Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/229485
Authors: 
Kasahara, Hiroyuki
Sugita, Yoichi
Year of Publication: 
2020
Series/Report no.: 
CESifo Working Paper No. 8667
Abstract: 
Commonly used methods of production function estimation assume that a firm’s output quantity can be observed as data, but typical datasets contain only revenue, not output quantity. We examine the nonparametric identification of production function from revenue data when a firm faces a general nonparametric demand function under imperfect competition. Under standard assumptions, we provide the constructive nonparametric identification of various firm-level objects: gross production function, total factor productivity, price markups over marginal costs, output prices, output quantities, a demand system, and a representative consumer’s utility function.
Subjects: 
nonparametric identification
production function
markup
total factor productivity
revenue
JEL: 
C14
L11
L25
Document Type: 
Working Paper

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