prminwge | 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:
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year: 1950-1987
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avgmin: weighted avg min wge, 44 indust
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avgwage: wghted avg hrly wge, 44 indust
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kaitz: Kaitz min wage index
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avgcov: wghted avg coverage, 8 indust
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covt: economy-wide coverage of min wg
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mfgwage: avg manuf. wage
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prdef: Puerto Rican price deflator
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prepop: PR employ/popul ratio
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prepopf: PR employ/popul ratio, alter.
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prgnp: PR GNP
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prunemp: PR unemployment rate
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usgnp: US GNP
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t: time trend: 1 to 38
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post74: time trend: starts in 1974
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lprunemp: log(prunemp)
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lprgnp: log(prgnp)
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lusgnp: log(usgnp)
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lkaitz: log(kaitz)
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lprun_1: lprunemp[_n-1]
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lprepop: log(prepop)
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lprep_1: lprepop[_n-1]
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mincov: (avgmin/avgwage)*avgcov
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lmincov: log(mincov)
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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
https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041
Examples
str(prminwge)