Replication Data for: How Partisanship in Cities Influences Housing Policy

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de Benedictis-Kessner, Justin; Jones, Daniel; Warshaw, Christopher, 2023, "Replication Data for: How Partisanship in Cities Influences Housing Policy", https://doi.org/10.7910/DVN/TEPRY2, Harvard Dataverse, V1, UNF:6:EVJ7LQ5MMlRgcZpyFH8fNA== [fileUNF]

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Description	Housing policy is one of the most important areas of local politics. Yet little is known about how local legislatures and executives make housing policy decisions and how their elections shape policy in this important realm. We leverage housing policy data and a new data source of 15,621 city council elections and 3,261 mayoral elections in large cities in the United States and a regression discontinuity design to examine partisan divides in housing policy among the mass public as well as the impact of local leaders’ partisanship on housing policy. We provide robust evidence that electing mayors from different political parties shapes cities’ housing stock. Electing a Democrat as mayor leads to increased multifamily housing production. These effects are concentrated in cities where councils have less power over land use changes. Overall, our paper shows that politics influences local housing policy, and it contributes to a larger literature on local political economy.
Subject	Social Sciences
Keyword	Housing, Local politics, Partisanship, Representation, Elections
Related Publication	de Benedictis-Kessner, Justin, Daniel Jones, and Christopher Warsha. [date]. “How Partisanship in Cities Influences Housing Policy.” American Journal of Political Science Forthcoming. http://ajps.org/
Notes	This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.
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	00_readme.txt Plain Text - 7.9 KB Published Nov 20, 2023 197 Downloads MD5: aff128ea343c236578aaad53e40c240e Read-me file detailing the instructions for replication, describing all data files included in this replication archive, and listing data sources for each of the analysis datasets.	Preview "00_readme.txt" Access File File Access Public Download Options Plain Text Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	01-survey-analysis.R R Syntax - 3.0 KB Published Nov 20, 2023 151 Downloads MD5: fc7750a955fe42a7f244ae5a2fb3cd46	Preview "01-survey-analysis.R" Access File File Access Public Download Options R Syntax Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	02-data-subsetting-descriptives-mayors.R R Syntax - 25.3 KB Published Nov 20, 2023 149 Downloads MD5: b4422e791e715896dddd6a9ddb743323	Preview "02-data-subsetting-descriptives-mayors.R" Access File File Access Public Download Options R Syntax Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	03-rd-analysis-mayors.R R Syntax - 134.3 KB Published Nov 20, 2023 157 Downloads MD5: 41c830a96c3fcccf333d17c91c59b202	Preview "03-rd-analysis-mayors.R" Access File File Access Public Download Options R Syntax Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	04-did-analysis-mayors.R R Syntax - 26.7 KB Published Nov 20, 2023 145 Downloads MD5: f4eb5e2c39fa5417169fc0d7337a1348	Preview "04-did-analysis-mayors.R" Access File File Access Public Download Options R Syntax Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	05-data-subsetting-descriptives-councils.R R Syntax - 22.0 KB Published Nov 20, 2023 141 Downloads MD5: 953fa7582fbfa598e7c02e4cd5a4afb8	Preview "05-data-subsetting-descriptives-councils.R" Access File File Access Public Download Options R Syntax Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	06-rd-analysis-councils.R R Syntax - 158.4 KB Published Nov 20, 2023 144 Downloads MD5: 1d9f110e74caafa524667df80b7cebee	Preview "06-rd-analysis-councils.R" Access File File Access Public Download Options R Syntax Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
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Citation Metadata

Persistent Identifier	doi:10.7910/DVN/TEPRY2
Publication Date	2023-11-20
Title	Replication Data for: How Partisanship in Cities Influences Housing Policy
Author	Harvard University0000-0003-2751-379X Jones, DanielUniversity of Pittsburgh George Washington University0000-0002-2769-4028
Point of Contact	Use email button above to contact. de Benedictis-Kessner, Justin (Harvard University)
Description	Housing policy is one of the most important areas of local politics. Yet little is known about how local legislatures and executives make housing policy decisions and how their elections shape policy in this important realm. We leverage housing policy data and a new data source of 15,621 city council elections and 3,261 mayoral elections in large cities in the United States and a regression discontinuity design to examine partisan divides in housing policy among the mass public as well as the impact of local leaders’ partisanship on housing policy. We provide robust evidence that electing mayors from different political parties shapes cities’ housing stock. Electing a Democrat as mayor leads to increased multifamily housing production. These effects are concentrated in cities where councils have less power over land use changes. Overall, our paper shows that politics influences local housing policy, and it contributes to a larger literature on local political economy.
Subject	Social Sciences
Keyword	Housing Local politics Partisanship Representation Elections
Related Publication	de Benedictis-Kessner, Justin, Daniel Jones, and Christopher Warsha. [date]. “How Partisanship in Cities Influences Housing Policy.” American Journal of Political Science Forthcoming. http://ajps.org/
Notes	This dataset underwent an independent verification process that replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of code. The verification process was carried out by the Odum Institute for Research in Social The associated article has been awarded Open Materials and Open Data Badges. Learn more about the Open Practice Badges from the Center for Open Science.
Producer	de Benedictis-Kessner, Justin
Depositor	de Benedictis-Kessner, Justin
Deposit Date	2022-12-22
Data Source	U.S. Census BureauÕs [1980-2021] Building Permits Survey 1-year Place-level statistics. International City/County Management Association (ICMA). 1992-2018 Municipal Form of Government Surveys. Washington, DC: ICMA, 2019. https://bookstore.icma.org/municipal-form-of-government-2018-full-dataset-p73.aspx; https://bookstore.icma.org/municipal-form-of-government-2011-full-dataset-p9.aspx; https://bookstore.icma.org/municipal-form-of-government-2006-full-dataset-p72.aspx; https://bookstore.icma.org/municipal-form-of-government-2001-full-dataset-p71.aspx; https://bookstore.icma.org/municipal-form-of-government-1996-full-dataset-p70.aspx; https://bookstore.icma.org/municipal-form-of-government-1991-full-dataset-p69.aspx; https://bookstore.icma.org/municipal-form-of-government-1986-full-dataset-p68.aspx Gyourko, J., Hartley, J., & Krimmel, J. (2019). The Local Residential Land Use Regulatory Environment Across U.S. Housing Markets: Evidence from a New Wharton Index. (No. w26573). National Bureau of Economic Research. Gyourko, J., Saiz A., and Summers A. (2008). A New Measure of the Local Regulatory Environment for Housing Markets: The Wharton Residential Land Use Regulatory Index, Urban Studies, Vol. 45, Iss. 3, pp. 693-729. Bonica, Adam. 2016. Database on Ideology, Money in Politics, and Elections: Public version 2.0 [Computer file]. Stanford, CA: Stanford University Libraries. https://data.stanford.edu/dime Ferreira, Fernando, and Joseph Gyourko. 2009. ÒDo Political Parties Matter? Evidence from US Cities.Ó The Quarterly Journal of Economics 124(1): 399Ð422. Gerber, Elisabeth R, and Daniel J Hopkins. 2011. ÒWhen Mayors Matter: Estimating the Impact of Mayoral Partisanship on City Policy.Ó American Journal of Political Science 55(2): 326Ð339. Warshaw, Chris; Justin de Benedictis-Kessner, 2016, "Replication Data for: Mayoral Partisanship and Municipal Fiscal Policy", https://doi.org/10.7910/DVN/WSJX0X, Harvard Dataverse, V1, UNF:6:mfRsjxi7aHaRW8v1duoltA== [fileUNF]

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