International Organization (IO) is a leading peer-reviewed journal that covers the entire field of international affairs. The journal is continuously ranked among the top journals in the field.
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Plain Text - 3.1 KB - MD5: a080e6e952d21929a2cf4c7f5efdff6e
README for the replication package.
Tabular Data - 34.1 KB - 10 Variables, 397 Observations - UNF:6:Mk/loVyidC7s+lSVoqYNbA==
Legislative voting dataset for the German Reichstag.
Tabular Data - 130.2 KB - 7 Variables, 2913 Observations - UNF:6:ySKbGtEGpV7orkLWyW1lCw==
Municipal-level data set including 1903 tariff vote and 1910 PR vote.
Tabular Data - 52.6 KB - 15 Variables, 366 Observations - UNF:6:kufSY06cIiaNcjC1RCXs7A==
Two-period panel data set with district-level popular vote on PR in 1910 and 1918 and controls from population census.
Tabular Data - 129.8 KB - 58 Variables, 183 Observations - UNF:6:AQp8Wls83f4jMuOjT6762Q==
This is the main cross-sectional district-level dataset for Switzerland on popular votes (including tariff, electoral reform, others) with variables on district characteristics from population census (1900, 1910, 1920) and 1905 firm census.
Mar 24, 2025
Mattes, Michaela; Weeks, Jessica L. P., 2025, "Replication Data for: Apology Diplomacy: The International Image Effects of Interstate Apologies", https://doi.org/10.7910/DVN/YQ5KAH, Harvard Dataverse, V1, UNF:6:yn7Ilq292l/gObgTjeE4ow== [fileUNF]
These are the data and analysis files to support results reported in the manuscript and appendix of "Apology Diplomacy: The International Image Effects of Interstate Apologies."
Stata Syntax - 106.5 KB - MD5: d4f4950493092630fe6350d0157d7e87
Processes raw data to create variables and includes code for analyses in manuscript and appendix.
R Syntax - 31.7 KB - MD5: f501a88cab5231794287bf1f9b275faa
Code to create figures from the manuscript.
Adobe PDF - 77.0 KB - MD5: 0b262e935ce83b4c4523e62d97791aa9
Codebook that explains variables.
Tabular Data - 20.7 MB - 166 Variables, 7101 Observations - UNF:6:t9RsG1OXWlw/JAuYAjk1iw==
Raw data for Study 1.
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