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Comment

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  • van der Klaauw, Wilbert

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  • van der Klaauw, Wilbert, 2005. "Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 154-157, April.
    • Handle: RePEc:bes:jnlbes:v:23:y:2005:p:154-157
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    1. David Card & Andrew K. G. Hildreth & Lara D. Shore-Sheppard, 2001. "The Measurement of Medicaid Coverage in the SIPP: Evidence from California, 1990-1996," NBER Working Papers 8514, National Bureau of Economic Research, Inc.
    2. David Joulfaian & Mark Rider, 2003. "Errors in Variables and Estimated Price Elasticities for Charitable Giving," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0307, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    3. Susanne M. Schennach, 2004. "Estimation of Nonlinear Models with Measurement Error," Econometrica, Econometric Society, vol. 72(1), pages 33-75, January.
    4. Spletzer, James R, 2000. "The Contribution of Establishment Births and Deaths to Employment Growth," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 113-126, January.
    5. Poterba, James M & Summers, Lawrence H, 1986. "Reporting Errors and Labor Market Dynamics," Econometrica, Econometric Society, vol. 54(6), pages 1319-1338, November.
    6. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    7. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    8. Julie L. Hotchkiss & M. Melinda Pitts & John C. Robertson, 2003. "The ups and downs of jobs in Georgia: what can we learn about employment dynamics from state administrative data?," FRB Atlanta Working Paper 2003-38, Federal Reserve Bank of Atlanta.
    9. Li, Tong & Vuong, Quang, 1998. "Nonparametric Estimation of the Measurement Error Model Using Multiple Indicators," Journal of Multivariate Analysis, Elsevier, vol. 65(2), pages 139-165, May.
    10. Card, David, 1996. "The Effect of Unions on the Structure of Wages: A Longitudinal Analysis," Econometrica, Econometric Society, vol. 64(4), pages 957-979, July.
    11. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    12. Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September.
    13. Sepanski, J. H. & Carroll, R. J., 1993. "Semiparametric quasilikelihood and variance function estimation in measurement error models," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 223-256, July.
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