Choosing the number of instruments

被引:177
作者
Donald, SG [1 ]
Newey, WK
机构
[1] Univ Texas, Dept Econ, Austin, TX 78712 USA
[2] MIT, Dept Econ, Cambridge, MA 02139 USA
关键词
instrument choice; optimal instrument variables; LIML; 2SLS;
D O I
10.1111/1468-0262.00238
中图分类号
F [经济];
学科分类号
02 ;
摘要
Properties of instrumental variable estimators are sensitive to the choice of valid instruments, even in large cross-section applications. In this paper we address this problem by deriving simple mean-square error criteria that can be minimized to choose the instrument set. We develop these criteria for two-stage least squares (2SLS), limited information maximum likelihood (LIML), and a bias adjusted version of 2SLS (B2SLS). We give a theoretical derivation of the mean-square error and show optimality. In Monte Carlo experiments we find that the instrument choice generally yields an improvement in performance. Also, in the Angrist and Krueger (1991) returns to education application, when the instrument set is chosen in the way we consider, it turns out that both 2SLS and LIML give similar (large) returns to education.
引用
收藏
页码:1161 / 1191
页数:31
相关论文
共 24 条
[1]   EVALUATION OF THE DISTRIBUTION FUNCTION OF THE 2-STAGE LEAST-SQUARES ESTIMATE [J].
ANDERSON, TW ;
SAWA, T .
ECONOMETRICA, 1979, 47 (01) :163-182
[2]   Consistent moment selection procedures for generalized method of moments estimation [J].
Andrews, DWK .
ECONOMETRICA, 1999, 67 (03) :543-564
[3]   HETEROSKEDASTICITY AND AUTOCORRELATION CONSISTENT COVARIANCE-MATRIX ESTIMATION [J].
ANDREWS, DWK .
ECONOMETRICA, 1991, 59 (03) :817-858
[4]  
ANGRIST JD, 1990, AM ECON REV, V80, P313
[5]  
Angrist JD, 1999, J APPL ECONOM, V14, P57, DOI 10.1002/(SICI)1099-1255(199901/02)14:1<57::AID-JAE501>3.0.CO
[6]  
2-G
[7]   DOES COMPULSORY SCHOOL ATTENDANCE AFFECT SCHOOLING AND EARNINGS [J].
ANGRIST, JD ;
KRUEGER, AB .
QUARTERLY JOURNAL OF ECONOMICS, 1991, 106 (04) :979-1014
[8]  
[Anonymous], 1994, HDB ECONOMETRICS
[9]   ALTERNATIVE APPROXIMATIONS TO THE DISTRIBUTIONS OF INSTRUMENTAL VARIABLE ESTIMATORS [J].
BEKKER, PA .
ECONOMETRICA, 1994, 62 (03) :657-681
[10]   PROBLEMS WITH INSTRUMENTAL VARIABLES ESTIMATION WHEN THE CORRELATION BETWEEN THE INSTRUMENTS AND THE ENDOGENOUS EXPLANATORY VARIABLE IS WEAK [J].
BOUND, J ;
JAEGER, DA ;
BAKER, RM .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1995, 90 (430) :443-450