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. Author manuscript; available in PMC: 2017 Jun 27.
Published in final edited form as: Demogr Res. 2016 Sep 27;35:891–928. doi: 10.4054/DemRes.2016.35.30

Table 4.

Estimates of Regression Models Predicting Recession-Related Change in County Unemployment (2006–2009)

Variable No state fixed effects W/state fixed effects
β SE β SE
Unemployment rate, 2006 −0.039 0.022 ˆ   0.056 0.029 ˆ
% Non-Hispanic black   0.011 0.003 ***   0.018 0.003 ***
% Hispanic   0.009 0.004 *   0.016 0.005 **
% Foreign-born   0.047 0.010 *** −0.003 0.011
% No high school diploma −0.013 0.006 *   0.020 0.008 *
% Bachelors degree+ −0.053 0.007 *** −0.017 0.008 *
% Workers agriculture, forestry, fishing, hunting, mining −0.026 0.006 *** −0.024 0.007 ***
% Workers construction   0.078 0.016 ***   0.104 0.017 ***
% Workers education, health, social services −0.006 0.009 −0.011 0.009
% Workers manufacturing   0.035 0.006 ***   0.071 0.006 ***
Oil and gas production, 2006 (yes) −0.047 0.067 −0.049 0.085
Metropolitan Status (Large metropolitan [1 million+ population]=ref)
 Small/medium metropolitan (250,000–1 million pop) −0.231 0.094 * −0.266 0.092 **
 Large nonmetropolitan, adjacent to metropolitan   0.307 0.137 *   0.163 0.133
 Large nonmetropolitan, not adjacent to metropolitan −0.311 0.193 −0.222 0.188
 Rural, adjacent to metropolitan   0.239 0.102 *   0.121 0.099
 Rural, not adjacent to metropolitan −0.020 0.101 −0.035 0.100
Spatial lag   0.727 0.014 ***   0.508 0.019 ***
Intercept   1.657 0.409 ***   2.180 0.516 ***

N 3097 3097
Psuedo R-squared 0.614 0.652
P > Likelihood ratio vs. null 1650.55*** 533.11***
ˆ

p<0.10

*

p<0.05

**

p<0.01

***

p<0.001