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Table 5 Effect of the minimum wage on log wage gap, sub-sample private employees age 25–54 in large firms outside the agricultural sector (1987Q3 – 2010Q1)1

From: Does the minimum wage reduce wage inequality? Evidence from Thailand

Percentile All workers Only male workers
  2SLS Predicted median 2SLS Predicted median
  (1) (2) (1) (2) (1) (2) (1) (2)
5 –0.378 0.729* 0.083 1.337 0.551 0.519* 0.33 1.354
  (1.013) (0.375) (0.262) (0.839) (0.694) (0.28) (0.215) (0.833)
10 –1.25 0.499* 0.239 0.927 0.174 0.543** 0.281 1.418**
  (1.603) (0.283) (0.212) (0.676) (0.652) (0.22) (0.196) (0.603)
20 –0.688 0.63** 0.404*** 1.165** 0.443 0.352** 0.23 0.92*
  (1.073) (0.247) (0.113) (0.59) (0.462) (0.149) (0.167) (0.513)
25 –0.478 0.649*** 0.374*** 1.192** 0.516 0.415*** 0.282** 1.084**
  (0.913) (0.209) (0.094) (0.508) (0.377) (0.129) (0.118) (0.462)
30 –0.305 0.63*** 0.363*** 1.158*** 0.489 0.412*** 0.274*** 1.074**
  (0.719) (0.192) (0.083) (0.403) (0.312) (0.124) (0.09) (0.432)
40 0.214 0.478*** 0.238*** 0.879*** 0.468 0.433*** 0.157** 1.128***
  (0.354) (0.166) (0.058) (0.314) (0.333) (0.096) (0.07) (0.28)
75 0.096 –0.373 –0.037 –0.671* 0.474 0.218 0.014 0.571
  (0.353) (0.242) (0.071) (0.374) (0.394) (0.171) (0.068) (0.436)
90 0.695 –0.037 0.296** –0.059 0.042 0.098 0.121 0.258
  (0.877) (0.382) (0.146) (0.714) (0.528) (0.3) (0.155) (0.816)
95 –0.205 0.465 0.405** 0.842 –1.004 –0.032 0.194 –0.088
  (0.909) (0.519) (0.174) (1.01) (0.952) (0.562) (0.196) (1.535)
F-test (weak IV) 2.408 8.942    3.494 10.884   
Year dummy Yes Yes Yes Yes Yes Yes Yes Yes
Province dummy Yes Yes Yes Yes Yes Yes Yes Yes
Provincial trend No Yes No Yes No Yes No Yes
  1. Note: Standard errors are in parentheses while ***, ** and * indicate significant at 1%, 5% and 10% level respectively. 1This sample does not include both quarters of 2001 due to a change in definition of a variable “firm size” in that year