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identification problem since the detailed coefficients effect attributed to a dummy variable is not invariant to the choice of … reference groups. It turns out that the identification problem in the decomposition equation is a disguised identification …. The identification problem is automatically resolved once we obtain ?normalized? regression equations for two comparison …
Persistent link: https://www.econbiz.de/10010261567
identification problem since the detailed coefficients effect attributed to a dummy variable is not invariant to the choice of … reference groups. It turns out that the identification problem in the decomposition equation is a disguised identification …. The identification problem is automatically resolved once we obtain "normalized" regression equations for two comparison …
Persistent link: https://www.econbiz.de/10005822487
algorithm for obtaining the normalized regression and applying it to the Oaxaca decomposition. This resolves the invariance …
Persistent link: https://www.econbiz.de/10005763551
We propose a measure of the industrial gender wage gap which is free from an identification problem by using inter … can be used to resolve the identification problem in detailed Oaxaca decompositions of wage differentials. By identifying … resolve the two key identification problems that arise in studying wage gaps: one in detailed Oaxaca decompositions; the other …
Persistent link: https://www.econbiz.de/10005703593
We propose a simple methodology for decomposing differences in the first moment into characteristics and coefficients effects. This methodology provides a way to apply the Blinder-Oaxaca decomposition to a non-linear function for both aggregate and detailed decompositions.
Persistent link: https://www.econbiz.de/10010261590
We propose a simple methodology for decomposing differences in the first moment into characteristics and coefficients effects. This methodology provides a way to apply the Blinder-Oaxaca decomposition to a non-linear function for both aggregate and detailed decompositions.
Persistent link: https://www.econbiz.de/10005233909
Social scientists are often interested in assessing relative changes between two groups over time, for example, the convergence of black-white wages from 1940 to 1990. In such situations, we need a control group for both treatment groups to remove biases resulting from time trends and unobserved...
Persistent link: https://www.econbiz.de/10010328999
Social scientists are often interested in assessing relative changes between two groups over time, for example, the convergence of black-white wages from 1940 to 1990. In such situations, we need a control group for both treatment groups to remove biases resulting from time trends and unobserved...
Persistent link: https://www.econbiz.de/10010221874
Social scientists are often interested in assessing relative changes between two groups over time, for example, the convergence of black-white wages from 1940 to 1990. In such situations, we need a control group for both treatment groups to remove biases resulting from time trends and unobserved...
Persistent link: https://www.econbiz.de/10011128047
We present a detailed decomposition method and provide a Stata estimator to assess relative changes between two groups over time in a synthetic cohort analysis. Using the convergence of black–white wage gap between 1960 and 1970 as an example, we show that education accounts for 73% of the...
Persistent link: https://www.econbiz.de/10011189501