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Panel Data Analysis

Author

Listed:
  • Rüttenauer, Tobias
  • Kapelle, Nicole

    (Trinity College Dublin)

Abstract

Panel data offer a valuable lens through which social science phenomena can be examined over time. With panel data, we can overcome some of the fundamental problems with conventional cross-sectional analyses by focusing on the within-unit changes rather than the differences between units. This chapter delves into the foundations, recent advancements, and critical issues associated with panel data analysis. The chapter illustrates the basic concepts of random effects (RE) and fixed effects (FE) estimators. Moving beyond the fundamentals, we provide an intuition for various recent developments and advances in the field of panel data methods, paying particular attention to the identification of time-varying treatment effects or impact functions. To illustrate practical application, we investigate how marriage influences sexual satisfaction. While married individuals report a higher sexual satisfaction than un-married respondents (between-comparison), individuals experience a decline in satisfaction after marriage compared to their pre-marital levels (within-comparison).

Suggested Citation

  • Rüttenauer, Tobias & Kapelle, Nicole, 2024. "Panel Data Analysis," SocArXiv 3mfzq_v1, Center for Open Science.
  • Handle: RePEc:osf:socarx:3mfzq_v1
    DOI: 10.31219/osf.io/3mfzq_v1
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    References listed on IDEAS

    as
    1. Fernández-Val, Iván & Weidner, Martin, 2016. "Individual and time effects in nonlinear panel models with large N, T," Journal of Econometrics, Elsevier, vol. 192(1), pages 291-312.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Xu, Yiqing, 2017. "Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models," Political Analysis, Cambridge University Press, vol. 25(1), pages 57-76, January.
    4. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    5. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    6. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    8. Ron Lesthaeghe, 2010. "The Unfolding Story of the Second Demographic Transition," Population and Development Review, The Population Council, Inc., vol. 36(2), pages 211-251, June.
    9. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    10. Glenn Firebaugh, 2008. "The First Rule, from Seven Rules for Social Research," Introductory Chapters, in: Seven Rules for Social Research, Princeton University Press.
    11. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2021. "Matrix Completion Methods for Causal Panel Data Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1716-1730, October.
    12. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    13. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    14. Heisig, Jan Paul & Schaeffer, Merlin & Giesecke, Johannes, 2017. "The Costs of Simplicity: Why Multilevel Models May Benefit from Accounting for Cross-Cluster Differences in the Effects of Controls," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 82(4), pages 796-827.
    15. Stammann, Amrei & Heiß, Florian & McFadden, Daniel, 2016. "Estimating Fixed Effects Logit Models with Large Panel Data," VfS Annual Conference 2016 (Augsburg): Demographic Change 145837, Verein für Socialpolitik / German Economic Association.
    16. Marco Giesselmann & Alexander W. Schmidt-Catran, 2022. "Interactions in Fixed Effects Regression Models," Sociological Methods & Research, , vol. 51(3), pages 1100-1127, August.
    17. Roman Hoffmann & Raya Muttarak & Jonas Peisker & Piero Stanig, 2022. "Climate change experiences raise environmental concerns and promote Green voting," Nature Climate Change, Nature, vol. 12(2), pages 148-155, February.
    18. Tobias Ruttenauer & Ozan Aksoy, 2024. "When Can We Use Two-Way Fixed-Effects (TWFE): A Comparison of TWFE and Novel Dynamic Difference-in-Differences Estimators," Papers 2402.09928, arXiv.org, revised Apr 2024.
    19. Nicole Kapelle & Theresa Nutz & Daria Tisch & Manuel Schechtl & Philipp M. Lersch & Emanuela Struffolino, 2022. "My Wealth, (Y)Our Life Satisfaction? Sole and Joint Wealth Ownership and Life Satisfaction in Marriage," European Journal of Population, Springer;European Association for Population Studies, vol. 38(4), pages 811-834, October.
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