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Table 7 Estimates of minimum wage effects on employment by educational attainment

From: Minimum wages and employment in China

Dependent variable: log (Employment/Population)

High school or below

Vocational school

Junior college

College or above

Independent variables (log)

(1)

(2)

(1)

(2)

(1)

(2)

(1)

(2)

 

A. All Regions

MW, current year

–.080**

–.054**

–.037

–.046*

–.018

–.023

–.006

–.013

 

(.040)

(.025)

(.025)

(.025)

(.020)

(.020)

(.013)

(.014)

MW, lagged 1 year

–.019

–.029

–.040**

–.047**

–.002

–.016

–.005

–.019

 

(.020)

(.018)

(.020)

(.020)

(.021)

(.021)

(.015)

(.015)

MW, sum current and lagged

–.099***

–.083***

–.077***

–.092***

–.020

–.039

–.011

–.032

 

(.030)

(.029)

(.027)

(.027)

(.018)

(.024)

(.015)

(.021)

MW (level) effects on wages

.541***

.326***

.560***

.391***

.056

.053

.157*

.187

 

(.056)

(.066)

(.072)

(.078)

(.084)

(.088)

(.095)

(.119)

Other controls

No

Yes

No

Yes

No

Yes

No

Yes

R 2

.046

.076

.036

.068

.044

.079

.003

.032

Number of counties per year

659

659

636

636

653

653

632

632

Average obs. per county per year

744

744

196

196

408

408

277

277

 

B. East

MW, current year

–.070*

–.061

–.049

–.054

–.048

–.064

–.031

–.032

 

(.038)

(.041)

(.046)

(.047)

(.037)

(.040)

(.020)

(.020)

MW, lagged 1 year

–.025

–.017

–.003

–.006

.028

.018

–.039

–.039

 

(.023)

(.024)

(.028)

(.030)

(.027)

(.028)

(.027)

(.027)

MW, sum current and lagged

–.095***

–.079*

–.052

–.060

.020

–.046

–.069

–.072

 

(.036)

(.043)

(.054)

(.054)

(.021)

(.035)

(.045)

(.058)

MW (level) effects on wages

.720***

.300***

.619***

.419***

.044

.005

.335

.346

 

(.087)

(.110)

(.110)

(.143)

(.186)

(.182)

(.258)

(.254)

Other controls

No

Yes

No

Yes

No

Yes

No

Yes

R 2

.056

.062

.028

.036

.053

.091

.011

.032

Number of counties per year

289

289

281

281

286

286

284

284

Average obs. per county per year

819

819

224

224

476

476

355

355

 

C. Central

MW, current year

–.071**

–.077**

–.048

–.051

.012

.007

.074

.077

 

(.034)

(.035)

(.037)

(.037)

(.023)

(.023)

(.056)

(.057)

MW, lagged 1 year

–.052**

–.047*

–.083***

–.090***

–.030

–.033

.080

.079

 

(.025)

(.025)

(.032)

(.033)

(.033)

(.034)

(.038)

(.038)

MW, sum current and lagged

–.123***

–.124***

–.131***

–.141***

–.018

–.026

.155

.157

 

(.043)

(.043)

(.040)

(.040)

(.034)

(.035)

(.107)

(.109)

MW (level) effects on wages

.391***

.326***

.434***

.409***

.024

.070

.016

.051

 

(.084)

(.091)

(.107)

(.107)

(.105)

(.118)

(.130)

(.143)

Other controls

No

Yes

No

Yes

No

Yes

No

Yes

R 2

.083

.111

.073

.094

.045

.082

.045

.046

Number of counties per year

277

277

263

263

274

274

259

259

Average obs. per county per year

650

650

170

170

341

341

197

197

 

D. West

MW, current year

–.184

–.030

–.019

.012

–.068

–.034

.033

.112

 

(.163)

(.092)

(.073)

(.086)

(.062)

(.060)

(.084)

(.103)

MW, lagged 1 year

.154

–.037

–.046

–.031

.020

–.021

–.020

–.054

 

(.120)

(.092)

(.090)

(.089)

(.078)

(.072)

(.070)

(.062)

MW, sum current and lagged

–.031

–.068

–.065

–.019

–.048

–.055

.013

.058

 

(.120)

(.092)

(.104)

(.111)

(.081)

(.097)

(.106)

(.138)

MW (level) effects on wages

.365

.060

.436

.605

.424

.232

.498

.343

 

(.348)

(.461)

(.398)

(.607)

(.294)

(.411)

(.386)

(.451)

Other controls

No

Yes

No

Yes

No

Yes

No

Yes

R 2

.013

.059

.028

.052

.017

.099

.019

.080

Number of counties per year

93

93

92

92

93

93

89

89

Average obs. per county per year

791

791

183

183

394

394

258

258

  1. Cluster–robust standard errors at the county level are in parentheses. All variables in the table are at county level. 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. In each panel, the estimates of MW effects on wages are taken from Additional file 1: Table S2
  2. ***Statistically significant at the 1 percent level; **at the 5 percent level; *at the 10 percent level