injury: injury

Description Usage Format Notes Source Examples

Description

Wooldridge Source: B.D. Meyer, W.K. Viscusi, and D.L. Durbin (1995), “Workers’ Compensation and Injury Duration: Evidence from a Natural Experiment,” American Economic Review 85, 322-340. Professor Meyer kindly provided the data. Data loads lazily.

Usage

1
data('injury')

Format

A data.frame with 7150 observations on 30 variables:

Notes

This data set also can be used to illustrate the Chow test in Chapter 7. In particular, students can test whether the regression functions differ between Kentucky and Michigan. Or, allowing for different intercepts for the two states, do the slopes differ? A good lesson from this example is that a small R-squared is compatible with the ability to estimate the effects of a policy. Of course, for the Michigan data, which has a smaller sample size, the estimated effect is much less precise (but of virtually identical magnitude).

Used in Text: pages 458-459, 475-476

Source

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

Examples

1

Example output

'data.frame':	7150 obs. of  30 variables:
 $ durat   : num  1 1 84 4 1 1 7 2 175 60 ...
 $ afchnge : int  1 1 1 1 1 1 1 1 1 1 ...
 $ highearn: int  1 1 1 1 1 1 1 1 1 1 ...
 $ male    : int  1 1 1 1 1 1 1 1 1 1 ...
 $ married : int  0 1 1 1 1 1 1 1 1 1 ...
 $ hosp    : int  1 0 1 1 0 0 0 1 1 1 ...
 $ indust  : int  3 3 3 3 3 3 3 3 3 3 ...
 $ injtype : int  1 1 1 1 1 1 1 1 1 1 ...
 $ age     : int  26 31 37 31 23 34 35 45 41 33 ...
 $ prewage : num  405 644 398 528 529 ...
 $ totmed  : num  1188 361 8964 1100 373 ...
 $ injdes  : int  1010 1404 1032 1940 1940 1425 1110 1207 1425 1010 ...
 $ benefit : num  247 247 247 247 212 ...
 $ ky      : int  1 1 1 1 1 1 1 1 1 1 ...
 $ mi      : int  0 0 0 0 0 0 0 0 0 0 ...
 $ ldurat  : num  0 0 4.43 1.39 0 ...
 $ afhigh  : int  1 1 1 1 1 1 1 1 1 1 ...
 $ lprewage: num  6 6.47 5.99 6.27 6.27 ...
 $ lage    : num  3.26 3.43 3.61 3.43 3.14 ...
 $ ltotmed : num  7.08 5.89 9.1 7 5.92 ...
 $ head    : int  1 1 1 1 1 1 1 1 1 1 ...
 $ neck    : int  0 0 0 0 0 0 0 0 0 0 ...
 $ upextr  : int  0 0 0 0 0 0 0 0 0 0 ...
 $ trunk   : int  0 0 0 0 0 0 0 0 0 0 ...
 $ lowback : int  0 0 0 0 0 0 0 0 0 0 ...
 $ lowextr : int  0 0 0 0 0 0 0 0 0 0 ...
 $ occdis  : int  0 0 0 0 0 0 0 0 0 0 ...
 $ manuf   : int  0 0 0 0 0 0 0 0 0 0 ...
 $ construc: int  0 0 0 0 0 0 0 0 0 0 ...
 $ highlpre: num  6 6.47 5.99 6.27 6.27 ...
 - attr(*, "datalabel")= chr ""
 - attr(*, "time.stamp")= chr "25 Jun 2011 23:03"
 - attr(*, "formats")= chr  "%9.0g" "%9.0g" "%9.0g" "%9.0g" ...
 - attr(*, "types")= int  254 251 251 251 251 251 251 251 251 254 ...
 - attr(*, "val.labels")= chr  "" "" "" "" ...
 - attr(*, "var.labels")= chr  "duration of benefits" "=1 if after change in benefits" "=1 if high earner" "=1 if male" ...
 - attr(*, "version")= int 10

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