Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/122038
Authors: 
Byrne, David
Imai, Susumu
Sarafidis, Vasilis
Hirukawa, Masayuki
Year of Publication: 
2015
Series/Report no.: 
Queen's Economics Department Working Paper 1336
Abstract: 
We propose a new methodology for estimating the demand and cost functions of differentiated products models when demand and cost data are available. The method deals with the endogeneity of prices to demand shocks and the endogeneity of outputs to cost shocks, but does not require instruments for identification. We establish non-parametric identification, consistency and asymptotic normality of our estimator. Using Monte-Carlo experiments, we show our method works well in contexts where instruments are correlated with demand and cost shocks, and where commonly-used instrumental variables estimators are biased and numerically unstable.
Document Type: 
Working Paper

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