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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.
(This abstract was borrowed from another version of this item.)

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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    File URL: http://www.laboratoriorevelli.it/_pdf/wp88.pdf
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    JEL classification:

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

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