生产力和绩效:GMM方法

IF 1.5 3区 经济学 Q2 ECONOMICS Oxford Bulletin of Economics and Statistics Pub Date : 2022-12-01 DOI:10.1111/obes.12530
Mike G. Tsionas, Subal C. Kumbhakar
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引用次数: 1

摘要

在本文中,我们提出了一种单步广义矩量法(GMM)方法来估计具有多个准固定和可变输入的生产函数以及生产率和低效率。我们的方法依赖于由生产函数组成的系统,相对于可变投入的预期利润最大化的一阶条件,以及动态生产率和低效率的一般公式。估计过程考虑了生产率和低效率与变量输入的相关性,而不使用系统中误差项(包括低效率)的任何分布假设。我们使用印度尼西亚制造业普查数据来说明我们的程序的工作原理。
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Productivity and Performance: A GMM approach

In this paper we propose a single-step generalized method of moments (GMM) approach to estimate a production function with multiple quasi-fixed and variable inputs as well as productivity and inefficiency. Our approach relies on the system consisting of the production function, the first-order conditions of expected profit maximization with respect to the variable inputs, as well as general formulations for dynamic productivity and inefficiency. The estimation procedure takes care of correlations of both productivity and inefficiency with the variable inputs without using any distributional assumptions on the error terms (including inefficiency) in the system. We use Indonesian manufacturing census data to illustrate workings of our procedure.

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来源期刊
Oxford Bulletin of Economics and Statistics
Oxford Bulletin of Economics and Statistics 管理科学-统计学与概率论
CiteScore
5.10
自引率
0.00%
发文量
54
审稿时长
>12 weeks
期刊介绍: Whilst the Oxford Bulletin of Economics and Statistics publishes papers in all areas of applied economics, emphasis is placed on the practical importance, theoretical interest and policy-relevance of their substantive results, as well as on the methodology and technical competence of the research. Contributions on the topical issues of economic policy and the testing of currently controversial economic theories are encouraged, as well as more empirical research on both developed and developing countries.
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