Forecasting Errors: Yet More Problems for Identification?

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.

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Year of publication:	2009-02
Authors:	Contini, Bruno
Institutions:	Institute for the Study of Labor (IZA)
Subject:	identification \| forecasting errors \| subjective probabilities

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Extent:	application/pdf
Series:	IZA Discussion Papers.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 4035 13 pages
Classification:	C01 - Econometrics ; C51 - Model Construction and Estimation
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005762154