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Estimating Production Functions When Productivity Change Is Endogenous
Marc-Andreas Muendler, University of California, San Diego
ABSTRACT: Production function estimation with micro-data shows that a persistent
unobserved variable varies within firm or plant over time but resists
treatment and may cause biases. This paper presents an estimation
model of the firm under endogenous productivity change. The model
implies that (i) the so-far untreated effect stems from firms' planned
efficiency responses to the competitive environment and that (ii) a suit-
able proxy to productivity is investment interacted with a sector-level
competition variable. An application to Brazilian manufacturing firm
data shows that this proxy and multivariate extensions yield coefficient
estimates with considerably less noise in bootstraps than alternative
proxies, while reducing the difference to fixed-effects estimation and
remedying commonly suspected biases. Whereas productivity change is
measured consistently, scale economies are not identified when produc-
tivity and price are endogenous.
SUGGESTED CITATION: Marc-Andreas Muendler,
"Estimating Production Functions When Productivity Change Is Endogenous"
(February 1, 2004).
Department of Economics, UCSD.
Paper 2004-05.
http://repositories.cdlib.org/ucsdecon/2004-05
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