On Resampling Inference in Econometric Models

  • Jayasri Dutta


This paper examines alternative applications of resampling methods to estimation and inference in econometric models. The major applications of resampling have been in the construction of sampling distributions. Here, we demonstrate that in models specified by moment condition, often referred to as generalised method of moments, resampling can be used to generate testable implications of these moment restrictions. We also use resampling techniques to correct for the bias of instrumental variables estimation. This estimates the leading term in the Nagar expansion for the bias of such an estimator. Monte Carlo experiments suggest that the correction can lead to sharp improvements in the bias of such estimators in small samples.


Instrumental Variable Linear Regression Model Moment Condition Bias Correction Variance Covariance Matrix 
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  1. [1]
    Anderson, T.W. (1948) On the Theory of Testing Serial Correlation Biometrika, 58, 53–60.Google Scholar
  2. [2]
    Breusch, T.S and Pagan, A (1979) A Simple Test for Heteroskedasticity and Random Coefficient Variation, Econometrica, 47, 1287–1294CrossRefGoogle Scholar
  3. [3]
    Brown, R.L., J. Durbin and J.M. Evans (1975) Techniques for Testing the Constancy of Regression Relations Over Time Journal of the Royal Statistical Society. B, 37, 149–192Google Scholar
  4. [4]
    Chow, G (1960) Tests for Equality between Sets of Coefficients in Two Linear Regressions, Econometrica, 28, 591–605CrossRefGoogle Scholar
  5. [5]
    Durbin, J and G.S. Watson (1971) Testing for Serial Correlation in Least Squares Regression Biometrika, 58, 1–19Google Scholar
  6. [6]
    Efron, Bradley (1982) The Jackknife, the Bootsrap, and other Resampling Plans,CBMS-NSF Monograph,(38).Google Scholar
  7. [7]
    Goldfeld, S, and R Quandt (1965) Some Tests for Homoskedasticity Journal of the American Statistical Association, 60, 539–47CrossRefGoogle Scholar
  8. [8]
    Hansen, L (1982) Large Sample Properties of Generalized Method of Moment Estimators, Econometrica, 50, 1029–54CrossRefGoogle Scholar
  9. [9]
    Huber, P (1983) Robust Statistics,New York, J.WileyGoogle Scholar
  10. [10]
    Kadiyala, K.R. (1970) Testing for the Independence of Regression Disturbances, Econometrica 38, 97–117CrossRefGoogle Scholar
  11. [11]
    Krasker, W.S., E. Kuh and R. Welsch, (1983) Estimation of Dirty Data and Flawed Models, in, Z. Grilliches and M. Intrilligator, (ed.), Handbook of Econometrics, Vol I, North-HollandGoogle Scholar
  12. [12]
    Nagar, A.L (1959) The Bias and Moment Matrix of General k-class Estimators of the Parameters in Simultaneous Equations, Econometrica, 27, 575–90CrossRefGoogle Scholar
  13. [13]
    Newey, W. K. (1985) Maximum Likelihood Specification and Conditional Moment Tests, Econometrica, 53, 1047–70CrossRefGoogle Scholar
  14. [14]
    Pagan, A and F. Vella (1988) Diagnostic Testing for Models Based on Individual Data: a Survey, mimeo, fothcoming Applied Econometrics Google Scholar
  15. [15]
    Sargan, J.D and A. Bhargava (1983) Testing Residuals From the Least Squares Regression for Being Generated by the Gaussian Random Walk,Econometrics 51, 1, 153–174CrossRefGoogle Scholar
  16. [16]
    Szroeter, Jerzy, (1978) A Class of Parametric Tests for Heteroskedasticity in Linear Econometric Models Econometrics 46, 6, 1311–1327CrossRefGoogle Scholar
  17. [17]
    Wald, A. (1940) The Fitting of Staight Lines when Both Variable are Subject to Error, Annals of Mathematical Statistics, 5, 40–46Google Scholar
  18. [18]
    Wald, A. (1952) On the Estimation of Parameters in Incomplete Systems of Equations, in T.C. Koopmans,(ed.) Statistical Inference in Dynamic Economic Models, New York, J. WileyGoogle Scholar
  19. [19]
    White, H (1987) Specification Testing in Dynamic Models, in, T. Bewley, (ed.) Advances in Econometrics, Vol I,, Cambridge University PressGoogle Scholar
  20. [20]
    Wu, C. F. J. (1987) Jackknife, Bootstrap, and other Re-sampling Plans in Regression Analysis (with Discussion) Annals of Statistics 14, 4, 1261–1295CrossRefGoogle Scholar

Copyright information

© Springer-Verlag New York Inc. 1990

Authors and Affiliations

  • Jayasri Dutta
    • 1
  1. 1.Barnard CollegeColumbia UniversityUSA

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