G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0086
来源IDTechnical Working Paper 0086
Efficient Estimation of Linear Asset Pricing Models with Moving-Average Errors
Lars Peter Hansen; Kenneth J. Singleton
发表日期1997-03-01
出版年1997
语种英语
摘要This paper explores in depth the nature of the conditional moment restrictions implied by log-linear intertemporal capital asset pricing models (ICAPMs) and shows that the generalized instrumental variables (GMM) estimators of these models (as typically implemented in practice) are inefficient. The moment conditions in the presence of temporally aggregated consumption are derived for two log-linear ICAPMs. The first is a continuous time model in which agents maximize expected utility. In the context of this model, we show that there are important asymmetries between the implied moment conditions for infinitely and finitely-lived securities. The second model assumes that agents maximize non-expected utility, and leads to a very similar econometric relation for the return on the wealth portfolio. Then we describe the efficiency bound (greatest lower bound for the asymptotic variances) of the CNN estimators of the preference parameters in these models. In addition, we calculate the efficient CNN estimators that attain this bound. Finally, we assess the gains in precision from using this optimal CNN estimator relative to the commonly used inefficient CMN estimators.
主题Macroeconomics ; Econometrics
URLhttps://www.nber.org/papers/t0086
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/563449
推荐引用方式
GB/T 7714
Lars Peter Hansen,Kenneth J. Singleton. Efficient Estimation of Linear Asset Pricing Models with Moving-Average Errors. 1997.
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