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Dynamic Panel Data Models with Irregular Spacing: With Applications to Early Childhood Development

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  • Millimet, Daniel L.

    (Southern Methodist University)

  • McDonough, Ian K.

    (University of Nevada, Las Vegas)

Abstract

With the increased availability of longitudinal data, dynamic panel data models have become commonplace. Moreover, the properties of various estimators of such models are well known. However, we show that these estimators breakdown when the data are irregularly spaced along the time dimension. Unfortunately, this is an increasingly frequent occurrence as many longitudinal surveys are collected at non-uniform intervals and no solution is currently available when time-varying covariates are included in the model. In this paper, we propose several new estimators for dynamic panel data models when data are irregularly spaced and compare their finite sample performance to the naïve application of existing estimators. We illustrate the practical importance of this issue by turning to two applications on early childhood development.

Suggested Citation

  • Millimet, Daniel L. & McDonough, Ian K., 2013. "Dynamic Panel Data Models with Irregular Spacing: With Applications to Early Childhood Development," IZA Discussion Papers 7359, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp7359
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    9. Zhang, Xiaoge & Chen, Maolong, 2023. "Indirect inference approach to estimating dynamic panel data models with irregular spacing," Economics Letters, Elsevier, vol. 226(C).
    10. Hendrik Thiel & Stephan L. Thomsen, 2015. "Individual Poverty Paths and the Stability of Control-Perception," SOEPpapers on Multidisciplinary Panel Data Research 794, DIW Berlin, The German Socio-Economic Panel (SOEP).
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    15. Khalaf, Lynda & Kichian, Maral & Saunders, Charles J. & Voia, Marcel, 2021. "Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit," Journal of Econometrics, Elsevier, vol. 220(2), pages 589-605.
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    17. Chen, Maolong & Myers, Robert J. & Hu, Chaoran, 2020. "Estimating dynamic binary choice models using irregularly spaced panel data," Economics Letters, Elsevier, vol. 192(C).
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    20. Fiona Steele & Emily Grundy, 2021. "Random effects dynamic panel models for unequally spaced multivariate categorical repeated measures: an application to child–parent exchanges of support," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 3-23, January.

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    More about this item

    Keywords

    student achievement; interactive fixed effects; irregular spacing; panel data; obesity;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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