five

Replication Data for: Consolidating Progress: The Selection of Female Ministers in Autocracies and Democracies

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NIAID Data Ecosystem2026-05-01 收录
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https://doi.org/10.7910/DVN/I9E6EX
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Enclosed are all the replication material for Consolidating Progress: The Selection of Female Ministers in Autocracies and Democracies We are using R to conduct the analyses in the paper. Four files are needed to repliate the analysis, one data file and three r-scripts. Below we briefly go through each script. The dataset is found in "df_consolidatingprogress.csv". We only use this dataset in the analysis, and there are no other datasets. All variables are gathered from publicly available datasets and we discuss each in detail in Appendix B. The script which merges these datasets is not public, but please contact the authors if you are interested in this script. The first part of the analysis is found in "1_descriptive_analysis.R". This is the script which replicates Figure 1 and Figure 2. The second part of the analysis is found in 2_analysis.R". This is the script which replicates Figure 3, Table 2, Figure 4, Figure 5, and Figure 6. The script which replicates the appendix is found in "3_appendix.R". This file creates all figures and tables found in the appendix. In addition to these files, we have also uploaded 0_createdata which cleans, transforms, merges, and otherwise process the data prior to the analysis. The original datasets have also been uploaded. These are: 1_WhoGov_within_V2.0.xlsx 2_WhoGov_crosssectional_V2.0.xlsx 3_vdem_V12.xlsx 4_bmr_V4_edited.xlsx 5_bjornskovrode_V4.2.xlsx 6_polityiv.rds 7_autocraciesoftheworld.xlsx 8_pwt_v10.0.xlsx 9_qog_std_ts_jan22 10_qog_std_cs_jan22.xlsx 11_wb.xlsx

随函附上《巩固进程:威权与民主政体中女性部长的遴选》一文的全部复现材料。本文的分析均通过R语言完成,复现该分析共需四份文件:一份数据文件与三份R脚本。下文将逐一简要介绍各脚本。本次分析使用的数据集存储于`df_consolidatingprogress.csv`文件中,本次分析未使用其他数据集。所有变量均取自公开可用数据集,我们已于附录B中对各变量进行了详细说明。用于合并上述数据集的脚本未对外公开,若您希望获取该脚本,可联系本文作者。分析的第一部分对应脚本`1_descriptive_analysis.R`,该脚本可复现图1与图2。分析的第二部分对应脚本`2_analysis.R`,该脚本可复现图3、表2、图4、图5及图6。用于复现附录内容的脚本为`3_appendix.R`,该文件可生成附录中的全部图表与表格。除上述文件外,我们还上传了`0_createdata`脚本,该脚本用于在分析前对数据进行清洗、转换、合并及其他预处理操作。原始数据集亦已同步上传,具体如下: 1_WhoGov_within_V2.0.xlsx 2_WhoGov_crosssectional_V2.0.xlsx 3_vdem_V12.xlsx 4_bmr_V4_edited.xlsx 5_bjornskovrode_V4.2.xlsx 6_polityiv.rds 7_autocraciesoftheworld.xlsx 8_pwt_v10.0.xlsx 9_qog_std_ts_jan22 10_qog_std_cs_jan22.xlsx 11_wb.xlsx
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2023-07-24
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