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 Farcas, Zbigniew Korzeb, Simona Nistor This replication package contains the data and Stata code required to reproduce all empirical results reported in the paper and appendix. The package uses two analysis datasets: Panel data (4).dta — quarterly country-level panel data. Cross-sectional data (4).dta — country-level cross-sectional data. 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 on Hofstede’s individualism index from www.theculturefactor.com, with alternative measures from the GLOBE Project and Minkov and Kaasa (2022). Macroeconomic, institutional, political, and COVID-19 controls are drawn from various data sources, as documented in the README and variable-definition file. The materials are organized into two Stata components. 1. Figures and descriptive statistics Main scripts: 00_run_figures_tables_1_4.do 01_panel_statistics_figures_tables_1_4.do 02_cross_section_statistics_figures_tables_1_4.do These scripts reproduce Figures 1–3 and Tables 1–4, including sample construction, descriptive statistics, difference-in-means tests, and graphical evidence. 2. Regression results Main scripts: 00_run_regression_tables_5_17.do 03_panel_regressions_tables_5_17_appendix1A.do 04_cross_section_regressions_tables_5_17_appendix1B_updated.do These scripts reproduce Tables 5–17 and Appendix 1. The panel script produces the quarterly estimates; the cross-sectional script produces the cross-sectional estimates. The code follows the order of the tables and columns in the final results workbook. The regressions cover baseline estimates, alternative cultural indices, alternative samples, additional controls, other cultural dimensions, outlier exclusions, COVID-period interactions, IV estimates, channel analyses, moderating factors, regional heterogeneity, leave-one-region-out tests, government ideology, and appendix IV estimates. Requirements: Stata with the user-written packages outreg2, 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 the tables, figures, and logs folders. The replication package uses two Stata datasets: Panel data (4).dta Cross-sectional data (4).dta The panel dataset contains quarterly country-level observations. The cross-sectional dataset contains cross-sectional observations.