Replication package for "When Culture Meets Policy: How Individualism Shapes Government Financial Assistance in Times of Crisis"
Description
REPLICATION PACKAGE “When Culture Meets Policy: How Individualism Shapes Government Financial Assistance in Times of Crisis” Authors: Ioana Georgiana Farcaș, Zbigniew Korzeb, Simona Nistor This replication package contains the data and Stata code required to reproduce the empirical figures, tables, and appendix results reported in the paper. It includes both the analysis-ready datasets used in the estimations and the raw source-data files used to construct them. The package uses two main analysis datasets: 1. Panel data (4).dta — quarterly country-level panel dataset. 2. Cross-sectional data (4).dta — country-level cross-sectional dataset. The raw data are organized in two folders: 1. raw_data/panel_quarterly/ — raw files used to construct the quarterly panel dataset. 2. raw_data/cross_sectional/ — raw files used to construct the annual/cross-sectional dataset. Each raw-data folder includes a dedicated Stata do-file that merges the raw source files, harmonizes country-year or country-quarter identifiers, constructs the required variables, and produces the corresponding analysis-ready dataset. The folder code_data_management/ contains the central scripts used to rebuild both datasets from the raw files. Government financial assistance commitments are based on the IMF Fiscal Monitor Database of Country Fiscal Measures in Response to the COVID-19 Pandemic, following Kirti et al. (2022). Cultural variables are based primarily on Hofstede’s individualism index, with alternatives from the GLOBE Project and Minkov and Kaasa (2022). Macroeconomic, institutional, political, and COVID-19 controls are drawn from the World Bank, Trading Economics, Oxford COVID-19 Government Response Tracker, Economist Intelligence Unit, V-Dem, Romelli (2022), CPDS, Fincher et al. (2008), Davis and Abdurazokzoda (2016), and other sources documented in the README and variable-definition files. The Stata code is organized into three components: 1. Data management: rebuilds the panel and cross-sectional datasets from raw source files. 2. Figures and descriptive statistics: reproduces Figures 1–3 and Tables 1–4. 3. Regression results: reproduces Tables 5–17 and Appendix 1. Main scripts include: 00_run_data_management.do 00_run_figures_tables_1_4.do 00_run_regression_tables_5_17.do 01_panel_statistics_figures_tables_1_4.do 02_cross_section_statistics_figures_tables_1_4.do 03_panel_regressions_tables_5_17_appendix1A.do 04_cross_section_regressions_tables_5_17_appendix1B_updated.do Requirements: Stata with outreg2, estout, ivreg2, and ranktest. To run the package, set the Stata working directory to the package root and execute the relevant master scripts. Outputs are saved to output/tables, output/figures, and output/logs.