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Measuring information loss due to inconsistencies in duration data from longitudinal surveys

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  • Romeo, Charles J.

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  • Romeo, Charles J., 1997. "Measuring information loss due to inconsistencies in duration data from longitudinal surveys," Journal of Econometrics, Elsevier, vol. 78(2), pages 159-177, June.
    • Handle: RePEc:eee:econom:v:78:y:1997:i:2:p:159-177
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    1. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.
    2. Amemiya, Yasuo, 1985. "Instrumental variable estimator for the nonlinear errors-in-variables model," Journal of Econometrics, Elsevier, vol. 28(3), pages 273-289, June.
    3. Torelli, Nicola & Trivellato, Ugo, 1993. "Modelling inaccuracies in job-search duration data," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 187-211, September.
    4. Christopher J. Flinn & James J. Heckman, 1982. "Models for the Analysis of Labor Force Dynamics," NBER Working Papers 0857, National Bureau of Economic Research, Inc.
    5. Geweke, John, 1986. "Exact Inference in the Inequality Constrained Normal Linear Regression Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(2), pages 127-141, April.
    6. Stephen W. Salant, 1977. "Search Theory and Duration Data: A Theory of Sorts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(1), pages 39-57.
    7. Topel, Robert H, 1991. "Specific Capital, Mobility, and Wages: Wages Rise with Job Seniority," Journal of Political Economy, University of Chicago Press, vol. 99(1), pages 145-176, February.
    8. Brown, James N & Light, Audrey, 1992. "Interpreting Panel Data on Job Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 219-257, July.
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    Cited by:

    1. Tadeusz Bednarski, 2014. "On robust causality nonresponse testing in duration studies under the Cox model," Statistical Papers, Springer, vol. 55(1), pages 221-231, February.

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