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
Authors:	Contini, Bruno
Publisher:	Bonn : Institute for the Study of Labor (IZA)
Subject:	Entscheidung bei Unsicherheit \| Rationale Erwartung \| Prognose \| Statistischer Fehler \| Arbeitsmobilität \| Theorie \| Identification \| forecasting errors \| subjective probabilities

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Series:	IZA Discussion Papers ; 4035
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	594727855 [GVK] hdl:10419/35321 [Handle]
Classification:	C01 - Econometrics ; C51 - Model Construction and Estimation
Source:	EconStor

Persistent link: https://www.econbiz.de/10010271221