Table 2.

Regression results: using GOR as a proxy variable to predict gender inequality.

	constant	Log(GOR)	Log(GOR)2	Adj. R2	n
1. Gender Inequality Index, GII	–2.08	2.75*	–1.14*	0.78	139
Std. Error		0.19	0.12
t-Statistic		14.19	–9.62
2. Gender Development Index, GDI	–0.01	–0.16*	0.05*	0.31	138
Std. Error		0.03	0.02
t-Statistic		–4.93	2.36
3. Global Gender Gap Index, GGGI	–0.31	0.23*	0.13*	0.29	134
Std. Error		0.03	0.02
t-Statistic		–7.05	5.80
4. Gender Equity Index, GEI	–0.32	–0.99	0.51	0.05	143
Std. Error		0.26	0.19
t-Statistic		–3.80	2.76
5. Social Institutions and Gender Index, SIGI	–4.17	4.90*	–2.07*	0.56	102
Std. Error		0.65	0.33
t-Statistic		7.57	–6.24
6. Women’s Economic Opportunities Index, WEOI	–0.34	–0.85*	0.29*	0.65	118
Std. Error		0.08	0.06
t-Statistic		–10.76	5.07

Note: Estimated using White's coefficient covariance matrix.

^*= p < 0.01.