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.
data('prminwge')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)
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
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
str(prminwge)
#> 'data.frame': 38 obs. of 25 variables:
#> $ year : int 1950 1951 1952 1953 1954 1955 1956 1957 1958 1959 ...
#> $ avgmin : num 0.198 0.209 0.225 0.311 0.313 ...
#> $ avgwage : num 0.398 0.41 0.421 0.48 0.508 ...
#> $ kaitz : num 0.155 0.164 0.18 0.229 0.211 ...
#> $ avgcov : num 0.201 0.207 0.226 0.231 0.224 ...
#> $ covt : num 0.29 0.29 0.29 0.29 0.29 ...
#> $ mfgwage : num 0.43 0.45 0.48 0.5 0.52 ...
#> $ prdef : num 0.859 0.881 0.953 0.97 1 ...
#> $ prepop : num 0.47 0.449 0.434 0.428 0.415 ...
#> $ prepopf : num 0.47 0.449 0.434 0.428 0.415 ...
#> $ prgnp : num 879 925 1016 1081 1104 ...
#> $ prunemp : num 15.4 16 14.8 14.5 15.3 ...
#> $ usgnp : num 1204 1328 1380 1435 1416 ...
#> $ t : int 1 2 3 4 5 6 7 8 9 10 ...
#> $ post74 : int 0 0 0 0 0 0 0 0 0 0 ...
#> $ lprunemp: num 2.73 2.77 2.69 2.67 2.73 ...
#> $ lprgnp : num 6.78 6.83 6.92 6.99 7.01 ...
#> $ lusgnp : num 7.09 7.19 7.23 7.27 7.26 ...
#> $ lkaitz : num -1.86 -1.81 -1.71 -1.47 -1.56 ...
#> $ lprun_1 : num NA -1.87 -1.83 -1.91 -1.93 ...
#> $ lprepop : num -0.755 -0.801 -0.835 -0.849 -0.879 ...
#> $ lprep_1 : num NA -0.755 -0.801 -0.835 -0.849 ...
#> $ mincov : num 0.1 0.106 0.121 0.15 0.138 ...
#> $ lmincov : num -2.3 -2.25 -2.11 -1.9 -1.98 ...
#> $ lavgmin : num -1.62 -1.57 -1.49 -1.17 -1.16 ...
#> - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"