Table 1.
Predicting age-specific shares currently married, spouse present in 1880 (number per 1,000 age-specific population, logged), county-level data by race for Southern states: Census data
| White | Black | Racial Diff. (W – B) Model 3 | |||||
|---|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 1 | Model 2 | Model 3 | ||
| Age 15–19 | |||||||
| % Tenant Farmed | −.0050 | −.0055 | −.0044 | .0244 | .0222 | .0177 | −.0220 |
| (.0020)* | (.0018)** | (.0018)* | (.0055)*** | (.0053)*** | (.0052)*** | (.0055)*** | |
| Age 20–29 | |||||||
| % Tenant Farmed | .0001 | .0002 | .0006 | .0052 | .0054 | .0040 | −.0034 |
| (.0013) | (.0011) | (.0011) | (.0027) | (.0026)* | (.0026) | (.0028) | |
| Age 30–39 | |||||||
| % Tenant Farmed | −.0055 | −.0043 | −.0037 | −.0008 | −.0009 | −.0020 | −.0017 |
| (.0009)*** | (.0008)*** | (.0008)*** | (.0014) | (.0013) | (.0014) | (.0016) | |
| Age 40–49 | |||||||
| % Tenant Farmed | −.0014 | −.0013 | −.0005 | .0046 | .0036 | .0038 | −.0043 |
| (.0007)* | (.0006)* | (.0006) | (.0016)** | (.0015)* | (.0016)* | (.0017)* | |
| Age 50+ | |||||||
| % Tenant Farmed | .0029 | .0013 | .0027 | .0125 | .0125 | .0106 | −.0079 |
| (.0014)* | (.0012) | (.0012)* | (.0034)*** | (.0032)*** | (.0033)** | (.0035)* | |
| County Covariates | Yes | Yes | Yes | Yes | Yes | ||
| State Fixed Effects | Yes | Yes | Yes | ||||
Notes: Standard errors, adjusted for spatial clustering with spatial autoregressive error, 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. The intercept is also included and suppressed from the output. Sample size varies by age, as some age-by-race-by-county cells are empty. N range = (1,251, 1,256) for white shares and (1,168, 1,229) for black shares.
*
p < .05;
**
p < .01;
***
p < .001 (two-tailed tests)