Scholar
Heinemann, F. (2012). Understanding financial crises: The contribution of experimental economics. Annales D’economie Et De Statistique, 107–108, 729.Google Scholar
Heinemann, F., Nagel, R., & Ockenfels, P. (2009). Measuring strategic uncertainty in coordination games. Review of Economic Studies, 76, 181221. 10.1111/j.1467-937X.2008.00512.xCrossRefGoogle Scholar
Hey, J. D., Morone, A., & Schmidt, U. (2009). Noise and bias in eliciting preferences. Journal of Risk and Uncertainty, 39, 213235. 10.1007/s11166-009-9081-1CrossRefGoogle Scholar
Hossain, T., & Okui, R. (2013). The binarized scoring rule. Review of Economic Studies, 80, 9841001. 10.1093/restud/rdt006CrossRefGoogle Scholar
Ivanov, A. (2011). Attitudes to ambiguity in one-shot normal-form games: An experimental study. Games and Economic Behavior, 71, 366394. 10.1016/j.geb.2010.05.009CrossRefGoogle Scholar
Kelsey, D., & le Roux, S. (2015). An experimental study on the effect of ambiguity in a coordination game. Theory and Decision, 79, 667688. 10.1007/s11238-015-9483-2CrossRefGoogle Scholar
Li, C., Turmunkh, U., & Wakker, P. P. (2020). Social and strategic ambiguity versus betrayal aversion. Games and Economic Behavior, 123, 272287. 10.1016/j.geb.2020.07.007CrossRefGoogle Scholar
Morris, S., Shin, H. S. Dewatripont, M., Hansen, L., & Turnovsky, S. (2003). Global games theory and applications. Advances in Economics and Econometrics (Proceedings of the Eighth World Congress of the Econometric Society), Cambridge University Press 56114.Google Scholar
Nagel, R. (1995). Unraveling in guessing games: An experimental study". American Economic Review, 85, 13131326.Google Scholar
Nagel, R., Brovelli, A., Heinemann, F., & Coricelli, G. (2018). Neural mechanisms mediating degrees of strategic uncertainty. Social Cognitive and Affective Neuroscience, 13, 5262. 10.1093/scan/nsx131CrossRefGoogle ScholarPubMed
Offerman, T., Sonnemans, J., Van De Kuilen, G., & Wakker, P. P. (2009). A truth serum for non-bayesians: Correcting proper scoring rules for risk attitudes. Review of Economic Studies, 76, 14611489. 10.1111/j.1467-937X.2009.00557.xCrossRefGoogle Scholar
Schotter, A., & Trevino, I. (2014). Belief elicitation in the laboratory. Annual Review of Economics, 6, 103128. 10.1146/annurev-economics-080213-040927CrossRefGoogle Scholar
Supplementary material: File

Bruttel et al. supplementary material

Online Appendix: Supplementary Material
Download Bruttel et al. supplementary material(File)
File 328.3 KB