robustpf: A command for robust estimation of production functions

Yingyao Hu, Guofang Huang () and Yuya Sasaki
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Guofang Huang: Purdue University

Stata Journal, 2023, vol. 23, issue 1, 86-96

Abstract: We introduce a new command, robustpf, to estimate parameters of Cobb–Douglas production functions. The command is robust against two poten- tial problems. First, it is robust against optimization errors in firms’ input choice, unobserved idiosyncratic cost shocks, and measurement errors in proxy variables. In particular, the command relaxes the conventional assumption of scalar unob- servables. Second, it is also robust against the functional dependence problem of static input choice, which is known today as a cause of identification failure. The main method is proposed by Hu, Huang, and Sasaki (2020, Journal of Econometrics 215: 375–398).

Keywords: robustpf; measurement error; robust estimation; Cobb–Douglas; production function (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1177/1536867X231161977

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