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Reducing asymptotic bias of weak instrumental estimation using independently repeated cross-sectional information

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  • Cai, Zongwu
  • Fang, Ying
  • Su, Jia

Abstract

In this paper, we consider the instrumental variable estimation (the two-stage least squares estimator and the limited information maximum likelihood estimator) using weak instruments in a repeated measurements or a panel data model. We show that independently repeated cross-sectional data can reduce the asymptotic bias of the instrumental variable estimation when instruments are weakly correlated with endogenous variables. When the number of repeated measurements tends to infinity, we can achieve consistent instrumental variable estimation with weak instruments.

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Bibliographic Info

Article provided by Elsevier in its journal Statistics & Probability Letters.

Volume (Year): 82 (2012)
Issue (Month): 1 ()
Pages: 180-185

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Handle: RePEc:eee:stapro:v:82:y:2012:i:1:p:180-185

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Related research

Keywords: Bias reduction; Panel data; Weak instruments;

References

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  1. Nelson, Charles R & Startz, Richard, 1990. "Some Further Results on the Exact Small Sample Properties of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 58(4), pages 967-76, July.
  2. Daniel Berkowitz & Mehmet Caner & Ying Fang, 2006. "Are "Nearly Exogenous" Instruments Reliable?," Working Papers 219, University of Pittsburgh, Department of Economics, revised Jan 2006.
  3. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
  4. Charles R. Nelson & Richard Startz, 1988. "The Distribution of the Instrumental Variables Estimator and Its t-RatioWhen the Instrument is a Poor One," NBER Technical Working Papers 0069, National Bureau of Economic Research, Inc.
  5. 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.
  6. Gruber, Jonathan & Hungerman, Daniel M., 2007. "Faith-based charity and crowd-out during the great depression," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 1043-1069, June.
  7. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  8. Card, David, 2001. "Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems," Econometrica, Econometric Society, vol. 69(5), pages 1127-60, September.
  9. John C. Chao & Norman R. Swanson, 2005. "Consistent Estimation with a Large Number of Weak Instruments," Econometrica, Econometric Society, vol. 73(5), pages 1673-1692, 09.
  10. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  11. James Andreoni & A. Abigail Payne, 2003. "Do Government Grants to Private Charities Crowd Out Giving or Fund-raising?," American Economic Review, American Economic Association, vol. 93(3), pages 792-812, June.
  12. Price V. Fishback & Michael R. Haines & Shawn Kantor, 2002. "The Welfare of Children During the Great Depression," NBER Working Papers 8902, National Bureau of Economic Research, Inc.
  13. James Andreoni & Abigail Payne, 2007. "Crowding out Both Sides of the Philanthropy Market: Evidence from a Panel of Charities," Levine's Bibliography 122247000000001769, UCLA Department of Economics.
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