Identifying the elasticity of substitution with biased technical change - a structural panel GMM estimator

IF 2.9 4区 经济学 Q1 ECONOMICS
Thomas von Brasch, Arvid Raknerud, Trond C Vigtel
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引用次数: 0

Abstract

Abstract This paper provides a structural panel GMM (P-GMM) estimator of the elasticity of substitution between capital and labour that does not depend on external instruments, and which can be applied in the presence of biased technical change. We identify the conditions under which P-GMM is a consistent estimator and compare it to a fixed effects estimator. Using a Monte Carlo study, we find that the P-GMM estimator is nearly unbiased provided the number of time periods (T) is not too small. We show analytically how the small-T bias is related to metrics of weak identification. In an application on manufacturing firms in Norway, we estimate the elasticity of substitution to be 1.9 using the P-GMM and 1.0 using the fixed effects estimator. Neglecting simultaneity may thus lead to the conclusion that capital and labour are complements or can be described by Cobb-Douglas technology, when, in fact, they are substitutes.
用有偏差的技术变革识别替代弹性——一个结构面板GMM估计器
摘要本文提供了一个不依赖于外部工具的资本和劳动力之间替代弹性的结构面板GMM (P-GMM)估计器,它可以应用于存在偏见的技术变革。我们确定了P-GMM是一致估计量的条件,并将其与固定效应估计量进行了比较。通过蒙特卡罗研究,我们发现,只要时间周期(T)的数量不太小,P-GMM估计量几乎是无偏的。我们分析地展示了小t偏差是如何与弱识别指标相关的。在对挪威制造企业的应用中,我们使用P-GMM估计替代弹性为1.9,使用固定效应估计器估计替代弹性为1.0。因此,忽视同时性可能会导致这样的结论:资本和劳动力是互补的,或者可以用科布-道格拉斯技术来描述,而实际上,它们是替代品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Econometrics Journal
Econometrics Journal 管理科学-数学跨学科应用
CiteScore
4.20
自引率
5.30%
发文量
25
审稿时长
>12 weeks
期刊介绍: The Econometrics Journal was established in 1998 by the Royal Economic Society with the aim of creating a top international field journal for the publication of econometric research with a standard of intellectual rigour and academic standing similar to those of the pre-existing top field journals in econometrics. The Econometrics Journal is committed to publishing first-class papers in macro-, micro- and financial econometrics. It is a general journal for econometric research open to all areas of econometrics, whether applied, computational, methodological or theoretical contributions.
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