Skip to main content
Log in

Identifying bounded rationality with panel data: evidence from the labor markets of Italy and Germany

  • Published:
Mind & Society Aims and scope Submit manuscript

Abstract

In this paper we question the hypothesis of bounded rationality against full rationality in the context of job changing behavior, via simple econometric explorations on microdata drawn from Worker Histories Italian Panel (WHIP) and Sample of Integrated Labor Market Biographies (SIAB). The identification strategy builds on a quasi-counterfactual experiment in which the performance of each voluntary mover is compared to the average performance of a peer-group of stayers of the same skill group, co-workers in the firm from which the movers’ job switch originated. Voluntary movers are identifiable in the WHIP and SIAB datasets, while it is not possible to do the same among the stayers. Full rationality suggests that the performance of voluntary movers should be superior to the stayers’ (both voluntary and involuntary) as the involuntary stayers have a smaller decision set from which to choose. In this exploration we find a clear opposite result, which we take as evidence of bounded rationality of the movers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. “Major” reductions are assumed to be those in excess of 40% of the 1986 workforce.

  2. Some workers may have moved more than once in the observation period: the k-th employer is his last destination.

  3. Another plausible definition of y* could be in terms of individual earnings growth—say 10%—over each person’s past salary W, in alternative to the cell W-median.

References

  • Akerlof GA (1984) An economic theorist’s book of tales. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Akerlof GA (1991) Procrastination and obedience. Am Econ Rev 81(2):1–19

    Google Scholar 

  • Akerlof GA (2007) The missing motivation in macroeconomics. Am Econ Rev 97(1):5–36

    Article  Google Scholar 

  • Akerlof GA, Dickens WT (1982) The economic consequences of cognitive dissonance. Am Econ Rev 72(3):307–319

    Google Scholar 

  • Arrow KJ (1986) Rationality of self and others in an economic system. J Bus 59:385–399

    Article  Google Scholar 

  • Ashenfelter O, Genesove D (1992) Testing for price anomalies in real-estate auctions. Am Econ Rev 82(2):501–505

    Google Scholar 

  • Becker G, Rayo L (2007) Evolutionary efficiency and happiness. J Polit Econ 115(2):302–337

    Article  Google Scholar 

  • Benartzi S, Thaler RH (1995) Myopic loss aversion and the equity premium puzzle. Quart J Econ 110(1):73–92

    Article  Google Scholar 

  • Conlisk J (1996) Why bounded rationality? J Econ Lit 34(2):669–700

    Google Scholar 

  • Contini B, Morini M (2007) Testing bounded rationality against full rationality in job changing behavior. IZA WP p 3148

  • Della Vigna S, Malmender U (2006) Paying not to go to the gym. Am Econ Rev 96(3):694–719

    Article  Google Scholar 

  • Dohmen T (2014) The impact of behavioural economics on labour economics. Labour Econ 30:71–85

    Article  Google Scholar 

  • Fehr E, Goette L (2007) Do workers work more if wages are high? Evidence from a randomized field experiment. Am Econ Rev 97(1):298–317

    Article  Google Scholar 

  • Goldberger AS (1989) Economic and mechanical models of intergenerational transmission. Am Econ Rev 79(3):504–513

    Google Scholar 

  • Jappelli T, Guiso L, Padula M (2013) Pension wealth uncertainty. J Risk Insur 80(4):1057–1085

    Article  Google Scholar 

  • Kahnemann D, Tverski A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47(2):263–291

    Article  Google Scholar 

  • Kunreuther H et al (1978) Disaster insurance protection. Public policy lessons. Wiley, New York

    Google Scholar 

  • Madrian BC, Shea DF (2001) The power of suggestion: inertia in 401(k) participation and savings behavior. Quart J Econ 116(4):1149–1188

    Article  Google Scholar 

  • Roth A (1988) Laboratory experimentation in economics: a methodological overview. Econ J 98(393):974–1031

    Article  Google Scholar 

  • Shui H, Ausubel LM (2004) Consumer time inconsistency: evidence from a market experiment in the credit card market. Econometric Society North American Summer Meetings series (176)

  • Simon HA (1955) A behavioral model of rational choice. Quart J Econ 69(1):99–118

    Article  Google Scholar 

  • Simon HA (1986) Rationality in psychology and economics. J Bus 59:209–224

    Article  Google Scholar 

Download references

Acknowledgements

Bruno Contini is grateful to C. Flinn for a casual observation at lunch table that led me to readdress from scratch the identification strategy of this study. I also thank an unknown referee for useful comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bruno Contini.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Contini, B., Pusch, T. Identifying bounded rationality with panel data: evidence from the labor markets of Italy and Germany. Mind Soc 17, 71–84 (2018). https://doi.org/10.1007/s11299-019-00204-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11299-019-00204-5

Keywords

Navigation