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来源类型Working Paper
规范类型报告
DOI10.3386/w15951
来源IDWorking Paper 15951
Measurement Errors in Investment Equations
Heitor Almeida; Murillo Campello; Antonio F. Galvao Jr.
发表日期2010-04-29
出版年2010
语种英语
摘要We use Monte Carlo simulations and real data to assess the performance of alternative methods that deal with measurement error in investment equations. Our experiments show that individual-fixed effects, error heteroscedasticity, and data skewness severely affect the performance and reliability of methods found in the literature. In particular, estimators that use higher-order moments are shown to return biased coefficients for (both) mismeasured and perfectly-measured regressors. These estimators are also very inefficient. Instrumental variables-type estimators are more robust and efficient, although they require fairly restrictive assumptions. We estimate empirical investment models using alternative methods. Real-world investment data contain firm-fixed effects and heteroscedasticity, causing high-order moments estimators to deliver coefficients that are unstable across different specifications and not economically meaningful. Instrumental variables methods yield estimates that are robust and seem to conform to theoretical priors. Our analysis provides guidance for dealing with the problem of measurement error under circumstances empirical researchers are likely to find in practice.
主题Financial Economics ; Corporate Finance
URLhttps://www.nber.org/papers/w15951
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/573627
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GB/T 7714
Heitor Almeida,Murillo Campello,Antonio F. Galvao Jr.. Measurement Errors in Investment Equations. 2010.
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