Table 3 Name, definition, and descriptive statistics of meta-independent variables
From: Gender wage gap in European emerging markets: a meta-analytic perspective
Variable name | Definition | Descriptive statistics | ||
|---|---|---|---|---|
Mean | Median | S.D | ||
2007 and 2013 member | 1 = if the target country joined the EU either in 2007 or 2013, 0 = otherwise | 0.127 | 0 | 0.333 |
Membership candidate | 1 = if the target country is a candidate for EU membership, 0 = otherwise | 0.028 | 0 | 0.166 |
Nonmember | 1 = if the target country is a non-EU member state, 0 = otherwise | 0.449 | 0 | 0.498 |
Average estimation year | Average estimation year | 2001 | 2002 | 7.193 |
Urban region | 1 = if the target region is urban, 0 = otherwise | 0.110 | 0 | 0.314 |
Rural region | 1 = if the target region is rural, 0 = otherwise | 0.001 | 0 | 0.039 |
Young age | 1 = if the sample is limited to young workers, 0 = otherwise | 0.009 | 0 | 0.094 |
Middle age | 1 = if the sample is limited to middle-aged workers, 0 = otherwise | 0.012 | 0 | 0.109 |
Older age | 1 = if the sample is limited to older workers, 0 = otherwise | 0.009 | 0 | 0.094 |
State enterprise | 1 = if the target firm is a state enterprise, 0 = otherwise | 0.049 | 0 | 0.217 |
Private firm | 1 = if the target firm is a private firm, 0 = otherwise | 0.091 | 0 | 0.288 |
Annual | 1 = if annual wage is employed for empirical analysis, 0 = otherwise | 0.082 | 0 | 0.275 |
Weekly | 1 = if weekly wage is employed for empirical analysis, 0 = otherwise | 0.039 | 0 | 0.193 |
Hourly | 1 = if hourly wage is employed for empirical analysis, 0 = otherwise | 0.467 | 0 | 0.499 |
Panel data | 1 = if panel data is employed for empirical analysis, 0 = otherwise | 0.067 | 0 | 0.250 |
Original household survey | 1 = if the results of an original household survey are used as the data source, 0 = otherwise | 0.481 | 0 | 0.500 |
Non-OLS | 1 = if an estimator rather than OLS is used for estimation, 0 = otherwise | 0.118 | 0 | 0.323 |
IV/2SLS/3SLS | 1 = if IV, 2SLS, or 3SLS estimator is used for estimation, 0 = otherwise | 0.001 | 0 | 0.039 |
Control for selection bias | 1 = if the sample selection bias of employment is controlled for, 0 = otherwise | 0.031 | 0 | 0.174 |
Occupation | 1 = if the estimation simultaneously controls for occupation, 0 = otherwise | 0.351 | 0 | 0.478 |
Health | 1 = if the estimation simultaneously controls for the health of workers, 0 = otherwise | 0.012 | 0 | 0.109 |
Firm size | 1 = if the estimation simultaneously controls for the size of firms to which workers belong, 0 = otherwise | 0.354 | 0 | 0.478 |
Trade union | 1 = if the estimation simultaneously controls for the presence of trade unions, 0 = otherwise | 0.045 | 0 | 0.207 |
Location fixed effects | 1 = if the estimation simultaneously controls for location fixed effects, 0 = otherwise | 0.427 | 0 | 0.495 |
Industry fixed effects | 1 = if the estimation simultaneously controls for industry fixed effects, 0 = otherwise | 0.373 | 0 | 0.484 |
Time fixed effects | 1 = if the estimation simultaneously controls for time fixed effects, 0 = otherwise | 0.051 | 0 | 0.220 |
Quality level | 20-point scale of the quality level of the study | 16.233 | 18 | 3.839 |
SE | Standard error of partial correlation coefficient | 0.020 | 0.0183 | 0.017 |