Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/122038 
Erscheinungsjahr: 
2015
Schriftenreihe/Nr.: 
Queen's Economics Department Working Paper No. 1336
Verlag: 
Queen's University, Department of Economics, Kingston (Ontario)
Zusammenfassung: 
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.
Dokumentart: 
Working Paper

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