Table 1 Linear regression models predicting the peak unemployment rate in US cities during the Great Recession. Using 2007 employment data from the year before the recession, labor diversity measured through urban employment distributions (Hc), occupation diversity (Nc), and job connectivity (weff) predict labor responses to Great Recession. Variables were centered and standardized prior to analysis.

From: Universal resilience patterns in labor markets

Dependent variable: Peak unemployment Rate during the Great Recession

Variable

Model 1

Model 2

Model 3

Model 4

Model 5

\({\mathrm{log}\,}_{10}\) Total Employment (Tc)

 −0.175*

 

0.514

0.521

0.510

Job connectivity (\({w}_{{\rm{eff}}}^{c}\))

 

 −0.218**

 

 −3.952***

 −4.372***

Occupation diversity (Nc)

  

0.210

4.005***

4.559***

Employment diversity (Hc)

  

 −0.988***

 −0.833***

 −0.847***

\({w}_{{\rm{eff}}}^{c}\times {T}^{c}\)

    

 −0.344

\({w}_{{\rm{eff}}}^{c}\times {N}^{c}\)

    

0.039

\({w}_{{\rm{eff}}}^{c}\times {H}^{c}\)

    

0.267*

R2

0.031

0.047

0.190

0.234

0.262

adjusted R2

0.026

0.043

0.178

0.218

0.235

  1. pvalue < 0. 1*, pvalue < 0.01**, pvalue < 0.001***