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A Note on Decompositions in Fixed Effects Models in the Presence of Time-Invariant Characteristics

Author

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  • Heitmueller, Axel

    (Imperial College London)

Abstract

Though theoretically appealing and very popular amongst labour economists, the interpretation of the unexplained part of the Oaxaca (1973) decomposition as discrimination rather than an omitted variable problem in cross-section data has often been criticised. In this note it is shown that this problem extends also to panel data and moreover that in a fixed effects model including time invariant regressors omitted variables are a necessary and deliberate consequence. Monte Carlo simulation is used to show the extent of the bias. Special cases and practical implications are discussed.

Suggested Citation

  • Heitmueller, Axel, 2005. "A Note on Decompositions in Fixed Effects Models in the Presence of Time-Invariant Characteristics," IZA Discussion Papers 1886, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp1886
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    References listed on IDEAS

    as
    1. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
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    Cited by:

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    2. Bachan, Ray & Bryson, Alex, 2022. "The Gender Wage Gap Among University Vice Chancellors in the UK," Labour Economics, Elsevier, vol. 78(C).
    3. Axel Heitmueller & Kostas G. Mavromaras, 2007. "On The Post‐Unification Development Of Public And Private Pay In Germany," Manchester School, University of Manchester, vol. 75(4), pages 422-444, July.
    4. Nathalie Magne, 2017. "Wage inequality in workers’ cooperatives and conventional firms," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 14(2), pages 303-329, December.
    5. Hoang, Tuyen Thanh & Nguyen, Cuong Viet & Van Tran, Hoa Thi, 2019. "Are female CEOs more risk averse than male counterparts? Evidence from Vietnam," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 57-74.

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    More about this item

    Keywords

    decomposition; fixed effects; Monte Carlo study;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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