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Table 5 Difference-in-differences estimates for different subgroups (log. of total expenditure, 2006 and 2009)

From: Did tuition fees in Germany constrain students’ budgets? New evidence from a natural experiment

Sample

 

Pooled

Men

Women

  

Raw

With covariates

Raw

With covariates

Raw

With covariates

Total

Coeff.

−0.032**

−0.035***

−0.010

−0.018

−0.047***

−0.047***

S.E.

(0.013)

(0.013)

(0.021)

(0.020)

(0.017)

(0.016)

No. of obs.

25,361

25,361

10,445

10,445

14,916

14,916

Parents have no tertiary education

Coeff.

−0.021

−0.025

0.029

0.019

−0.056**

−0.057**

S.E.

(0.020)

(0.019)

(0.031)

(0.029)

(0.025)

(0.024)

No. of obs.

12,230

12,230

5095

5095

7135

7135

Parents have tertiary education

Coeff.

−0.041**

−0.042**

−0.042

−0.048*

−0.041*

−0.040*

S.E.

(0.018)

(0.017)

(0.029)

(0.028)

(0.023)

(0.022)

No. of obs.

13,051

13,051

5317

5317

7734

7734

Parents with low position in the job

Coeff.

−0.091**

−0.095**

−0.056

−0.069

−0.121**

−0.118**

S.E.

(0.040)

(0.039)

(0.064)

(0.063)

(0.052)

(0.049)

No. of obs.

2797

2797

1180

1180

1617

1617

Parents with high position in the job

Coeff.

−0.045**

−0.049***

−0.035

−0.046

−0.053**

−0.054**

S.E.

(0.019)

(0.018)

(0.030)

(0.029)

(0.025)

(0.024)

No. of obs.

12,815

12,815

5,300

5,300

7,515

7,515

  1. Note:Difference-in-differences estimates are displayed obtained from ordinary least squares estimations. The dependent variable is the logarithm of expenditure. Specification 1 includes only the difference-in-differences estimate, a dummy variable for the treatment group, and a dummy variable for 2009 (after the reform). Specification 2 controls for socio-demographic background variables (gender, citizenship, indicator for having siblings, age, age squared), studying time (in semesters), studying time squared, a dummy variable that indicates whether the student has completed an apprenticeship before studying, dummy variables for the parents’ position in their job, and dummy variables for federal states. Effects are calculated for different subgroups. * denotes statistical significance at the 10% level, ** at the 5% level and *** at the 1% level. See text for further details. Source: 18th and 19th Social Survey of the DZHW, own calculations