IDEAS home Printed from
MyIDEAS: Log in (now much improved!)

Citations for "The Bias of Instrumental Variable Estimators"

by Buse, A

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Maurice Bun & Frank Windmeijer, 2010. "A comparison of bias approximations for the 2SLS estimator," CeMMAP working papers CWP07/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  2. Markus Frölich & Michael Lechner, 2006. "Exploiting regional treatment intensity for the evaluation of labour market policies," CeMMAP working papers CWP11/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  3. Andrea F. Presbitero, 2006. "Institutions and geography as sources of economic development," Journal of International Development, John Wiley & Sons, Ltd., vol. 18(3), pages 351-378.
  4. Maurice Bun & Frank Windmeijer, 2007. "The weak instrument problem of the system GMM estimator in dynamic panel data models," CeMMAP working papers CWP08/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  5. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
  6. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
  7. Jean-Marie Dufour & Joanna Jasiak, 2000. "Finite Sample Inference Methods for Simultaneous Equations and Models with Unobserved and Generated Regressors," Econometric Society World Congress 2000 Contributed Papers 1536, Econometric Society.
  8. Jean-Marie Dufour & Lynda Khalaf & Maral Kichian, 2005. "Inflation Dynamics and the New Keynesian Phillips Curve: An Identification-Robust Econometric Analysis," Staff Working Papers 05-27, Bank of Canada.
  9. Jean-Louis ARCAND & Béatrice D'HOMBRES, 2002. "Explaining the Negative Coefficient Associated with Human Capital in Augmented Solow Growth Regressions," Working Papers 200227, CERDI.
  10. Markus Frölich & Michael Lechner, 2004. "Regional treatment intensity as an instrument for the evaluation of labour market policies," University of St. Gallen Department of Economics working paper series 2004 2004-08, Department of Economics, University of St. Gallen.
  11. Jondeau, Eric & Le Bihan, Hervé, 2008. "Examining bias in estimators of linear rational expectations models under misspecification," Journal of Econometrics, Elsevier, vol. 143(2), pages 375-395, April.
  12. Blomquist, N.S., 1992. "Estimation Methods for Male Labor Supply Functions: How to take Account to Taxes," Papers 1992-7, Uppsala - Working Paper Series.
  13. Dufour, J.M., 2001. "Logique et tests d'hypotheses: reflexions sur les problemes mal poses en econometrie," Cahiers de recherche 2001-15, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  14. Phillips, Garry D. A., 2000. "An alternative approach to obtaining Nagar-type moment approximations in simultaneous equation models," Journal of Econometrics, Elsevier, vol. 97(2), pages 345-364, August.
  15. Blomquist, Soren & Dahlberg, Matz, 1999. "Small Sample Properties of LIML and Jackknife IV Estimators: Experiments with Weak Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 69-88, Jan.-Feb..
  16. Wilson, Daniel J., 2000. "Estimating Returns to Scale: Lo, Still No Balance," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 285-314, April.
  17. Martin Gaynor & Gerard F. Anderson, 1993. "Uncertain Demand, The Structure of Hospital Costs, and the Cost of EmptyHospital Beds," NBER Working Papers 4460, National Bureau of Economic Research, Inc.
  18. Yun-Yeong Kim & Joon Y. Park, 1999. "The Asymptotic Variance Bound for Instrumental Variables Estimators," Working Paper Series no10, Institute of Economic Research, Seoul National University.
  19. Gao, Chuanming & Lahiri, Kajal, 2000. "Further consequences of viewing LIML as an iterated Aitken estimator," Journal of Econometrics, Elsevier, vol. 98(2), pages 187-202, October.
  20. Chad Syverson, 2004. "Market Structure and Productivity: A Concrete Example," NBER Working Papers 10501, National Bureau of Economic Research, Inc.
  21. Jean-Louis ARCAND & Béatrice D'HOMBRES & Paul GYSELINCK, 2004. "Instrument Choice and the Returns to Education: New Evidence from Vietnam," Working Papers 200422, CERDI.
  22. Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
  23. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
  24. Joshua D. Angrist & Guido W. Imbens & Alan Krueger, 1995. "Jackknife Instrumental Variables Estimation," NBER Technical Working Papers 0172, National Bureau of Economic Research, Inc.
  25. Jon Danielsson & Ryan Love, 2004. "Feedback trading," LSE Research Online Documents on Economics 24760, London School of Economics and Political Science, LSE Library.
  26. Kim, Yun-Yeong, 2011. "An asymptotic variance inequality for instrumental variable estimators signaling proportional bias increases," Economics Letters, Elsevier, vol. 112(1), pages 53-55, July.
  27. M. Christopher Auld, 2012. "Using Observational Data to Identify the Causal Effects of Health-related Behaviour," Chapters, in: The Elgar Companion to Health Economics, Second Edition, chapter 4 Edward Elgar Publishing.
  28. Bun, Maurice J.G. & Windmeijer, Frank, 2011. "A comparison of bias approximations for the two-stage least squares (2SLS) estimator," Economics Letters, Elsevier, vol. 113(1), pages 76-79, October.
  29. John Bound & David A. Jaeger & Regina Baker, 1993. "The Cure Can Be Worse than the Disease: A Cautionary Tale Regarding Instrumental Variables," NBER Technical Working Papers 0137, National Bureau of Economic Research, Inc.
  30. John C. Ham & John H. Kagel & Steven F. Lehrer, 2000. "Randomization, Endogeneity and Laboratory Experiments," Econometric Society World Congress 2000 Contributed Papers 1524, Econometric Society.
  31. Ekaterini Panopoulou & Nicolaos Kourogenis & Nikitas Pittis, 2006. "Irrelevant but highly persistent instruments in stationary regressions with endogenous variables containing near-to-unit roots," Economics, Finance and Accounting Department Working Paper Series n1620106.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.