We are interested in dis aggregating people not in the labor force by the following categories. All of these categories can be computed using exclusively NBER CPS basic (not asec) variables.
Don’t want job - FamDon’t want job - School Don’t want job - Retired
Don’t want job - Dsiabled, ill
Don’t want job - Othe r Variables needed for the above can be found in the BASIC NBER data set: PEMLR PENLFACT PRWNTJOB
Wan’t job - did not search Variable needed for the above can be found in the BASIC NBER data set: PEDWLKO
Wan’t job -Searched - not available Variable needed for the above can be found in the BASIC NBER data set: PEDWAVL
Want job - searched - Available (Marginally attached) Variable needed for the above can be found in the BASIC NBER data set: PEDWRSN Using the above categories/coding we hope to arrive at broad reasons for NILF (regardless of desire for job). NILF - School NILF - Family Duty NILF - Disabled/ ill NILF - Retired NILF -Other
- The only available variable in the IPUMS data set which is congruent with the above variables is WNLOOK. WNLOOK (similar to PEDWRSN in basic NBER), allows us to code the branch for marginally attached workers.
- However, the variables needed to code people who don’t want a job (by the various reason) is not in the IPUMS data base (PENLFACT in the basic NBER). EMPSTAT is limited into three NILF categories (unable to work, other, retired) ; we would like to analyze those who are NILF by the additional reasons of school, ill. family duty.
- Variables such as A_WANTJOB/ NWLOOK/WHYNWLY are in the IPUMS ASEC data base. Although we could link the ASEC and basic to get at some of the categories we want, they are limiting. b) For instance, WHYNWLY and NWLOOKWK has a universe of people who ‘did not work at all last year’. The universe we need is 'people who currently do not hold a job (and have not searched for one int the previous 4 weeks).