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AStA Advances in Statistical Analysis In AStA Advances in Statistical Analysis, Vol. 92, No. 2. (1 May 2008), pp. 197-206, doi:10.1007/s10182-008-0056-3 Key: citeulike:9784239
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This paper develops a general Blinder–Oaxaca decomposition that allows the differences in an outcome variable between two groups to be decomposed into (i) a part that is explained by differences in observed characteristics and (ii) a part attributable to differences in the estimated coefficients also for nonlinear regression models. Based on this general model, we show how it can be applied to different models with discrete and limited dependent variables.
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