Mismeasured variables in econometric analysis: Problems from the right and problems from the left

被引:299
作者
Hausman, J [1 ]
机构
[1] MIT, Cambridge, MA 02139 USA
关键词
D O I
10.1257/jep.15.4.57
中图分类号
F [经济];
学科分类号
02 ;
摘要
The effect of mismeasured variables in the most straightforward regression analysis with a single regressor variable leads to a least squares estimate that is downward biased in magnitude toward zero. I begin by reviewing classical issues involving mismeasured variables. I then consider three recent developments for mismeasurement econometric models. The first issue involves difficulties in using instrumental variables. A second involves the consistent estimators that have recently been developed for mismeasured nonlinear regression models. Finally, I return to mismeasured left hand side variables, where I will focus on issues in binary choice models and duration models.
引用
收藏
页码:57 / 67
页数:11
相关论文
共 30 条
[1]  
Abrevaya J, 1999, Ann Econ Stat, V56, P243
[2]  
Adcock RJ., 1878, ANALYST, V5, P53, DOI DOI 10.2307/2635758
[3]  
Aigner Dennis J., 1973, Journal of Econometrics, V1, P49
[4]  
AIGNER DJ, 1984, HDB ECONOMETRICS, V2, P1323
[5]   INSTRUMENTAL VARIABLE ESTIMATOR FOR THE NONLINEAR ERRORS-IN-VARIABLES MODEL [J].
AMEMIYA, Y .
JOURNAL OF ECONOMETRICS, 1985, 28 (03) :273-289
[6]   CHANGES IN THE UNITED-STATES WAGE STRUCTURE 1963-1987 - APPLICATION OF QUANTILE REGRESSION [J].
BUCHINSKY, M .
ECONOMETRICA, 1994, 62 (02) :405-458
[7]  
CARD D, NBER WORKING PAPER, V7769
[8]   Rank estimators for monotonic index models [J].
Cavanagh, C ;
Sherman, RP .
JOURNAL OF ECONOMETRICS, 1998, 84 (02) :351-381
[9]  
COX DR, 1972, J R STAT SOC B, V34, P187
[10]   RESTRICTING REGRESSION SLOPES IN THE ERRORS-IN-VARIABLES MODEL BY BOUNDING THE ERROR CORRELATION [J].
ERICKSON, T .
ECONOMETRICA, 1993, 61 (04) :959-969