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Non-Response in Dynamic Panel Data Models


  • Cheti Nicoletti

    () (ISER, University of Essex,)


This paper stresses the links that exist between concepts that are used in the theory of model reduction and concepts that arise in the missing data literature. This connection motivates the extension of the missing at random (MAR) and the missing completely at random (MCAR) concepts from a static setting, as introduced by Rubin (1976), to the case of dynamic panel data models. Using this extension of the MAR and MCAR definitions, we emphasize the limits of some tests and procedures, proposed by Little (1988), Diggle (1989), Park and Davis (1993), Taris (1996) and others, to verify the ignorability of the missing data mechanism.

Suggested Citation

  • Cheti Nicoletti, 2002. "Non-Response in Dynamic Panel Data Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A5-4, International Conferences on Panel Data.
  • Handle: RePEc:cpd:pd2002:a5-4

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    References listed on IDEAS

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    Cited by:

    1. Bhattacharya, Debopam, 2008. "Inference in panel data models under attrition caused by unobservables," Journal of Econometrics, Elsevier, vol. 144(2), pages 430-446, June.
    2. Behncke S, 2009. "How Does Retirement Affect Health?," Health, Econometrics and Data Group (HEDG) Working Papers 09/11, HEDG, c/o Department of Economics, University of York.
    3. repec:bla:jorssa:v:180:y:2017:i:2:p:503-530 is not listed on IDEAS
    4. Rene Segers & Philip Hans Franses, 2014. "Panel design effects on response rates and response quality," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 1-24, February.
    5. Kappe, E.R. & Bijwaard, G.E., 2005. "Does work-related training reduce the discrepancy between function requirements and competencies?," Econometric Institute Research Papers EI 2005-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Das, J.W.M. & Toepoel, V. & van Soest, A.H.O., 2007. "Can I use a Panel? Panel Conditioning and Attrition Bias in Panel Surveys," Discussion Paper 2007-56, Tilburg University, Center for Economic Research.
    7. Lee, Yong-Woo, 2016. "State Dependence, Unobserved Heterogeneity, And Health Dynamics In Korea," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 57(2), pages 195-221, December.
    8. Takeshima, Hiroyuki, 2015. "Drivers of growth in agricultural returns to scale: The hiring in of tractor services in the Terai of Nepal:," IFPRI discussion papers 1476, International Food Policy Research Institute (IFPRI).
    9. Giampiero Marra & Rosalba Radice & Till Bärnighausen & Simon N. Wood & Mark E. McGovern, 2017. "A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 484-496, April.

    More about this item


    dynamic panel model; attrition; non-response; missing at random; missing completely at random; statistical model reduction;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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