Skip to main content

Table 6 Log of real hourly wages, difference-in-differences (Dependent variable = log real hourly wage in 2000 prices)

From: The impact of sectoral minimum wage laws on employment, wages, and hours of work in South Africa

 

Retail

Domestics

Forestry

Taxi

Security

I

II

III

I

II

III

I

II

III

I

II

III

I

II

III

Post

0.0517**

−0.0041

−0.0066

0.0641

0.0727***

0.0547**

0.128***

0.195**

0.195**

0.0289

−0.0662

−0.0021

0.0403

−0.0690

−0.0671

(0.0198)

(0.0194)

(0.0192)

(0.0431)

(0.0230)

(0.0239)

(0.0189)

(0.0905)

(0.0869)

(0.0314)

(0.0562)

(0.0398)

(0.0344)

(0.0479)

(0.0435)

Sector

−0.0622***

  

−0.394***

  

−0.209***

  

−0.646***

  

−0.380***

  

(0.0217)

  

(0.0451)

  

(0.0773)

  

(0.0413)

  

(0.0386)

  

Sector*Post

−0.0122

  

0.0554

  

0.0325

  

−0.00936

  

−0.0246

  

(0.0234)

  

(0.0437)

  

(0.0740)

  

(0.0512)

  

(0.0524)

  

Wage gap

 

−0.286***

  

−0.536***

  

0.0055

  

−0.0250***

  

−0.387***

 
 

(0.0563)

  

(0.0341)

  

(0.0567)

  

(0.0088)

  

(0.108)

 

Wage gap*Post

 

0.0651***

0.0568**

 

0.0552**

0.0698***

 

−0.0113

−0.0079

 

0.0190***

0.0152***

 

0.232***

0.272***

 

(0.0216)

(0.0213)

 

(0.0249)

(0.0254)

 

(0.0378)

(0.0334)

 

(0.0045)

(0.0033)

 

(0.0802)

(0.0635)

Individual Controls

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

District controls

Yes

No

Yes

Yes

No

Yes

Yes

No

Yes

Yes

No

Yes

Yes

No

Yes

Constant

0.978***

0.687***

0.636***

0.630***

0.810***

0.234***

0.778***

0.622***

0.411**

1.317***

1.083***

0.995***

1.380***

1.198***

1.137***

(0.0495)

(0.0865)

(0.0521)

(0.0830)

(0.0895)

(0.0693)

(0.0593)

(0.163)

(0.162)

(0.0661)

(0.170)

(0.107)

(0.0716)

(0.125)

(0.0950)

Observations

64,974

18,986

18,986

30,601

25,874

25,874

15,202

1,840

1,840

4,630

1,659

1,659

9,451

6,281

6,281

Number of districts

53

52

52

53

52

52

53

29

29

53

45

45

53

46

46

R-squared

0.383

0.368

0.419

0.333

0.274

0.318

0.309

0.103

0.231

0.393

0.040

0.20

0.251

0.138

0.204

F-statistic

476.49***

187.06***

302.46***

64.62***

208.25***

44.39***

90.37***

63.02***

154.70***

136.74***

7.45***

9.54***

179.39***

37.26***

85.91***

  1. Source: Data are from South African Labour Force Surveys (LFS) conducted by Statistics South Africa (15 waves September 2000 to September 2007).
  2. Notes: The dependent variable is the log of the real hourly wage for full-time workers (those individuals who report working a minimum of 27 hours per week). Sample includes non self-employed workers aged between 15 and 65 years inclusive. The sample includes non-government employment only. In the first specification the sample includes the treatment and the control group only, whilst in the second specification, the sample is restricted to the sector of interest only. Robust standard errors clustered by district council are shown in parentheses. *** p < 0.01, ** p < 0.05, * p < 0.1. Individual controls include controls for race, years of schooling and gender. The wage gap measures the proportional increase in the real wages of workers in district council i at time t-1 necessary to meet the minimum wage at time t. The F-statistic refers to the test for the null hypothesis that the regression coefficients are equal to zero, which is rejected at the 1 percent level.