弱工具变量下计量经济学技术的有效性

On the Validity of Econometric Techniques with Weak Instruments

Journal of Human Resources · 2005
被引 88
人大 AABS 3

中文导读

评估了Angrist和Krueger(1991)以及Bound等人(1995)的研究,通过构建2SLS和LIML估计量的可靠置信区间,发现1970年教育回报率在8%到25%之间,1980年在4%到14%之间,且对弱工具变量的担忧被夸大。

Abstract

Abstract We evaluate Angrist and Krueger (1991) and Bound, Jaeger, and Baker (1995) by constructing reliable confidence regions around the 2SLS and LIML estimators for returns-to-schooling regardless of the quality of the instruments. The results indicate that the returns-to-schooling were between 8 and 25 percent in 1970 and between 4 and 14 percent in 1980. Although the estimates are less accurate than previously thought, most specifications by Angrist and Krueger (1991) are informative for returns-to-schooling. In particular, concern about the reliability of the model with 178 instruments is unfounded despite the low first-stage F-statistic. Finally, we briefly discuss bias-adjustment of estimators and pretesting procedures as solutions to the weak-instrument problem.

弱工具变量计量方法有效性SLS估计LIML估计教育回报率