Table 4. OLS Regression model – Gender attitudes regarding access to jobs between men and women when jobs are scarce

	Model 1 (without interaction)		Model 2 (with interaction)
	Coefficient	Standard error	Coefficient	Standard error
Public employee	–0.008**	0.004	–0.017***	0.005
Gender Inequality Index	0.837***	0.018	0.826***	0.019
Woman	–0.091***	0.003	–0.091***	0.003
Age	0.001***	0.000	0.001***	0.000
Education	–0.071***	0.003	–0.071***	0.003
Town size	–0.011***	0.001	–0.011***	0.001
Ideology	0.008***	0.001	0.008***	0.001
Abortion	–0.015***	0.001	–0.015***	0.001
Americas	–0.014	0.016	–0.013	0.016
Asia Pacific	0.310***	0.016	0.311***	0.016
Europe Central Asia	0.332***	0.016	0.332***	0.016
Middle East & North Africa	0.549***	0.022	0.550***	0.022
Western Europe	0.164***	0.017	0.165***	0.017
Public Employee×Gender Inequality Index			0.049*	0.028
Constant	0.165***	0.020	0.168***	0.020
Number of observations	52,365		52,365
R2	0.265		0.265

OLS regression model with robust standard errors clustered by region.
Level of significance: p<0.10,
p<0.05,
p<0.01.
OLS, ordinary least squares.