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Comparing marginal effects between different models and/or samples

Author

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  • Jörg Schwiebert

    (Leuphana University Lüneburg)

Abstract

This paper proposes a simple approach to comparing marginal effects between different models and/or samples. A Generalized Method of Moments estimation framework is set up in which the equality of marginal effects between models/samples can be tested quite easily. Three relevant examples of potential application are provided. Stata code in the appendix shows that an implementation of the proposed approach in practice is quite simple.

Suggested Citation

  • Jörg Schwiebert, 2016. "Comparing marginal effects between different models and/or samples," Economics Bulletin, AccessEcon, vol. 36(4), pages 2324-2332.
  • Handle: RePEc:ebl:ecbull:eb-16-00143
    as

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    File URL: http://www.accessecon.com/Pubs/EB/2016/Volume36/EB-16-V36-I4-P225.pdf
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    References listed on IDEAS

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    1. Laszlo Goerke & Markus Pannenberg, 2012. "Risk Aversion and Trade‐Union Membership," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(2), pages 275-295, June.
    2. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 791-821.
    3. 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.
    4. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    5. Fougère, Denis & Safi, Mirna, 2008. "The Effects of Naturalization on Immigrants’ Employment Probability (France, 1968–1999)," IZA Discussion Papers 3372, Institute of Labor Economics (IZA).
    6. Mroz, Thomas A, 1987. "The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions," Econometrica, Econometric Society, vol. 55(4), pages 765-799, July.
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    More about this item

    Keywords

    Average marginal effects; Generalized method of moments; Linear probability model; Marginal effects; Probit model;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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