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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