The replication data contain all files necessary to replicate the empirical analyses and robustness checks presented in "Multiple Measurements, Elusive Agreement, and Unstable Outcomes in the Study of Regime Change" (Hans Lueders & Ellen Lust): (1) R code file (FH_Polity permutations.R) that computes the number of permutations of Freedom House and Polity subscores, plus the Freedom House (FH_subscores_all years.csv) and Polity data (politydata.csv) required to compute the number of permutations that occur. (2) The regime type dataset used to code regime change (LuedersLust2017_regimetypedata.dta). (3) A STATA do-file that creates indicators of regime change and conducts all analyses reported in the paper and appendix (LuedersLust2017_replication.do). (4) A STATA do-file that conducts the robustness checks of nine published studies of regime change (LuedersLust2017_replication_robustnesschecks.do). (5) The replication data of these nine studies, to which we added the regime change indicators. We obtained permission from the authors of all studies to share their data (nine .dta files).

The zip files contain several files with wills from Mexico between 1810 and 1910 collected in order to measure Mexican wealth distribution in its first century of independence. The main file is wills_clean.xlsx, which contains the full collection of wills; in that file, you will find variables for year, state, and wealth, not excluding debts, debts and wealth (net wealth). You can combine this file with the do file cleaningroutine_for_social_tables to produce the detailed social tables.

The rest of the files consist of data files with the social tables (for comparison) and xlsx files with the wills from the main file divided by decade to facilitate calculations using the do file inequality_analysis_ routine_clean.do from which you will be able to reproduce the rest of the analysis (unbalanced sample and generalized beta, lognormal, etc.)

Note: The calculation programs are .do files; thus, they require stata to be executed. Some of the detailed social tables are dta files, and thus also stata files. You can open them in R and work with them or convert them to any other data format.

The wills come from 5 different Mexican archives: Archivo Histórico de Notarias de la Ciudad de México, Archivo General del Estado de Yucatán, Archivo Municipal de Saltillo, Archivo Histórico de la Ciudad de Morelia and, Testamentos del Colegio de Sonora.

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2023. The next wave of the CEV will be administered in September 2025. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. Click on "Export" to download and review an excerpt from the 2023 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2023 CEV data and resources provided as attachments: 1) 2023 CEV Dataset Fact Sheet – brief summary of technical aspects of the 2023 CEV dataset. 2) CEV FAQs – answers to frequently asked technical questions about the CEV 3) Constructs and measures in the CEV 4) 2023 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. These files were updated on January 16, 2025 to correct erroneous missing values for the ssupwgt variable. 5) 2023 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 6) 2023 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

The Current Population Survey Civic Engagement and Volunteering (CEV) Supplement is the most robust longitudinal survey about volunteerism and other forms of civic engagement in the United States. Produced by AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the pulse of our nation’s civic health every two years. The data on this page was collected in September 2017. The CEV can generate reliable estimates at the national level, within states and the District of Columbia, and in the largest twelve Metropolitan Statistical Areas to support evidence-based decision making and efforts to understand how people make a difference in communities across the country. This page was updated on January 16, 2025 to ensure consistency across all waves of CEV data. Click on "Export" to download and review an excerpt from the 2017 CEV Analytic Codebook that shows the variables available in the analytic CEV datasets produced by AmeriCorps. Click on "Show More" to download and review the following 2017 CEV data and resources provided as attachments: 1) CEV FAQs – answers to frequently asked technical questions about the CEV 2) Constructs and measures in the CEV 3) 2017 CEV Analytic Data and Setup Files – analytic dataset in Stata (.dta), R (.rdata), SPSS (.sav), and Excel (.csv) formats, codebook for analytic dataset, and Stata code (.do) to convert raw dataset to analytic formatting produced by AmeriCorps. 4) 2017 CEV Technical Documentation – codebook for raw dataset and full supplement documentation produced by U.S. Census Bureau 5) 2017 CEV Raw Data and Read In Files – raw dataset in Stata (.dta) format, Stata code (.do) and dictionary file (.dct) to read ASCII dataset (.dat) into Stata using layout files (.lis)

Understanding Society, (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER) at the University of Essex and the survey research organisations Verian Group (formerly Kantar Public) and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. The Understanding Society: Longitudinal Teaching Dataset, Waves 1-9, 2009-2018 is a teaching resource using data from Understanding Society, the UK Household Longitudinal Study, which interviews individuals in the sampled households every year. There are two target audiences – 1) lecturers who would like to use the data file provided for longitudinal methods teaching purposes, and 2) data users who are new to using longitudinal data and can get a better understanding of using longitudinal data by using the supplied analysis guidance which utilizes the data file. The statistical software used to construct the dataset is Stata and the analysis guidance provided is accompanied by Stata syntax only. The datafile is also available to download in SPSS and tab-delimited text formats. The User Guide includes guidance on how to convert the datafile in Stata format to R. A second teaching resource using the Understanding Society survey is also available, see SN 8465, Understanding Society: Ethnicity and Health Teaching Dataset. For information on the main Understanding Society study, see SN 6614, Understanding Society and Harmonised BHPS.

This study covers topics such as socio-demographic characteristics, education and labour market information, residential information, income, health and wellbeing, political behaviour and opinions, environmental attitudes and behaviours.