name of dataset: minwage
no of variables: 58
no of observations: 612

+-----------+-----------------------------------------------+
| variable  | label                                         |
+-----------+-----------------------------------------------+
| emp232    | employment, sector 232, 1000s                 |
| wage232   | hourly wage, sector 232, $                    |
| emp236    |                                               |
| wage236   |                                               |
| emp234    |                                               |
| wage234   |                                               |
| emp314    |                                               |
| wage314   |                                               |
| emp228    |                                               |
| wage228   |                                               |
| emp233    |                                               |
| wage233   |                                               |
| emp394    |                                               |
| wage394   |                                               |
| emp231    |                                               |
| wage231   |                                               |
| emp226    |                                               |
| wage226   |                                               |
| emp387    |                                               |
| wage387   |                                               |
| emp056    |                                               |
| wage056   |                                               |
| unem      | civilian unemployment rate, %                 |
| cpi       | Consumer Price Index (urban), 1982-1984 = 100 |
| minwage   | Federal minimum wage, $/hour                  |
| lemp232   | log(emp232)                                   |
| lwage232  | log(wage232)                                  |
| gemp232   | lemp232 - lemp232[_n-1]                       |
| gwage232  | lwage232 - lwage232[_n-1]                     |
| lminwage  | log(minwage)                                  |
| gmwage    | lminwage - lminwage[_n-1]                     |
| gmwage_1  | gmwage[_n-1]                                  |
| gmwage_2  |                                               |
| gmwage_3  |                                               |
| gmwage_4  |                                               |
| gmwage_5  |                                               |
| gmwage_6  |                                               |
| gmwage_7  |                                               |
| gmwage_8  |                                               |
| gmwage_9  |                                               |
| gmwage_10 |                                               |
| gmwage_11 |                                               |
| gmwage_12 |                                               |
| lemp236   |                                               |
| gcpi      | lcpi - lcpi[_n-1]                             |
| lcpi      | log(cpi)                                      |
| lwage236  |                                               |
| gemp236   |                                               |
| gwage236  |                                               |
| lemp234   |                                               |
| lwage234  |                                               |
| gemp234   |                                               |
| gwage234  |                                               |
| lemp314   |                                               |
| lwage314  |                                               |
| gemp314   |                                               |
| gwage314  |                                               |
| t         | linear time trend, 1 to 612                   |
+-----------+-----------------------------------------------+

P. Wolfson and D. Belman (2004), “The Minimum Wage: Consequences for
Prices and Quantities in Low-Wage Labor Markets,” Journal of Business
& Economic Statistics 22, 296-311. Professor Belman kindly provided
the data.