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Table 1 Employment Equations for the Restaurant-and-Bar Sector, 1990–2005, Polynomial Detrending

From: On the robustness of minimum wage effects: geographically-disparate trends and job growth equations

  

Order of Polynomial for County-Specific Trends

 

No trends

1st

2nd

3rd

4th

5th

Log (minimum wage)

−0.101** (0.039)

−0.006 (0.033)

−0.051*** (0.014)

−0.041 (0.027)

−0.062* (0.033)

−0.046 (0.033)

Log (Average wage)

−0.139*** (0.048)

−0.129*** (0.036)

−0.116*** (0.032)

−0.097** (0.038)

−0.089** (0.040)

−0.079** (0.043)

Log (Total employment)

0.596*** (0.053)

0.770*** (0.061)

0.776*** (0.081)

0.824*** (0.097)

0.849*** (0.109)

0.869*** (0.120)

Unemployment Rate

−0.001 (0.002)

0.001 (0.002)

0.001 (0.001)

0.002 (0.001)

0.003* (0.002)

0.004** (0.002)

Log (Population)

0.327*** (0.101)

0.289*** (0.066)

0.247* (0.136)

0.241* (0.133)

0.226* (0.125)

0.326** (0.150)

  1. Notes: The dependent variable is the log of employment. The standard errors in parentheses are clustered at the state level. All regressions included fixed-effects for county and quarter. Regressions are weighted by the average population in the respective county. The sample size in all regressions is 116,800, for a balanced panel of 1,825 counties
  2. ***,**,* denote statistical significance at the 0.01, 0.05 and 0.10 levels, respectively