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An empirical evaluation of some models for non-random attrition in panel data

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  • Ridder, Geert

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  • Ridder, Geert, 1992. "An empirical evaluation of some models for non-random attrition in panel data," Structural Change and Economic Dynamics, Elsevier, vol. 3(2), pages 337-355, December.
    • Handle: RePEc:eee:streco:v:3:y:1992:i:2:p:337-355
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    Cited by:

    1. Yamana Kazufumi, 2020. "Monte Carlo Evidence on the Estimation Method for Industry Dynamics," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-12, January.
    2. Emre Ekinci & Insan Tunah & Berk Yavuzoglu, 2017. "Rescaled Additivity Non-Ignorable (RAN) Model of Generalized Attrition," Working Papers 1702, Nazarbayev University, Department of Economics, revised Mar 2017.
    3. Marcel Das & Vera Toepoel & Arthur van Soest, 2011. "Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys," Sociological Methods & Research, , vol. 40(1), pages 32-56, February.
    4. Judith K. Hellerstein & Guido W. Imbens, 1999. "Imposing Moment Restrictions From Auxiliary Data By Weighting," The Review of Economics and Statistics, MIT Press, vol. 81(1), pages 1-14, February.
    5. John Fitzgerald & Peter Gottschalk & Robert Moffitt, 1998. "An Analysis of Sample Attrition in Panel Data: The Michigan Panel Study of Income Dynamics," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 251-299.
    6. Heng Chen & Marie-Hélène Felt & Kim P. Huynh, 2017. "Retail payment innovations and cash usage: accounting for attrition by using refreshment samples," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 503-530, February.
    7. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.
    8. Terence C. Cheng & Pravin K. Trivedi, 2015. "Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the Mabel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1101-1117, September.
    9. Sasaki, Yuya, 2015. "Heterogeneity and selection in dynamic panel data," Journal of Econometrics, Elsevier, vol. 188(1), pages 236-249.
    10. Juergen Jung, 2022. "Estimating transition probabilities between health states using US longitudinal survey data," Empirical Economics, Springer, vol. 63(2), pages 901-943, August.
    11. Dick M. Carpenter & Sarah J. Kaka & Jennifer A. Tygret & Katy Cathcart, 2018. "Testing the Efficacy of a Scholarship Program for Single Parent, Post-Freshmen, Full Time Undergraduates," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(1), pages 108-131, February.
    12. Emre Ekinci, 2009. "Dealing with Attrition When Refreshment Samples are Available: An Application to the Turkish Household Labor Force Survey," 2009 Meeting Papers 353, Society for Economic Dynamics.
    13. Harding, Matthew & Lamarche, Carlos, 2019. "A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment," Journal of Econometrics, Elsevier, vol. 211(1), pages 61-82.
    14. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 2001. "Combining Panel Data Sets with Attrition and Refreshment Samples," Econometrica, Econometric Society, vol. 69(6), pages 1645-1659, November.
    15. Randolph Luca Bruno & Laura Magazzini & Marco Stampini, 2018. "The Joint Estimate of Singleton and Longitudinal Observations: a GMM Approach for Improved Efficiency," Working Papers 04/2018, University of Verona, Department of Economics.
    16. Nevo, Aviv, 2003. "Using Weights to Adjust for Sample Selection When Auxiliary Information Is Available," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 43-52, January.
    17. Nail Kashaev, 2022. "Estimation of Parametric Binary Outcome Models with Degenerate Pure Choice-Based Data with Application to COVID-19-Positive Tests from British Columbia," University of Western Ontario, Departmental Research Report Series 20225, University of Western Ontario, Department of Economics.
    18. Richard Dorsett, 2004. "Using matched substitutes to adjust for nonignorable nonresponse: an empirical investigation using labour market data," PSI Research Discussion Series 16, Policy Studies Institute, UK.
    19. Shin, Jaeun & Moon, Sangho, 2006. "Fertility, relative wages, and labor market decisions: A case of female teachers," Economics of Education Review, Elsevier, vol. 25(6), pages 591-604, December.
    20. Nicoletti, Cheti & Buck, Nick, 2004. "Explaining interviewee contact and co-operation in the British and German Household Panels," ISER Working Paper Series 2004-06, Institute for Social and Economic Research.
    21. La Paix Puello, Lissy & Olde-Kalter, Marie-José & Geurs, Karst T., 2017. "Measurement of non-random attrition effects on mobility rates using trip diaries data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 51-64.

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