Veteran social identity, partisanship, and political behavior

ELECTORAL LANDSLIDE? MORE LIKE ELECTORAL WILDFIRE: An Econometric Difference in Difference Analysis of Colorado Wildfires Impact on U.S. Congressional Elections

“…This study finds that a congressional democratic candidate's vote share within a voter precinct which was located within the Junkins Wildfire burn scar have a However, when looking towards the outcomes of the control variables in this analysis we are able to report findings that are consistent with previous studies. This analysis of directly affected voter precincts finds that voter precincts with a higher percentage of veterans will result in a lower vote share for a Democratic candidate and a higher voter share for a Republican candidate, which supports previous studies on the veteran voter behavior (Endicott, 2023;Foy, 2018;Robinson, 2020). The results also support previous research which found that democratic candidate vote shares decreasing in areas with larger white communities and areas of higher median household income (Agadjanian, 2021;Knuckey, 2020;Fording, 2023).…”

“…Military history is measured by calculating the percentage of the population over 18 who identify as military veterans. The model uses veteran identity as a control variable because veterans tend to vote for republican candidates (Endicott, 2023;Foy, 2018;Robinson, 2020). Including veteran demographics in the model allows this study to minimize possible variance within democratic candidate vote shares due to higher or lower numbers of veterans residing in certain voter precincts.…”