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Table 2 Key magnitudes for earnings, wages, and hours worked

From: Are changes in the dispersion of hours worked a cause of increased earnings inequality?

  Earnings Wages Hours
  MLD Gini MLD SDlog MLD Mean
Country Min Max Min Max Min Max Min Max Min Max Min Max
USA 0.169 0.247 0.305 0.367 0.108 0.188 0.465 0.666 0.033 0.045 38.565 40.595
  (0.004) (0.004) (0.003) (0.003) (0.002) (0.004) (0.005) (0.024) (0.001) (0.002) (0.147) (0.102)
UK 0.217 0.268 0.337 0.368 0.124 0.159 0.487 0.586 0.064 0.097 37.394 39.199
  (0.007) (0.008) (0.005) (0.003) (0.004) (0.003) (0.007) (0.011) (0.003) (0.004) (0.113) (0.240)
DE 0.140 0.235 0.262 0.327 0.090 0.129 0.412 0.547 0.052 0.082 37.841 39.695
  (0.005) (0.007) (0.005) (0.004) (0.003) (0.005) (0.006) (0.011) (0.002) (0.003) (0.186) (0.155)
FR 0.116 0.149 0.245 0.284 0.079 0.112 0.383 0.523 0.034 0.043 35.417 37.704
  (0.002) (0.005) (0.002) (0.005) (0.002) (0.002) (0.005) (0.013) (0.001) (0.002) (0.043) (0.046)
  1. Note: MLD stands for mean log deviation, SDlog for the s.d. of the log of hourly wages, and Gini for the Gini coefficient. All inequality measures are computed for each country, each year, and “Min” and “Max” report the lowest and highest values observed for each country over the sample period, respectively. Standard errors obtained through boot-strapping in brackets