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Table 6 Estimates of minimum wage effects on employment by age cohort

From: Minimum wages and employment in China

Dependent variable: log (Employment/Population)

Age 15–29

Age 30–39

Age 40–49

Age 50–64

Independent variables (log)

Male

Female

Male

Female

Male

Female

Male

Female

 

A. All Regions

MW, current year

–.031

–.148***

–.019

–.068***

.017

–.040

.009

.023

 

(.047)

(.047)

(.027)

(.025)

(.016)

(.027)

(.053)

(.056)

MW, lagged 1 year

–.027

–.061**

–.031

–.034

–.015

–.040**

–.009

–.023

 

(.029)

(.030)

(.019)

(.021)

(.013)

(.017)

(.032)

(.034)

MW, sum current and lagged

–.058

–.210***

–.050

–.102***

–.003

–.080**

–.000

–.000

 

(.053)

(.050)

(.039)

(.027)

(.024)

(.025)

(.072)

(.073)

Minimum–to–average wage ratio

.388

.442

.266

.353

.252

.362

.260

.403

MW (level) effects on wages

.433***

.442***

.442***

.356***

.345***

.239***

.498***

.368**

 

(.126)

(.117)

(.071)

(.078)

(.071)

(.086)

(.082)

(.156)

R 2

.173

.169

.022

.097

.012

.093

.052

.055

Number of counties per year

632

626

654

653

655

653

653

598

Average obs. per county per year

113

114

253

260

309

272

231

100

 

B. East

MW, current year

–.103

–.172**

–.023

–.098***

–.001

–.043

.022

–.057

 

(.112)

(.076)

(.022)

(.033)

(.017)

(.032)

(.042)

(.061)

MW, lagged 1 year

–.012

–.040

–.010

.007

–.016

–.021

–.018

–.001

 

(.049)

(.046)

(.011)

(.024)

(.013)

(.025)

(.031)

(.041)

MW, sum current and lagged

–.116

–.212***

–.033

–.091***

–.016

–.064**

.004

–.059

 

(.136)

(.071)

(.021)

(.033)

(.018)

(.029)

(.042)

(.067)

Minimum–to–average wage ratio

.353

.415

.247

.344

.240

.367

.245

.424

MW (level) effects on wages

.999***

.895***

.664***

.393***

.196

.256

.252

.442

 

(.186)

(.194)

(.118)

(.127)

(.125)

(.158)

(.147)

(.324)

R 2

.176

.195

.049

.094

.013

.092

.039

.094

Number of counties per year

280

280

285

287

288

285

286

269

Average obs. per county per year

131

144

299

308

337

302

266

108

 

C. Central

MW, current year

.014

–.155**

–.052**

–.087**

.013

.034

.025

.152**

 

(.062)

(.068)

(.020)

(.040)

(.023)

(.062)

(.085)

(.075)

MW, lagged 1 year

–.014

–.066

–.072***

–.071**

–.018

–.013

.021

–.024

 

(.068)

(.044)

(.020)

(.036)

(.022)

(.029)

(.052)

(.047)

MW, sum current and lagged

–.001

–.220***

–.123***

–.158***

–.006

.021

.047

.128

 

(.082)

(.077)

(.024)

(.051)

(.039)

(.077)

(.124)

(.092)

Minimum–to–average wage ratio

.433

.482

.278

.360

.256

.354

.264

.368

MW (level) effects on wages

.425*

.114*

.295***

.311***

.290***

.260**

.346

.500***

 

(.222)

(.068)

(.092)

(.109)

(.096)

(.123)

(.239)

(.125)

R 2

.123

.114

.076

.148

.015

.057

.044

.089

Number of counties per year

265

260

276

273

275

277

276

246

Average obs. per county per year

87

94

211

212

276

235

186

95

 

D. West

MW, current year

–.071

–.145

.231*

.078

.093

–.018

–.394**

–.400***

 

(.170)

(.109)

(.123)

(.078)

(.080)

(.111)

(.188)

(.120)

MW, lagged 1 year

–.121

–.215*

.117**

–.103**

.004

.066

–.136

–.037

 

(.124)

(.110)

(.053)

(.046)

(.053)

(.072)

(.139)

(.093)

MW, sum current and lagged

–.192

–.360*

.348**

–.026

.097

.048

–.530*

–.437**

 

(.180)

(.187)

(.166)

(.091)

(.116)

(.156)

(.283)

(.178)

Minimum–to–average wage ratio

.451

.470

.310

.370

.290

.362

.313

.389

MW (level) effects on wages

.610

.511**

.624

.553**

.399

.442

.388***

.217***

 

(.893)

(.246)

(.482)

(.269)

(.520)

(.549)

(.133)

(.048)

R 2

.172

.179

.236

.152

.102

.085

.091

.269

Number of counties per year

87

86

93

93

92

91

91

93

Average obs. per county per year

101

107

237

255

316

288

253

107

  1. Cluster–robust standard errors at the county level are in parentheses. All variables in the table are at the county level, except that CPI is at the city level. Each estimation has controlled for year and county fixed effects as well as other control variables as described in Section 3.2. In each panel, the estimates of MW effects on wages are taken from Additional file 1: Table S1
  2. ***Statistically significant at the 1 percent level; **at the 5 percent level; *at the 10 percent level