Increasing pressure on US men for income in order to find a spouse

Figures & data

Table 1. Ever married (0 = never married, 1 = ever married) among men, regressed on total income, education, home ownership, and sex ratio, based on a binomial error structure and with year of birth and race as random factors.

	Estimate	Std. Error	t-value	DF	P	% of the variance explained
Intercept	5.4362	1.5642	2569770	3.4753	0.0005
Total income	0.6072	0.0061	2569770	99.325	P < 0.001	6.2
Education	0.0072	0.0036	2569770	2.0025	0.0452	0.54
Owned yes (ref. no)	0.7539	0.0065	2569770	116.6442	P < 0.001	0.99
Sex Ratio	−0.0755	0.032	598	−2.3609	0.0185	0.21
Random		Intercept	Residual
Birth Year	StdDev:	0.58	1.27			2.3
Race	StdDev:	0.33	1.02			0.52
Sum Random Factors						2.82

Table 2. Ever married (0= never married, 1= ever married) among women, regressed on total income, education, home ownership, and sex ratio based on a binomial error structure and with year of birth and race as random factors.

	Estimate	Std. Error	t-value	DF	P	% of the variance explained
Intercept	4.1208	1.2091	3.4082	2741653	0.0007
Total income	−0.081	0.002	−39.9279	2741653	P < 0.001	0.042
Education	−0.2009	0.0029	−69.1742	2741653	P < 0.001	0.19
Owned yes (ref. No)	0.8988	0.0054	165.3775	2741653	P < 0.001	0.59
Sex Ratio	−0.0455	0.0247	−1.8391	592	0.0664	0.091
Random		Intercept	Residual
Birth Year	StdDev:	0.2889	1.0001			0.87
Race	StdDev:	0.3336	1.0042			1.80
Sum Random Factors						2.67

Figure 1. Percentage of never-married individuals by birth year cohort. Blue line for men, red line for women.

Figure 2. a) Men: Time series of the variance of ever married explained by total income (in %) by birth year cohort. b) Time series of the corresponding regression estimates. Original time series (black line) and loess smoother with confidence intervals.

Figure 3. 3a) Men: Time series of the variance of ever married explained by education (in %) by birth year cohort. b) Time series of the corresponding regression estimates. Original time series (black line), loess smoother with confidence intervals.

Figure 4. a) Men: Time series of the variance of ever-married explained by homeownership (in %) by birth year cohort. b) Time series of the corresponding regression estimates. Original time series (black line), loess smoother with confidence intervals. Data are missing for the birth years 1893–1913.

Figure 5. a) Women: Time series of the variance of ever married explained by income (in %) by birth year cohort. b) Time series of the corresponding regression estimates. Original time series (black line), loess smoother with confidence intervals.

Figure 6. a) Women: Time series of the variance of ever married explained by education (in %) by birth year cohort. b) Time series of the corresponding regression estimates. Original time series (black line), loess smoother with confidence intervals.

Figure 7. a) Women: Time series of the variance of ever married explained by home ownership (in %) by birth year cohort. b) Time series of the corresponding regression estimates. Original time series (black line), loess smoother with confidence intervals. Data are missing for birth years 1893–1913.