minwage: minwage

Description Usage Format Notes Source Examples

Description

Wooldridge Source: 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. Data loads lazily.

Usage

1
data('minwage')

Format

A data.frame with 612 observations on 58 variables:

Notes

The sectors corresponding to the different numbers in the data file are provided in the Wolfson and Bellman and article.

Used in Text: pages 379, 410, 444-445, 674-675

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples

1

Example output

'data.frame':	612 obs. of  58 variables:
 $ emp232   : num  271 272 269 263 258 ...
 $ wage232  : num  0.86 0.86 0.86 0.86 0.87 ...
 $ emp236   : num  53.1 54.8 52.9 48.3 47.6 ...
 $ wage236  : num  0.99 1 0.98 0.91 0.93 ...
 $ emp234   : num  93.4 94.6 95.4 95.2 96.3 ...
 $ wage234  : num  0.92 0.92 0.91 0.92 0.92 ...
 $ emp314   : num  254 257 257 254 246 ...
 $ wage314  : num  0.99 0.98 0.99 0.99 0.99 ...
 $ emp228   : num  185 185 182 180 174 ...
 $ wage228  : num  0.91 0.94 0.98 0.98 0.98 ...
 $ emp233   : num  346 358 358 327 303 ...
 $ wage233  : num  1.55 1.57 1.54 1.42 1.38 ...
 $ emp394   : num  79.5 79.5 79.6 78.2 76.2 ...
 $ wage394  : num  1.03 1.04 1.05 1.05 1.06 ...
 $ emp231   : num  144 146 147 146 146 ...
 $ wage231  : num  1.27 1.27 1.27 1.25 1.25 ...
 $ emp226   : num  90.6 90.7 90.6 89.4 88.6 ...
 $ wage226  : num  1.07 1.08 1.1 1.13 1.12 ...
 $ emp387   : num  41.9 42.4 42 41.7 41.6 ...
 $ wage387  : num  1.07 1.07 1.08 1.09 1.1 ...
 $ emp056   : num  560 544 572 582 578 ...
 $ wage056  : num  0.94 0.94 0.96 0.98 0.97 ...
 $ unem     : num  NA NA NA NA NA NA NA NA NA NA ...
 $ cpi      : num  21.5 21.5 21.9 21.9 21.9 ...
 $ minwage  : num  0.4 0.4 0.4 0.4 0.4 ...
 $ lemp232  : num  5.6 5.61 5.59 5.57 5.55 ...
 $ lwage232 : num  -0.151 -0.151 -0.151 -0.151 -0.139 ...
 $ gemp232  : num  NA 0.00663 -0.01405 -0.02259 -0.01767 ...
 $ gwage232 : num  NA 0 0 0 0.0116 ...
 $ lminwage : num  -0.916 -0.916 -0.916 -0.916 -0.916 ...
 $ gmwage   : num  NA 0 0 0 0 0 0 0 0 0 ...
 $ gmwage_1 : num  NA NA 0 0 0 0 0 0 0 0 ...
 $ gmwage_2 : num  NA NA NA 0 0 0 0 0 0 0 ...
 $ gmwage_3 : num  NA NA NA NA 0 0 0 0 0 0 ...
 $ gmwage_4 : num  NA NA NA NA NA 0 0 0 0 0 ...
 $ gmwage_5 : num  NA NA NA NA NA NA 0 0 0 0 ...
 $ gmwage_6 : num  NA NA NA NA NA NA NA 0 0 0 ...
 $ gmwage_7 : num  NA NA NA NA NA NA NA NA 0 0 ...
 $ gmwage_8 : num  NA NA NA NA NA NA NA NA NA 0 ...
 $ gmwage_9 : num  NA NA NA NA NA NA NA NA NA NA ...
 $ gmwage_10: num  NA NA NA NA NA NA NA NA NA NA ...
 $ gmwage_11: num  NA NA NA NA NA NA NA NA NA NA ...
 $ gmwage_12: num  NA NA NA NA NA NA NA NA NA NA ...
 $ lemp236  : num  3.97 4 3.97 3.88 3.86 ...
 $ gcpi     : num  NA 0 0.0184 0 0 ...
 $ lcpi     : num  3.07 3.07 3.09 3.09 3.09 ...
 $ lwage236 : num  -0.0101 0 -0.0202 -0.0943 -0.0726 ...
 $ gemp236  : num  NA 0.0315 -0.0353 -0.091 -0.0146 ...
 $ gwage236 : num  NA 0.0101 -0.0202 -0.0741 0.0217 ...
 $ lemp234  : num  4.54 4.55 4.56 4.56 4.57 ...
 $ lwage234 : num  -0.0834 -0.0834 -0.0943 -0.0834 -0.0834 ...
 $ gemp234  : num  NA 0.01277 0.00842 -0.0021 0.01149 ...
 $ gwage234 : num  NA 0 -0.0109 0.0109 0 ...
 $ lemp314  : num  5.54 5.55 5.55 5.54 5.5 ...
 $ lwage314 : num  -0.0101 -0.0202 -0.0101 -0.0101 -0.0101 ...
 $ gemp314  : num  NA 0.01058 0.00117 -0.01214 -0.03203 ...
 $ gwage314 : num  NA -0.0102 0.0102 0 0 ...
 $ t        : int  1 2 3 4 5 6 7 8 9 10 ...
 - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"

wooldridge documentation built on June 24, 2021, 9:07 a.m.