Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64674 
Authors: 
Year of Publication: 
2009
Series/Report no.: 
cemmap working paper No. CWP26/09
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
This paper studies the identifying power of conditional quantile restrictions in short panels with fixed effects. In contrast to classical fixed effects models with conditional mean restrictions, conditional quantile restrictions are not preserved by taking differences in the regression equation over time. This paper shows however that a conditional quantile restriction, in conjunction with a weak conditional independence restriction, provides bounds on quantiles of differences in time-varying unobservables across periods. These bounds carry observable implications for model parameters which generally result in set identification. The analysis of these bounds includes conditions for point identification of the parameter vector, as well as weaker conditions that result in identification of individual parameter components.
Subjects: 
bound analysis
conditional quantiles
partial identification
panel data
fixed effects
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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