Dataset: prminwge Generated on: 2025-08-05 ============================================================ prminwge package:wooldridge R Documentation prminwge Description: Wooldridge Source: A.J. Castillo-Freeman and R.B. Freeman (1992), “When the Minimum Wage Really Bites: The Effect of the U.S.-Level Minimum Wage on Puerto Rico,” in Immigration and the Work Force, edited by G.J. Borjas and R.B. Freeman, 177-211. Chicago: University of Chicago Press. The data are reported in the article. Data loads lazily. Usage: data('prminwge') Format: A data.frame with 38 observations on 25 variables: • *year:* 1950-1987 • *avgmin:* weighted avg min wge, 44 indust • *avgwage:* wghted avg hrly wge, 44 indust • *kaitz:* Kaitz min wage index • *avgcov:* wghted avg coverage, 8 indust • *covt:* economy-wide coverage of min wg • *mfgwage:* avg manuf. wage • *prdef:* Puerto Rican price deflator • *prepop:* PR employ/popul ratio • *prepopf:* PR employ/popul ratio, alter. • *prgnp:* PR GNP • *prunemp:* PR unemployment rate • *usgnp:* US GNP • *t:* time trend: 1 to 38 • *post74:* time trend: starts in 1974 • *lprunemp:* log(prunemp) • *lprgnp:* log(prgnp) • *lusgnp:* log(usgnp) • *lkaitz:* log(kaitz) • *lprun_1:* lprunemp[_n-1] • *lprepop:* log(prepop) • *lprep_1:* lprepop[_n-1] • *mincov:* (avgmin/avgwage)*avgcov • *lmincov:* log(mincov) • *lavgmin:* log(avgmin) Notes: Given the ongoing debate on the employment effects of the minimum wage, this would be a great data set to try to update. The coverage rates are the most difficult variables to construct. Used in Text: pages 356-357, 369-370, 420-421, 434 Source: Examples: str(prminwge)