Forecasting Errors: Yet More Problems for Identification?
AbstractForecasting 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.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 4035.
Length: 13 pages
Date of creation: Feb 2009
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Other versions of this item:
- Bruno Contini, 2008. "Forecasting errors: yet more problems for identification?," LABORatorio R. Revelli Working Papers Series 88, LABORatorio R. Revelli, Centre for Employment Studies.
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-03-14 (All new papers)
- NEP-ECM-2009-03-14 (Econometrics)
- NEP-FOR-2009-03-14 (Forecasting)
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