IDENTIFICATION AND THE INFLUENCE FUNCTION OF OLLEY AND PAKES’ (1996) PRODUCTION FUNCTION ESTIMATOR

IF 1 4区经济学 Q3 ECONOMICS

Econometric Theory Pub Date : 2022-07-22 DOI:10.1017/S0266466622000305

J. Hahn, Z. Liao, G. Ridder

引用次数: 0

Abstract

In this paper, we reconsider the assumptions that ensure the identification of the production function in Olley and Pakes (1996, Econometrica 64, 1263–1297). We show that an index restriction plays a crucial role in the identification, especially if the capital stock is measured by the perpetual inventory method. The index restriction is not sufficient for identification under sample selectivity. The index restriction makes it possible to derive the influence function and the asymptotic variance of the Olley–Pakes estimator.

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OLLEY和PAKES（1996）生产函数估计器的辨识及其影响函数

在本文中，我们重新考虑了Olley和Pakes（1996，Econometrica 641263-1297）中确保生产函数识别的假设。我们证明了指数限制在识别中起着至关重要的作用，特别是如果资本存量是用永续盘存法衡量的。指数限制不足以在样品选择性下进行鉴定。指数限制使得导出Olley–Pakes估计量的影响函数和渐近方差成为可能。

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

Econometric Theory MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY

CiteScore

1.90

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Since its inception, Econometric Theory has aimed to endow econometrics with an innovative journal dedicated to advance theoretical research in econometrics. It provides a centralized professional outlet for original theoretical contributions in all of the major areas of econometrics, and all fields of research in econometric theory fall within the scope of ET. In addition, ET fosters the multidisciplinary features of econometrics that extend beyond economics. Particularly welcome are articles that promote original econometric research in relation to mathematical finance, stochastic processes, statistics, and probability theory, as well as computationally intensive areas of economics such as modern industrial organization and dynamic macroeconomics.