DOI: 10.7910/dvn/zceqps
title: Replication Data for: "Acute Financial Hardship and Voter Turnout: Theory and Evidence from the Sequence of Bank Working Days"

description: These are the replication files for the article “&lt;b&gt;Acute Financial Hardship and Voter Turnout: Theory and Evidence from the Sequence of Bank Working Days&lt;/b&gt;” by Max Schaub, forthcoming in the &lt;i&gt;American Political Science Review&lt;/i&gt;.
description: The code and files replicate all figures and tables from the main text and the appendix that rely on data from the Allbus, Forsa, ESS, Deutschland Trend, and German Elections dataset. The German Elections dataset was compiled by the author and is included in full. The other four data sources are available for academic research but have to be downloaded individually. In the case of the Deutschland Trend and the Forsa data, consent from the data producer needs to be acquired. Detailed instructions as to how to download and process the data are given below. 
Figures 14A to 17A in the appendix rely on confidential data from the Panel on Household Finances (PHF) and the Panel Study Labour Market and Social Security (PASS) that can only be accessed by agreement/on-site. Information on how to access the PHF data be found here, and on how to access the PASS data here. 
Figures 7A and 19A were produced with graphical and GIS software, and are not reproduced here either. 
The full documentation for the Allbus, Forsa, and ESS data can be found 
here, here, and here. 
In order to run the replication code, download the repository, set your working directory, and run the 'master.do' file. 
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<i>Instructions for download and setup:</i>
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<i>Allbus</i>
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Download the Allbus data here. Then extract the downloaded zip-archive, run the included do-file to make sure the encoding of missing data is consistent, and save as ‘Allbus_Cumulation_1980-2016.dta’ in the ‘raw’ folder.
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<i>ESS</i>
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Download rounds 1-8 for Germany by selecting them in the data wizard here. Save the file as ‘ESS1-8e01.dta’ and and place in the ‘raw’ folder.
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<i>Deutschland Trend</i>
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Downloading the files requires prior consent from the data producer. This can be obtained by sending an email to dataservices@gesis.org following the instructions here. Once downloaded, save the files for the years 2008 to 2018 (the years available when the analysis was conducted) in the ‘raw/DT/’ folder. The 'master.do' file will execute the file ‘dt_cumulative.do’ to generate the cumulative file ‘DT.dta’ to be used in further analyses.
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<i>Forsa</i>
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Downloading the files requires prior consent from the data producer. This can be obtained by sending an email to dataservices@gesis.org following the instructions here. The analysis uses data from the years 1991 to 2015 that were available at the time the original analysis was conducted. Once downloaded, name the individual files according to the format ‘Forsa-Bus ‘year’.dta’, where ‘year’ stands for the year of the cumulation. For example, the Forsa cumulative file for 2014 should be named ‘Forsa-Bus 2014.’ Place the files in the ‘raw/Forsa/’ folder. The file ‘forsa_cumulative.do’, which is executed by the 'master.do' file, will generate the cumulative file ‘rforsabus1991to2015.dta’ to be used in further analyses.