Skip to main content

Table 4 Publication Bias

From: How elastic is labor demand? A meta-analysis for the German labor market

Dependent variable: Own-wage elasticity of labor demand

(1) WLS

(2) WLS

(3) WLS

(4) WLS

Standard error

− 1.562 (0.590)***

− 1.087 (0.812)

− 0.952 (0.571)*

− 2.249 (1.011)**

Standard error \(\times\) Reduced-form model

 

− 1.434 (1.258)

  

Standard error \(\times\) Overall hours

  

− 2.928 (1.223)**

 

Standard error \(\times\) Non-refereed article

   

1.382 (1.482)

Standard error \(\times\) Book or collection

   

1.388 (1.997)

Constant

9.117 (13.00)

10.04 (13.09)

7.884 (13.18)

18.49 (13.43)

Publication format fixed effects

No

No

No

Yes

Control variables

Yes

Yes

Yes

Yes

Estimator

WLS

WLS

WLS

WLS

Sample

Baseline

Baseline

Baseline

Baseline

Weight

Inverse Variance

Inverse Variance

Inverse Variance

Inverse Variance

Number of observations

442

442

442

442

Number of studies

73

73

73

73

Adjusted R\(^2\)

0.916

0.917

0.918

0.922

  1. The table shows meta-regressions for own-wage elasticities of labor demand from Germany. The results stem from augmented versions of the baseline regression model in Column (3) of Table 3, additionally controlling for (interactions of) the standard error of the elasticity estimate. The baseline sample refers to all estimates with reported or calculable standard errors. Standard errors (in parentheses) are clustered at the study level. WLS = Weighted Least Squares. * = p<0.10. ** = p<0.05. *** = p<0.01. Source: Own illustration