ROBUSTPF: Stata module for robust estimation of production functions with errors in proxy variables

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

Statistical Software Components from Boston College Department of Economics

Abstract: robustpf estimates production functions robustly against errors in proxy variables, based on the identification and estimation theories developed in Hu, Huang, and Sasaki (J. Econometrics, 2020). The command takes as input an output variable y, a capital variable k, and J types of labor variables l1...lJ. In addition, for estimation of a gross-output production function, a user can set up to five intermediate input variables as options m1()...m5(). A user must set a proxy variable by calling the option proxy(), which often takes one of the intermediate input variables or an investment variable. Displayed results consist of returns to scale and coefficients of each input variable.

Language: Stata
Requires: Stata version 14.2
Keywords: production functions; robust estimation; proxy variables (search for similar items in EconPapers)
Date: 2020-05-27, Revised 2022-09-23
Note: This module should be installed from within Stata by typing "ssc install robustpf". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/r/robustpf.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/robustpf.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/e/exampleFile-URL ... c/bocode/_/chile.dta sample data file (application/x-stata)
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