6533b7d4fe1ef96bd1262685

RESEARCH PRODUCT

Production Function Estimation in Stata Using the Ackerberg–Caves–Frazer Method

Miguel C. ManjonJuan A. Mañez

subject

Estimationgeographygeography.geographical_feature_category05 social sciencesFunction (mathematics)Mathematics (miscellaneous)Cave0502 economics and businessEconometricsProduction (economics)Endogeneity050207 economicsMathematical economics050205 econometrics Generalized method of momentsMathematics

description

We present a new e-class command, acfest, that implements the method of Ackerberg, Caves, and Frazer (2015, Econometrica 83: 2411–2451) to estimate production functions. This method deals with the functional dependence problems that may arise in the methods proposed by Olley and Pakes (1996, Econometrica 64: 1263–1297) and, particularly, Levinsohn and Petrin (2003, Review of Economic Studies 70: 317–341) (implemented in Stata by Yasar, Raciborski, and Poi [2008, Stata Journal 8: 221–231] and Petrin, Poi, and Levinsohn [2004, Stata Journal 4: 113–123], respectively). In particular, the acfest command yields (nonlinear, robust) generalized method of moments estimates using a Mata function and two specification tests (Wald and Sargan–Hansen). After estimation, predict provides the estimated productivity of the firms in the sample.

https://doi.org/10.1177/1536867x1601600406