Table 4.

Logistic regression coefficients predicting individual-level transitions from unmarried to married between 1870 and 1880 using county-level data by race. Southern states, men unmarried in 1870 and aged 18 and older in 1880: Census data

	White			Black			Racial Diff .
	Model 1	Model 2	Model 3	Model 1	Model 2	Model 3	(W – B) Model 1	(W – B) Model 2	(W – B) Model 3
% Tenant Farmed	−.0033	−.0061	−.0055	.0097	.0156	.0151	−.0130	−.0217	−.0206
	(.0037)	(.0043)	(.0036)	(.0046)*	(.0050)**	(.0050)**	(.0056)*	(.0063)***	(.0068)**
Individual Covariates		Yes	Yes		Yes	Yes		Yes	Yes
County Covariates			Yes			Yes			Yes
Pseudo-R2							.0108	.2106	.2119
NIndividuals	2,336	2,336	2,336	773	773	773	3,109	3,109	3,109
NCounties	844	844	844	427	427	427	955	955	955

Notes: Standard errors, clustered by county, are shown in parentheses. County covariates are race-specific and include female-to-male population ratios for ages 15–19, 20–29, 30–39, 40–49, and 50+, plus population density. Individual-level covariates include 1870 age, age squared, and Duncan SEI, as well as dummy variables for illiteracy, farm residence, and foreign-born. The intercept is also included and suppressed from the output. The pseudo-R² is reported only in the racial difference columns because the black and white coefficients as well as their difference are jointly estimated in models with interactions.

^*p < .05;

^**p < .01;

^***p < .001 (two-tailed tests)