Decomposition of non-linear models using simulated residuals
This paper proposes to decompose non-linear models deduced from a latent regression framework using the latent dependent outcome as dependent variable and the Oaxaca–Blinder decomposition technique. Values of the unobserved latent outcome are obtained using simulated residuals.
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- Mathia Sinning & Markus Hahn & Thomas K. Bauer, 2008. "The Blinder–Oaxaca decomposition for nonlinear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 480-492, December.
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- Thomas Bauer & Mathias Sinning, 2008. "An extension of the Blinder–Oaxaca decomposition to nonlinear models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(2), pages 197-206, May.
- Bauer, Thomas K. & Sinning, Mathias, 2006. "An Extension of the Blinder-Oaxaca Decomposition to Non-Linear Models," RWI Discussion Papers 49, RWI - Leibniz-Institut für Wirtschaftsforschung.
- Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March. Full references (including those not matched with items on IDEAS)
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