robustpf：生产函数的鲁棒估计命令

IF 3.2 2区数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS

Stata Journal Pub Date : 2023-03-01 DOI:10.1177/1536867X231161977

Yingyao Hu, Guofang Huang, Yuya Sasaki

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引用次数: 0

摘要

我们引入了一个新的命令robustpf来估计Cobb–Douglas生产函数的参数。该命令针对两个潜在问题是稳健的。首先，它对企业投入选择中的优化误差、未观察到的特殊成本冲击和代理变量中的测量误差具有鲁棒性。特别是，该命令放宽了标量不可观测的传统假设。其次，它对静态输入选择的函数依赖性问题也是鲁棒的，这在今天被认为是识别失败的原因。主要方法由胡、黄和佐佐木提出（2020，计量经济学杂志215:375-398）。

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robustpf: A command for robust estimation of production functions

We introduce a new command, robustpf, to estimate parameters of Cobb–Douglas production functions. The command is robust against two potential 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 unobservables. 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).

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来源期刊

Stata Journal 数学-统计学与概率论

CiteScore

7.80

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.