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bdecon / econ_data

Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
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bd CPS: new variables 1989 onward consistent retired and nilf-school #234

Closed bdecon closed 3 years ago

bdecon commented 5 years ago

Look into the possibility of a set of new variables that capture certain NILF characteristics in 1989-onward consistent ways. NILFREASON only works for 1994 onward, but perhaps some of the individual categories can be calculated from other CPS questions to return consistent variables.

Specifically, retired should be feasible (A-LFSR > 4 & A-MAJACT == 7) and perhaps NILF-school (A-LFSR > 4 & A-MAJACT == 5).

I'd want to see how well this matched up with NILFREASON between 1993 and 1994. I think the issue is mostly between disabled and other, so school and retired might be consistent and worth checking.

bdecon commented 3 years ago

Doesn't look like this will be easy, closing the issue. May revisit