Data and Code for: Partisan Fertility and Presidential Elections
Principal Investigator(s): View help for Principal Investigator(s) Gordon B. Dahl, University of California-San Diego; Runjing Lu, University of Alberta; William Mullins, University of California-San Diego
Version: View help for Version V1
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Project Description
Summary:
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Changes in political leadership drive sharp changes in public policy and partisan beliefs about the future. We exploit the surprise 2016 election of Trump to identify the effects of a shift in political power on one of the most consequential household decisions: whether to have a child. Republican-leaning counties experience a sharp and persistent increase in fertility relative to Democratic counties, a shift amounting to 1.2 to 2.2% of the national fertility rate. In addition, Hispanics see fertility fall relative to non-Hispanics, especially compared to rural or evangelical whites.
Scope of Project
Subject Terms:
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Fertility;
Partisanship;
Elections
JEL Classification:
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D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
J13 Fertility; Family Planning; Child Care; Children; Youth
D72 Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
J13 Fertility; Family Planning; Child Care; Children; Youth
Geographic Coverage:
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United States
Universe:
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Births between 1994 and 2019 in the United States
Data Type(s):
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aggregate data;
observational data;
program source code
Methodology
Data Source:
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Association of Religion Data Archives. “Religious Congregations and Membership Study, 2000 (Counties File).” Accessed April 25, 2021. https://www.thearda.com/Archive/Files/Downloads/RCMSCY_DL2.asp.
Association of Religion Data Archives. “U.S. Religion Census: Religious Congregations and Membership Study, 2010 (County File).” Accessed April 25, 2021. https://www.thearda.com/Archive/Files/Descriptions/RCMSCY10.asp.
Autor, David, David Dorn, Gordon Hanson, and Kaveh Majlesi. 2020. "Importing Political Polarization? The Electoral Consequences of Rising Trade Exposure." American Economic Review, 110 (10): 3139-83.
CIVIQS. “National Economy: Direction.” Accessed August 18, 2021. https://civiqs.com/results/economy_us_direction?uncertainty=true&annotations=true&zoomIn=false&net=t....
Dave Leip. “Dave Leip's Atlas of U.S. Presidential Elections.” Accessed July 16, 2019. https://uselectionatlas.org/.
Google Trends. https://trends.google.com/trends/
MCDC Data Applications. “Geocorr 2000: Geographic Correspondence Engine.” Accessed July 16, 2019. http://mcdc.missouri.edu/applications/geocorr2000.html.
MIT Election Data + Science Lab. “County Presidential Election Returns 2000-2020.” Harvard Dataverse, V9, UNF:6:qSwUYo7FKxI6vd/3Xev2Ng== [fileUNF]. Accessed July 16, 2019. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ.
National Journal. “Trump campaign visits.” Accessed August 13, 2019. http://traveltracker.nationaljournal.com/.
NCHS. 1994–2019. “U.S. restricted-Use Natality Data.” National Vital Statistics System. Accessed May 28, 2019 and May 17, 2021. https://www.cdc.gov/nchs/nvss/nvss-restricted-data.htm
U.S. Bureau of Labor Statistics. “County unemployment rate.” Accessed June 25, 2019. https://download.bls.gov/pub/time.series/la/.
U.S. Bureau of Economic Analysis. “CAINC1: Annual Personal Income by County.” Accessed April 17, 2021. https://apps.bea.gov/regional/downloadzip.cfm.
U.S. Census Bureau. “Annual County Resident Population Estimates by Age, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2019 (CC-EST2019-ALLDATA).” Accessed July 22, 2019. https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-detail.html?#.
U.S. Census Bureau. “US Intercensal County Population Data by Age, Sex, Race, and Hispanic Origin.” Accessed July 22, 2019. https://www.nber.org/research/data/us-intercensal-county-population-data-age-sex-race-and-hispanic-o....
U.S. Census Bureau. “Sex By Educational Attainment For The Population 25 Years And Over (White Alone, Not Hispanic Or Latino).” Accessed November 30, 2020. https://data.census.gov/cedsci/table?q=Table%20C15002H&tid=ACSDT1Y2019.C15002H.
U.S. Census Bureau. “Sex By Educational Attainment For The Population 25 Years And Over (Black Or African American Alone).” Accessed November 30, 2020. https://data.census.gov/cedsci/table?q=Table%20C15002B.
U.S. Census Bureau. “Sex By Educational Attainment For The Population 25 Years And Over (Hispanic Or Latino).” Accessed November 30, 2020. https://data.census.gov/cedsci/table?q=Table%20C15002I.
U.S. Census Bureau. “Sex By Educational Attainment For The Population 25 Years And Over.” Accessed November 30, 2020. https://data.census.gov/cedsci/table?q=Table%20B15002.
U.S. Census Bureau. “Percent Urban and Rural In 2010 by State and County.” Accessed September 3, 2020. https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.ht.... Census Bureau. “Percent Urban and Rural In 2010 by State and County.” Accessed September 3, 2020. https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.ht....
Unit(s) of Observation:
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County
Geographic Unit:
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County
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