Estimate the determinants of the change in total population in US counties over 2010-2019. Your sample consists of one hundred counties. 1. First, run linear regressions for the two models below.
I. ?̂ = ?0 + ?1?1 + ?2?2 + ?3?3 + ?4?4 + ?5?5
II. ?̂ = ?0 + ?1?1 + ?2?2 + ?3?3 + ?4?4 + ?5?5 + ?6?6 + ?7?7 + ?8?8
Dependent variables: The dependent variable is county growth in total population from 2010 to 2019. In the models, the dependent variable is 2019 ????? ???.−2010 ????? ???. 2010 ????? ???. .
Independent variables:
x1 = 1 if total 2010 county population is greater than 100,000 = 0 otherwise
x2 - mean winter temperature within the state.
x3 – percent of jobs within the county that are in manufacturing in 2010.
x4 – percent of adults over the age of 25 within the county with at least a Bachelor’s degree in 2010.
x5 – percent of county residents age 50 and over in 2010.
x6, x7, x8 represent dummy variables indicating the Census Region the county is in. Use the US Census to construct the population, education and age variables.
- Turn in your SAS regression output as well as the constructed variables used to run the regressions. Also turn in your SAS programs.
Sample Solution