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"Identification and Estimation of Production Function with Unobserved Heterogeneity" by Dr. Hiroyuki Kasahara

Publishing Date: 17/04/2018      (Last Update: 17/04/2018)

 

Economics Seminar

Author:

  • Hiroyuki Kasahara
    The University of British Columbia

 

 

 

Event Details

DateMonday, 30 April 2018
Time4:30pm - 6pm
VenueKK910

This paper examines non-parametric identifiability of production function when production functions are heterogenous across firms beyond Hicks-neutral technology terms. Using a finite mixture specification to capture unobserved heterogeneity in production technology, we shows that production function for each unobserved type is non-parametrically identified under regularity conditions. We estimate a random coefficients production function using the panel data of Japanese publicly-traded manufacturing firms and compare it with the estimate of production function with fixed coefficients estimated by the method of Gandhi, Navarro, and Rivers (2013). Our estimates for random coefficients production function suggest that there exists substantial heterogeneity in production function coefficients beyond Hicks neutral term across firms within narrowly defined industry.