Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/35321
Authors: 
Contini, Bruno
Year of Publication: 
2009
Series/Report no.: 
IZA discussion papers 4035
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.
Subjects: 
Identification
forecasting errors
subjective probabilities
JEL: 
C01
C51
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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