Business & Economics
Age Bias in Unemployment: A Regression Analysis
Document Type
Oral Presentation
Location
Indianapolis, IN
Subject Area
Business & Economics
Start Date
11-4-2014 1:30 PM
End Date
11-4-2014 2:45 PM
Sponsor
Sreenath Majumder (Manchester University)
Description
Most studies that look at the effects of demographic characteristics on the unemployment rate in the United States generally focus on race, sex, and educational attainment as primary explanatory variables. In this paper I extend this research by investigating the impact of age on the unemployment rate. Using U.S. county-level data for 2010, I employ multiple regression techniques to test the hypothesis that the unemployment rate is negatively correlated with age. After controlling for race, sex, educational attainment, income, size of the labor force and unobserved state-fixed effects, my results indicate that age has a statistically significant negative impact on the unemployment rate.
Age Bias in Unemployment: A Regression Analysis
Indianapolis, IN
Most studies that look at the effects of demographic characteristics on the unemployment rate in the United States generally focus on race, sex, and educational attainment as primary explanatory variables. In this paper I extend this research by investigating the impact of age on the unemployment rate. Using U.S. county-level data for 2010, I employ multiple regression techniques to test the hypothesis that the unemployment rate is negatively correlated with age. After controlling for race, sex, educational attainment, income, size of the labor force and unobserved state-fixed effects, my results indicate that age has a statistically significant negative impact on the unemployment rate.