Difference in differences in reverse

  • Kim, Kimin
  • Lee, Myoung-jae
Citations

WEB OF SCIENCE

28
Citations

SCOPUS

29

초록

In the usual difference in differences (DD), there is a control group that is never treated and a treatment group that is treated at some time point. However, there are DD cases where the control group is always treated (instead of always untreated), which we call 'DD in reverse (DDR)'. This paper examines how the usual DD identification and estimation procedures change for DDR. As it turns out, DDR estimation can be performed in the same way as DD estimation. In contrast, the identification procedure is quite different, because DDR essentially identifies pre-treatment-period effects, whereas DD identifies post-treatment-period effects. An empirical illustration of the effects of a work-hour limit law on actual work hours and wages is provided, where the law is applied to large firms first and then small firms 1 year later in South Korea so that in the second year, the large firms constitute the always-treated control group and the small firms constitute the treatment group. We find that the law raised South Korean workers' well-being, as their work hours decreased while their real weekly wage increased.

키워드

Difference in differencesDifference in differences in reverseRepeated cross sectionsWork-hour limitIDENTIFICATIONEMPLOYMENTWAGES
제목
Difference in differences in reverse
저자
Kim, KiminLee, Myoung-jae
DOI
10.1007/s00181-018-1465-0
발행일
2019-09
유형
Article
저널명
Empirical Economics
57
3
페이지
705 ~ 725