Summary statistics for morg79 dataset : by Jean Roth , jroth@nber.org , 15 Mar 2017 Variable | Obs Mean Std. Dev. Min Max -------------+--------------------------------------------------------- minsamp | 328,406 5.994848 1.999996 4 8 intmonth | 328,406 6.511443 3.462432 1 12 hhid | 0 state | 328,406 52.5708 26.07841 11 95 smsarank | 328,406 5.473055 10.76297 0 57 -------------+--------------------------------------------------------- hurespli | 327,050 1.724687 .8365564 1 7 hhnum | 328,406 1.101719 .3509795 1 8 activlwr | 328,406 2.83863 2.172591 1 7 hourslw | 185,477 38.79885 14.24659 1 99 reasonlw | 48,417 10.49121 3.602452 1 15 -------------+--------------------------------------------------------- absentlw | 13,963 3.292272 2.504118 1 8 classer | 251,035 1.387751 .7412465 1 5 ind70 | 249,230 544.773 292.0613 17 937 occ70 | 249,292 485.6882 278.2904 1 984 lineno | 328,406 1.811788 1.098876 0 36 -------------+--------------------------------------------------------- relahh | 328,406 2.415534 1.279357 1 6 age | 328,406 41.98219 18.62521 16 99 marital | 328,406 2.825609 2.490347 1 7 race | 328,406 1.145302 .4195424 1 3 sex | 328,406 1.531878 .4989835 1 2 -------------+--------------------------------------------------------- veteran | 154,541 4.744734 1.829572 1 6 gradeat | 328,406 11.97399 3.123871 0 18 gradecp | 328,406 1.237526 .4255679 1 2 esr | 328,406 2.586506 2.065169 1 7 weight | 328,406 1475.611 591.762 2.07 12287.05 -------------+--------------------------------------------------------- smsastat | 286,378 1.335193 .4720588 1 2 centcity | 279,401 2.063414 .7872063 1 3 ethnic | 327,428 7.802702 1.095115 1 9 ptstat | 328,406 .5902755 1.756032 0 6 ftpt79 | 328,406 1.011839 1.194556 0 5 -------------+--------------------------------------------------------- prunecat | 328,406 .0974739 .6285067 0 8 agri | 328,406 .0250056 .1561423 0 1 docc70 | 328,406 13.24538 13.88866 0 44 doinglw | 327,722 2.897376 2.299609 1 8 hourslwa | 184,591 38.77284 14.28067 -8 99 -------------+--------------------------------------------------------- uhours35 | 47,550 1.652366 .4762241 1 2 why35lw | 47,787 10.49003 3.60313 1 15 class | 249,210 2.001822 1.797082 1 8 uhours | 170,772 38.1114 11.11913 -8 99 paidhr | 170,161 1.411857 .4921709 1 2 -------------+--------------------------------------------------------- earnhr | 84,252 513.2632 277.4588 1 9999 uearnwk | 144,140 236.116 159.2908 -98 999 earnwt | 328,406 6024.412 2443.244 8.38 69937.99 eligible | 328,406 1.649903 .4770009 1 2 uhourse | 171,745 38.16458 10.98882 0 99 -------------+--------------------------------------------------------- paidhre | 171,745 1.409048 .4916596 1 2 earnhre | 101,493 518.3687 267.7485 50 9999 earnwke | 171,745 238.8505 159.0336 0 999 I25a | 328,406 .0119791 .1087916 0 1 I25b | 328,406 .0152372 .1224953 0 1 -------------+--------------------------------------------------------- I25c | 328,406 .0441192 .2053602 0 1 I25d | 328,406 .0860977 .2805087 0 1 uearnwke | 101,493 198.9823 126.4889 0 999 recnum | 328,406 172707.7 99650.52 1 345213 year | 328,406 1979 0 1979 1979 -------------+--------------------------------------------------------- ym_file | 328,406 233.5114 3.462432 228 239 ym | 328,406 224.5269 6.942151 213 236 smsa70 | 111,224 1.597632 .4903776 1 2 dind | 249,230 29.16633 14.2219 1 52 by Jean Roth , jroth@nber.org , 15 Mar 2017