Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/79349 
Year of Publication: 
2004
Series/Report no.: 
cemmap working paper No. CWP03/04
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
I show how to identify and estimate the average partial effect of explanatory variables in a model where unobserved heterogeneity interacts with the explanatory variables and may be unconditionally correlated with the explanatory variables. To identify the populationaveraged effects, I use extensions of ignorability assumptions that are used for estimating linear models with additive heterogeneity and for estimating average treatment effects. New stimators are obtained for estimating the unconditional average partial effect as well as the average partial effect conditional on functions of observed covariates.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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