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Asymptotic collinearity in CCE estimation of interactive effects models

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  • Westerlund, Joakim
  • Petrova, Yana

Abstract

Researchers sometime fall into the dummy variable trap. A typical scenario in panel data is when wanting to estimate the effect of a regressor that is time invariant, such as sex or race, and accidentally including cross-section specific fixed effects. The problem here is that the fixed effects and the regressor are collinear, which causes the resulting pooled least squares estimator to break down. In interactive effects models such breakdowns can occur even if the regressors are not time invariant. The reason is that the interactive effects are flexible enough to generate a wide range of behaviours that are likely to be shared by the regressors. The current paper considers the challenging case when some of the regressors are asymptotically collinear with the interactive effects. The relevant asymptotic theory is developed and tested in small samples using both simulated and real data.

Suggested Citation

  • Westerlund, Joakim & Petrova, Yana, 2018. "Asymptotic collinearity in CCE estimation of interactive effects models," Economic Modelling, Elsevier, vol. 70(C), pages 331-337.
    • Handle: RePEc:eee:ecmode:v:70:y:2018:i:c:p:331-337
    DOI: 10.1016/j.econmod.2017.07.023
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    1. Greenaway-McGrevy, Ryan & Han, Chirok & Sul, Donggyu, 2012. "Asymptotic distribution of factor augmented estimators for panel regression," Journal of Econometrics, Elsevier, vol. 169(1), pages 48-53.
    2. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    3. Moon, Hyungsik Roger & Weidner, Martin, 2017. "Dynamic Linear Panel Regression Models With Interactive Fixed Effects," Econometric Theory, Cambridge University Press, vol. 33(1), pages 158-195, February.
    4. David Card, 1995. "The Wage Curve: A Review," Working Papers 722, Princeton University, Department of Economics, Industrial Relations Section..
    5. David Card, 1995. "The Wage Curve: A Review," Journal of Economic Literature, American Economic Association, vol. 33(2), pages 285-299, June.
    6. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    7. Heckman, James J. & Lochner, Lance J. & Todd, Petra E., 2006. "Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 7, pages 307-458, Elsevier.
    8. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    9. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    10. Karabiyik, Hande & Reese, Simon & Westerlund, Joakim, 2017. "On the role of the rank condition in CCE estimation of factor-augmented panel regressions," Journal of Econometrics, Elsevier, vol. 197(1), pages 60-64.
    11. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    12. repec:fth:prinin:343 is not listed on IDEAS
    13. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    14. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Stauskas, Ovidijus & De Vos, Ignace, 2024. "Handling Distinct Correlated Effects with CCE," MPRA Paper 120194, University Library of Munich, Germany.
    2. Mohitosh Kejriwal & Xiaoxiao Li & Linh Nguyen & Evan Totty, 2024. "The efficacy of ability proxies for estimating the returns to schooling: A factor model‐based evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 3-21, January.
    3. De Vos, Ignace & Stauskas, Ovidijus, 2024. "Cross-section bootstrap for CCE regressions," Journal of Econometrics, Elsevier, vol. 240(1).

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    More about this item

    Keywords

    CCE estimation; Interactive effects; Asymptotic collinearity; Singular signal matrix;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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