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Table 11 Estimates according to workers’ age (threshold = 40 yearsa), four educational categories

From: Does education raise productivity and wages equally? The moderating role of age and gender

 

GMM-SYS

LP

Value added per hour worked (ln)

Wage cost per hour worked (ln)

Value added-wage cost gapc

Value added per hour worked (ln)

(1)

(2)

(3)

(4)

Lagged dependent variable (ln)

0.666***

(0.055)

0.477***

(0.136)

0.616***

(0.045)

0.787***

(0.043)

Shares of workers

 Young & primary education (YE1)

−0.165***

(0.062)

−0.060

(0.042)

−0.096**

(0.044)

−0.021

(0.030)

 Older & primary education (OE1)

0.044

(0.060)

0.054

(0.042)

−0.025

(0.052)

−0.038

(0.033)

 Young & lower or upper secondary education (YE234)

Reference

Reference

Reference

Reference

 Older & lower or upper secondary education (OE234)

−0.027

(0.047)

0.006

(0.032)

−0.050

(0.042)

−0.029

(0.027)

 Young & Bachelor’s or equivalent degree (YE5)

0.130**

(0.063)

0.057

(0.047)

0.074*

(0.045)

0.060*

(0.032)

 Older & Bachelor’s or equivalent degree (OE5)

−0.045

(0.081)

0.073

(0.071)

−0.050

(0.061)

−0.003

(0.036)

 Young & Master’s or equivalent degree or beyond (YE67)

0.124

(0.078)

0.132*

(0.075)

0.072

(0.049)

0.201***

(0.046)

 Older & Master’s or equivalent degree or beyond (OE67)

0.188**

(0.087)

0.421***

(0.123)

−0.006

(0.071)

0.137**

(0.061)

Hansen over-identification test, p value

0.474

0.402

0.606

 

Arellano-Bond test for AR(2), p value

0.124

0.287

0.217

 

Number of observations

6714

6714

6714

6691

Number of firms

1844

1844

1844

1844

Chi-squared statistic for equality of regression coefficients, H0

 YE1 = OE1

4.19**

2.65*

0.82

0.10

 YE1 = OE234

3.83*

2.26

0.64

0.04

 YE1 = YE5

13.53***

3.46*

8.12***

2.78*

 YE1 = OE5

1.46

2.28

0.38

0.12

 YE1 = YE67

7.92***

4.21*

7.09***

15.52***

 YE1 = OE67

9.93***

10.71***

1.05

4.85**

 OE1 = OE231

1.92

1.29

0.38

0.16

 OE1 = YE5

1.04

0.00

2.19

5.11**

 OE1 = OE5

1.12

0.08

0.17

1.07

 OE1 = YE67

0.84

1.25

1.98

19.38***

 OE1 = OE67

2.27

10.51***

0.06

7.98***

 OE234 = YE5

4.83**

1.12

5.02**

4.71**

 OE234 = OE5

0.06

0.87

0.00

0.62

 OE234 = YE67

3.12*

2.77*

4.05**

20.36***

 OE234 = OE67

5.37**

9.93***

0.34

7.62***

 YE5 = OE5

2.83*

0.04

2.47

1.60

 YE5 = YE67

0.00

1.01

0.00

8.46***

 YE5 = OE67

0.28

9.51***

0.78

2.08

 OE5 = YE67

2.90*

0.60

2.93*

13.28***

 OE5 = OE67

5.09**

11.73***

0.29

4.63**

 YE67 = OE67

0.30

6.82***

0.71

0.91

Interpretationb

    

a) a) Among young workers

YE1 < YE234

YE234 < YE5

YE1 < YE5

YE1 < YE67

but

YE234 = YE67

YE5 = YE67

YE1 < YE5

YE1 < YE67

YE234 < YE67

but

YE1 = YE234

YE234 = YE5

YE5 = YE67

YE1 < YE234

YE1 < YE5

YE1 < YE67

YE234 < YE5

but

YE234 = YE67

YE5 = YE67

YE234 < YE5

YE5 < YE67

YE1 < YE5

YE1 < YE67

YE234 < YE67

but

YE1 = YE234

Education increases productivity significantly

High-educated significantly more costly

Education increases profits significantly

Education increases productivity significantly

a) b) Among older workers

OE5 < OE67

OE234 < OE67

but

OE1 = OE67

OE1 = OE234

OE234 = OE5

OE5 < OE67

OE1 < OE67

OE234 < OE67

but

OE1 = OE234

OE234 = OE5

OE1 = OE5

OE1 = OE234

OE1 = OE5

OE1 = OE67

OE234 = OE5

OE234 = OE67

OE5 = OE67

OE5 < OE67

OE1 < OE67

OE234 < OE67

but

OE1 = OE234

OE234 = OE5

OE1 = OE5

High-educated workers significantly more productive

High-educated workers significantly more costly

Education has no significant effect on profitability

High-educated workers significantly more productive

  1. Notes: Standard errors, that are robust to heteroskedasticity and autocorrelation, are reported between parentheses. Regressions also control for: % of workers with 10 years of tenure or more; % workers younger than 30 and older than 49 years, respectively; % women; % part-time workers; % blue-collar workers; % workers with fixed term employment contract; % apprentices; % temporary agency workers; ln of firm size; ln of capital stock per worker; level of collective wage bargaining; region where the firm is located (2 dummies); industries (8 dummies), and years dummies (11). AR (2) refers to second-order autocorrelation in first-differenced errors. GMM-SYS specifications include first and second lags of explanatory variables (except time dummies) as instruments
  2. ***p < 0.01, **p < 0.05, *p < 0.1
  3. a Young (older) workers are defined as being less than (at least) 40 years old
  4. b ‘<’ (‘=’) indicates if regression coefficients are (not) statistically different at the 10% level
  5. c Value added-wage cost gap = ln(value added per hour) − ln(wage cost per hour)