论文检索

利用渐近枢轴统计量进行有限样本工具变量推断AI 解读

We consider the K-statistic, Kleibergen's (2002, Econometrica 70, 1781–1803) adaptation of the Anderson–Rubin (AR) statistic in instrumental variables regression. Whereas Kleibergen (2002) especially analyzes the asymptotic behavior of the statistic, we focus on finite-sample properties in a Gaussian framework. The AR statistic then has an F-distribution. The finite-sample distribution of the K-statistic is, however, affected by nuisance parameters. We consider two extreme…

作为降秩回归的套利定价理论模型AI 解读

Integrating the two steps of an arbitrage pricing theory (APT) model leads to a reduced rank regression (RRR) model. So the results on RRR can be used to estimate APT models, making estimation very simple. The authors give a succinct derivation of estimation of RRR, derive the asymptotic variance of RRR estimators for a general cause, and discuss how undersized samples (more assets than time periods) can be dealt with.

任意变量子集含相关或不相关测量误差时的回归一致估计集合AI 解读

OVER THE LAST DECADE the problem of measurement errors in the independent variables of a regression equation has attracted renewed interest among econometricians. In the fifties and sixties, the problem was considered to be more or less hopeless due to its inherent underidentification (e.g., Theil (1971)). Apart from instrumental variables, the most frequently cited textbook solution was Wald's method of grouping (Wald (1940)). Recent insight into the properties of the…