Data explorations.
A research portfolio spanning 16 dataset families found in my working archive, from government revenue and governance to health financing, aid flows, and effective tax rates. Python, notebooks, Stata formats, and spreadsheets connect the pieces.
01 / Working across research datasets
My research archive includes V-Dem, UNU-WIDER GRD, WDI, WGI, CPIA, IMF macroeconomic and revenue data, OECD tax and aid-flow data, SPEED, Polity V, IHME health data, GTED, and Global ETR. The collection below groups source datasets rather than counting releases, individual indicators, or transformed copies as separate sources.
02 / From raw files to useful evidence
The work includes cleaning and restructuring data, aligning country and year identifiers, combining sources, checking inconsistencies, and preparing analysis and visualizations. Careful preparation matters as much as the final chart.
03 / A reproducible research practice
I value traceable transformations, clear assumptions, and analysis that can be revisited. The portfolio describes my experience without redistributing source datasets or unpublished research.
16 dataset families. A wider perspective.
Public finance, governance, development, and health. Versions and transformed files stay grouped under their source family.
V-Dem
Institutional & governance indicators
Democracy and institutional indicators used in country-year research.
In my research archiveUNU-WIDER GRD
Government revenue data
Government revenue data across multiple releases, joined into research panels.
In my research archiveWorld Development Indicators
Economic & development indicators
World Bank indicator extracts covering economic, population, trade, and development questions.
In my research archiveWorldwide Governance Indicators
Governance estimates
Governance indicator extracts and accompanying series metadata.
In my research archiveWorld Bank CPIA
Policy & institutional ratings
Policy and institutional assessment ratings, including financial management and transparency measures.
In my research archiveIMF WEO
Macroeconomic & expenditure data
Macroeconomic series and expenditure measures from World Economic Outlook extracts.
In my research archiveIMF revenue data
Tax & non-tax revenue
IMF country-year revenue data covering income, sales, trade, property, and other revenue categories.
In my research archiveOECD Revenue Statistics
Comparable tax revenue tables
Central and general-government revenue extracts, including tax-category comparisons.
In my research archiveOECD Creditor Reporting System
Development finance flows
Granular aid-flow extracts from the OECD Creditor Reporting System.
In my research archiveSPEED
Public expenditure data
Public expenditure data organized by country, sector, and year.
In my research archivePolity V
Political regime indicators
Political regime data used alongside other institutional research sources.
In my research archiveIHME Development Assistance for Health
Health assistance flows
Development assistance for health organized by year, source, channel, and recipient.
In my research archiveIHME Health Spending
Health financing estimates
Health spending estimates across public, private, out-of-pocket, and assistance components.
In my research archiveWorld Bank Health, Nutrition & Population
Health-system indicators
Health, nutrition, and population extracts, including health expenditure indicators.
In my research archiveGlobal Tax Expenditures Database
Tax expenditure provisions
Tax expenditure provisions, revenue forgone, and beneficiary data in a GTED country extract.
In my research archiveGlobal ETR
Effective tax-rate data
Effective tax-rate series and related tax and national-account variables.
In my research archiveCIP
Additional research experience
Additional dataset experience confirmed by Parkson; the acronym is retained as supplied.
Additional experienceSixteen source families are identified in my working archive. CIP is retained separately as additional experience. This is a portfolio of work with data; source files and unpublished research are kept private.
Reshape & standardize
Work with CSV, Excel, and Stata formats; clean country identifiers and reshape wide year columns into consistent panels.
Merge with care
Join country-year sources, check coverage, preserve missingness, and keep transformations traceable.
Make patterns visible
Build notebook analyses, summary tables, and research charts, including work on tax transparency and health-financing questions.