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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