Presidential Voting and the Local Economy: Evidence from Two Population-Based Data Sets
| Autor: | Gabriel S. Lenz, Andrew Healy |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
021110 strategic
defence & security studies education.field_of_study Sociology and Political Science Public economics Presidential election Presidential system media_common.quotation_subject 05 social sciences Population 0211 other engineering and technologies Contrast (statistics) Sample (statistics) 02 engineering and technology Public administration Census 0506 political science Incentive Voting 050602 political science & public administration Economics education media_common |
| Zdroj: | The Journal of Politics. 79:1419-1432 |
| ISSN: | 1468-2508 0022-3816 |
| DOI: | 10.1086/692785 |
| Popis: | We show that standard economic measures based on samples and richer newly available ones based on populations lead to different conclusions about democratic accountability. Previous research, which has primarily relied on sample-based measures, has mostly missed an important determinant of presidential election outcomes: the local economy. We detect the local economy’s impact with two unique data sets, one of which includes data on all consumer loans made in California and the other a census of businesses. In contrast to measures subject to sampling error, these population-based measures indicate that economic conditions at the ZIP code and county level have an impact on presidential election outcomes. Presidents therefore face incentives to focus on electorally important geographic regions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |