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A list of functions and objects (such as sample datasets) included in the R packages meta and metafor. The functions and objects provided in Stata also listed as a contrast outside the R environment. Data relevant collected May 2020. Versioning: meta version 4.12-0, metafor version 2.4-0, and Stata version 16.
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OverviewThis archive contains the files to reproduce the results in "Measuring Geopolitical Risk" as well as any additional documentation referred in the paper. Each directory is self-contained. For each directory, download all the files in order to run the necessary scripts. Instructions are given in the README files.Updated data can be found on the geopolitical risk index webpage, which can be found at the following url: https://www.matteoiacoviello.com/gpr.htm For questions or comments, please contact iacoviel@gmail.comData Availability StatementAll the data used in this paper are provided in this repository, with the exception of the Compustat quarterly firm-level data, which can be downloaded from https://wrds-www.wharton.upenn.edu/pages/ with a registered account.Software used The codes here run and have been tested either on Stata/MP 16.0 (for *.do files), on Matlab R2019/A (for *.m files), on R Version 4.04 (for *.R files), and on Anaconda 3 (for *.py, *.ipynb files). Most codes run in seconds/minutes on a personal laptop with 16GB ram, with the exception of the R code to estimate disaster episodes, which takes about 2 days using the standard settings from the Nakamura et al (2013) paper (nIter = 50,000, nRuns = 40). Directory list and list of main input files - if any - in each directory1. Monthly Geopolitical Risk Data Used in the Paper (data_paper)See README.txt file in the directory for detailsdata_gpr_export.dta (Stata format)data_gpr_export.xls (Excel format)2. Replication of Section I: Tables 1-2, Figures 1-8, Appendix Tables A.3-A.6, and Appendix Figures A.1-A.4 and A.10-A.14 (figures_paper) (requires Stata)See README.txt in the directory for detailsinput file: run_figures_tables.do3. Replication of Section III : VAR Evidence - Figures 9-10 and Appendix Figures A.5-A.7 (var_results)(requires Matlab)See README.txt in the directory for detailsinput file: run_all.m4. Replication of Section IV : Country-Specific GPR and Disaster Probability and Quantile Regressions - Tables 3-4 (disaster_regressions)(requires Stata)See README.txt in the directory for detailsinput file: run_replication_country_gpr.do5. Replication of Section V : Firm-Specific Geopolitical Risk - Table 5, Figure 11, Appendix Table A.7, and Appendix Figure A.9 (firm_regressions)(requires Stata)See README.txt file in the directory for details.input file: run_replication_firm_shuffled.do(Note that replication of the results here requires downloading firm-level balance sheet data through Compustat/WRDS. See firm_documentation below for instructions on how to build the firm_level.dta file)6. Auxiliary Material (Section V): Construction of Industry-Specific Exposure to Geopolitical Risk - Appendix Figure A.8 (industry_regressions)(requires Stata)See README.txt file in the directory for details.input file: run_replication_industry.do7. Auxiliary Material: Documentation on how to Build the firm_level.dta file (firm_documentation)See README_BUILD.txt file in the directory for details.8. Auxiliary Material (Section II): Tabulations of Daily Narrative GPR Data from The New York Times (narrative_index)See README.txt file in the directory for details.9. Appendix: Details on the Construction of the Human GPR Index (human_index)See README.txt file in the directory for details.10. Appendix: Audit of Articles Belonging to the GPR Index Described in Appendix Table A.3 (audit_coded)See README.txt file in the directory for details.11. Appendix: Granger Causality Tests --- Appendix Table A.8 (granger_causality)(requires Stata)See README.txt file in the directory for details.input file: run_granger_test.do12. Appendix: Replication of Textual Analysis in Appendix Tables A.1 and A.2 (text_analysis)(requires Matlab, including text analytics toolbox, and Stata for generating the formatted tables in the appendix)See README.txt file in the directory for details.input files: run_find_grams_textanalytics.m and run_app_tables_1_2.do 13. Auxiliary Material: Estimation of the Country Disaster Events from 1900 through 2019 (disaster_estimation)(requires R)See README.txt file in the directory for details.14. Auxiliary Material: Stata File with Firm-Level Geopolitical Risk Data (firm_level_gpr)See README.txt file in the directory for details.15. Auxiliary Material: Search Queries for News-Based GPR Index (news_searches)See README.txt file in the directory
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List of variables for the assessment of barriers to healthcare access among reproductive age women in extremely high and very high maternal mortality countries.
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List of all studies identified in the literature search.
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Check list for quality assessment and scoring of nonrandomized studies.
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A list of the study’s variables along with an explanation of each measurement.
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List of independent variables for the assessment of virological outcomes of antiretroviral therapy and its determinants among HIV patients in Ethiopia.
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list01_organizing_variables_v4ar_r2_v1ar.do: STATA do file used to generate processed dataset from raw dataset (not provided but available upon request from corresponding author). list02_symmary_stat_tables_r2_v1ar.do: STATA do file used to generate Table 1: Summary Statistics, Table B: Balance Test, and Table C: Design Test. list03_descriptive_graphs_r2_v1ar.do: STATA do file used to generate Fig 1: Self-reported mask-wearing in public, by country, Fig 2: Self-reported number of listed activities, by treatment vs. control groups, Fig 3: Stated vs. elicited mask wearing rates, by country, and Fig A: Differences between stated and elicited non-compliance with facemask wearing. list04_analyze_list_experiments_r2_v1ar.do: STATA do file used to generate Table 2: Multivariable analyses for the list experiments and Table 3: Multivariable analyses for stated noncompliance with wearing facemask. list05_differences_by_strata_r2_v1ar.do: STATA do file used to generate Table 4: Comparing Stated and Elicited Facemask Compliance. (ZIP)
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List of complications among patients (n = 61).
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List of East African countries included in analysis.
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The list of independent variables and their definitions and measurements.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A list of functions and objects (such as sample datasets) included in the R packages meta and metafor. The functions and objects provided in Stata also listed as a contrast outside the R environment. Data relevant collected May 2020. Versioning: meta version 4.12-0, metafor version 2.4-0, and Stata version 16.