• Media type: Report; E-Book
  • Title: Nonparametric Identification of Production Function, Total Factor Productivity, and Markup from Revenue Data
  • Contributor: Kasahara, Hiroyuki [Author]; Sugita, Yoichi [Author]
  • imprint: Munich: Center for Economic Studies and Ifo Institute (CESifo), 2020
  • Language: English
  • Keywords: production function ; C14 ; total factor productivity ; L11 ; nonparametric identification ; L25 ; markup ; revenue
  • Origination:
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  • Description: 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.
  • Access State: Open Access