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Valid Confidence Intervals and Inference in the Presence of Weak Instruments

  • Zivot, E
  • Startz, R
  • Nelson, C-R

We investigate confidence intervals and inference for the instrumental variables model with weak instruments. Wald-based confidence intervals for a structural parameter perform poorly in that the probability they reject the null is far greater than their nominal size. We show that the preactice of "pre-testing" by looking at the significance of the fist-stage regression and then making inference based on the Wald statistic leads to extremely poor results when the instruments are very weak.

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Paper provided by University of Washington, Department of Economics in its series Working Papers with number 97-17.

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Length: 22 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:udb:wpaper:97-17
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  1. Fuhrer, Jeffrey C. & Moore, George R. & Schuh, Scott D., 1995. "Estimating the linear-quadratic inventory model Maximum likelihood versus generalized method of moments," Journal of Monetary Economics, Elsevier, vol. 35(1), pages 115-157, February.
  2. Robert E. Hall, 1981. "Intertemporal Substitution in Consumption," NBER Working Papers 0720, National Bureau of Economic Research, Inc.
  3. Nelson, C. & Startz, R., 1988. "Some Furthere Results On The Exact Small Sample Properties Of The Instrumental Variable Estimator," Working Papers 88-06, University of Washington, Department of Economics.
  4. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-87, October.
  5. John Y. Campbell & N. Gregory Mankiw, 1989. "Consumption, Income and Interest Rates: Reinterpreting the Time Series Evidence," NBER Chapters, in: NBER Macroeconomics Annual 1989, Volume 4, pages 185-246 National Bureau of Economic Research, Inc.
  6. Maddala, G S, 1974. "Some Small Sample Evidence on Tests of Significance in Simultaneous Equations Models," Econometrica, Econometric Society, vol. 42(5), pages 841-51, September.
  7. Angrist, Joshua D & Krueger, Alan B, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, MIT Press, vol. 106(4), pages 979-1014, November.
  8. Dufour, J.M., 1995. "Some Impossibility Theorems in Econometrics with Applications to Instrumental Variables, Dynamic Models and Cointegration," Cahiers de recherche 9539, Universite de Montreal, Departement de sciences economiques.
  9. D. Klepinger & S. Lundberg & R. Plotnick, . "Instrument selection: The case of teenage childbearing and women's educational attainment," Institute for Research on Poverty Discussion Papers 1077-95, University of Wisconsin Institute for Research on Poverty.
  10. Wang, J. & Zivot, E., 1996. "Inference of a Structural Parameter in Intrumental Variables Regression with weak Instruments," Discussion Papers in Economics at the University of Washington 96-06, Department of Economics at the University of Washington.
  11. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  12. repec:fth:harver:1435 is not listed on IDEAS
  13. Phillips, P.C.B., 1983. "Exact small sample theory in the simultaneous equations model," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 8, pages 449-516 Elsevier.
  14. Rotemberg, Julio J, 1984. "Interpreting the Statistical Failures of Some Rational Expectations Macroeconomic Models," American Economic Review, American Economic Association, vol. 74(2), pages 188-93, May.
  15. Hall, Alastair R & Rudebusch, Glenn D & Wilcox, David W, 1996. "Judging Instrument Relevance in Instrumental Variables Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 283-98, May.
  16. Shea, J., 1993. "Instrument Relevance in Linear Models: A Simple Measure," Working papers 9312, Wisconsin Madison - Social Systems.
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