The analysis directory in microdata.no has been expanded with the new command
oaxaca. This is a tool to measure whether there are systematic differences between two groups, e.g. men and women, and the differences are further decomposed into an explained and an unexplained component.
oaxaca command performs a Blinder-Oaxaca decomposition that is used to explain differences in the mean value of the dependent variable for two groups. The difference is decomposed into two components: Explained difference (“between group”) and unexplained effect (coefficient effect). Similar to the
regress command, continuous dependent variables such as e.g. wage are used. The difference is that you specify the two groups through the by-variable when using
The by-variable used for grouping must be categorical, but can have both numeric and alphanumeric value formats. The value that is ranked first (numerically or alphabetically) is linked to group 1. If the variable contains more than two values, the two values that are ranked first are used, while the others are kept out of the analysis.
The standard solution used is “three-fold”, and you get the main numbers:
- The difference in the average value of the dependent variable measured for each of the two groups: mean(group1) – mean(group2)
- Decomposed difference: Explained, unexplained and simultaneous effect
- Number of units belonging to the two respective groups, as well as which value codes are used
By using the
pool option, the system will use a so-called “two-fold pooled” approach where the decomposition uses the overall average as a reference value (simultaneous effect is not reported in this approach).
The most common use is to analyze systematic differences in economic variables such as wages, and compare men against women. But other types of groupings can also be used.
Example of using