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Forecasting errors: yet more problems for identification?

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  • Bruno Contini

Abstract

Forecasting errors pose a serious problem of identification, often neglected in empirical applications. Any attempt of estimating choice models under uncertainty may lead to severely biased results in the presence of forecasting errors even when individual expectations on future events are observed together with the standard outcome variables. The problem is illustrated by an empirical study on job changing behavior.
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Suggested Citation

  • Bruno Contini, 2008. "Forecasting errors: yet more problems for identification?," LABORatorio R. Revelli Working Papers Series 88, LABORatorio R. Revelli, Centre for Employment Studies.
    • Handle: RePEc:cca:wplabo:88
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    References listed on IDEAS

    as
    1. Manski, Charles F, 1999. "Analysis of Choice Expectations in Incomplete Scenarios," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 49-66, December.
    2. Luigi Guiso & Giuseppe Parigi, 1999. "Investment and Demand Uncertainty," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 185-227.
    3. Lusardi, Annamaria & Mitchell, Olivia S., 2007. "Baby Boomer retirement security: The roles of planning, financial literacy, and housing wealth," Journal of Monetary Economics, Elsevier, vol. 54(1), pages 205-224, January.
    4. Shlomo Benartzi & Richard Thaler, 2007. "Heuristics and Biases in Retirement Savings Behavior," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 81-104, Summer.
    5. Contini, Bruno & Morini, Matteo, 2007. "Testing Bounded Rationality against Full Rationality in Job Changing Behavior," IZA Discussion Papers 3148, Institute of Labor Economics (IZA).
    6. Christelis, Dimitris & Jappelli, Tullio & Padula, Mario, 2010. "Cognitive abilities and portfolio choice," European Economic Review, Elsevier, vol. 54(1), pages 18-38, January.
    7. Bruno Contini, 1966. "A Note on Arrow's Postulates for a Social Welfare Function," Journal of Political Economy, University of Chicago Press, vol. 74, pages 278-278.
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    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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