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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
Development economist using data, measurement, and analytics to improve outcomes for children and vulnerable populations.
When and Where Do We See Regional Poverty Reduction and Convergence? Lessons from the Roof of Turkey
SAE: Stata module to provide commands and mata functions devoted to unit level small area estimation
Posts
The Future of Provenance: Why Data Acquisition Must Be Code
Published:
Data acquisition and preparation are not auxiliary tasks. They are methodological acts. And in the age of AI, they must be executable and auditable.
From Evidence to Action: Strengthening Africa’s Learning Data Ecosystems
Published:
Reflections from the ADEA Triennale 2025 in Accra on building fit-for-purpose, comparable learning assessments across Africa.
When the Future Arrives Faster Than Expected: Reflections on AI and Education at CIES 2025
Published:
Initial reflections on AI and Education from the Comparative and International Education Society (CIES) 2025 conference in Chicago.
| Strengthening Child and Adolescent Statistics in Africa | UN56SC |
Published:
Launch of the Africa Expert Group on Child and Adolescent Statistics at the UN 56th Statistical Commission side event.
A Year of Insights, A Future of Action: UNICEF Data and Analytics 2024
Published:
Highlights from UNICEF Data and Analytics Team publications in 2024, covering child mortality, FGM, immunization, and more.
Data that Matters: Achieving Both Precision and Public Trust in Statistics
Published:
How Colombia transformed its poverty measurement through the MESEP process, rebuilding public trust in statistics.
Analyzing Intergenerational Mobility in Brazil: Education and Poverty Trends
Published:
Analysis of Brazil’s progress in education and poverty reduction across generations using age-period-cohort data.
Learning Poverty and COVID-19 School Closures: Initial Simulations
Published:
Simulation scenarios showing potential impacts of COVID-19 school closures on learning poverty in low- and middle-income countries.
publications
software
ADECOMP
Published:
Decompose changes in poverty or inequality into contributions by welfare components (e.g. labor income, transfers) using Shapley-Shorrocks averaging, resolving path-dependence in micro-decompositions.
AINEQUAL
Published:
Compute 12+ inequality indices from micro or grouped data, including Gini, Atkinson, Theil entropy, mean log deviation, Mehran, Piesch, Kakwani, and generalized entropy measures with user-defined sensitivity parameters.
ALORENZ
Published:
Generate Pen’s Parade, Lorenz, and Generalized Lorenz curves with stochastic dominance tests in Stata.
APOVERTY
Published:
Compute 12+ poverty measures from micro or grouped welfare data, including headcount ratio, poverty gap, FGT indices, Watts index, Sen index, Takayama index, and Thon index, with optional bootstrapped standard errors.
CHANGEMEAN
Published:
Separate the effect of income growth from distributional change on poverty across 25 welfare measures, covering FGT indices, Watts, Sen, Clark-Ulph-Hemming, and other standard poverty metrics.
CRTEST
Published:
Perform the Cramer-Ridder test for pooling states in a multinomial logit model in Stata.
DFL
Published:
Construct counterfactual wage or welfare distributions using the DiNardo-Fortin-Lemieux (1996) reweighting approach, isolating the contribution of institutional changes, price effects, and compositional shifts.
DRDECOMP
Published:
Decompose changes in poverty indicators into growth and distribution components using Datt-Ravallion methodology with Shapley values.
FACTORTEST
Published:
Test whether a correlation matrix is suitable for factor analysis using Bartlett’s sphericity test (is the matrix the identity?) and the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy.
FHSAE
Published:
Produce reliable welfare estimates for small geographic areas or subgroups with limited samples using the Fay-Herriot area-level model, combining survey direct estimates with auxiliary administrative or census data via EBLUP.
GROUPFUNCTION
Published:
High-performance data aggregation for large datasets — several orders of magnitude faster than Stata’s collapse — computing means, sums, variances, first values, minima, and maxima across groups in a single pass.
GRQREG
Published:
Graph the coefficients of a quantile regression with confidence intervals in Stata.
HOI
Published:
Measure how equitably basic opportunities (education, sanitation, health) are distributed among children using the Human Opportunity Index (HOI), decomposing gaps by coverage rate and inequality across circumstances.
ISOPOVERTY
Published:
Map the growth-redistribution trade-offs needed to reach a poverty target by plotting iso-poverty, growth-poverty, and inequality-poverty curves — key tools for pro-poor policy analysis.
MOL
Published:
Go beyond the standard literacy rate by computing the Basu-Foster (1998) effective literacy measure, which accounts for household-level spillovers where a literate member partially extends literacy benefits to illiterate household members.
MPOVLINE
Published:
Calculate poverty headcount, gap, and severity (FGT0–FGT2) simultaneously across a range of poverty lines, enabling welfare-tier analysis of the poor, vulnerable, and middle class in a single command.
OUTTABLE
Published:
Export Stata matrix to a LaTeX table, with automatic row and column labeling.
SAE
Published:
Unit-level small area estimation for poverty mapping using the ELL methodology in Stata.
SKDECOMP
Published:
Estimate Shapley value of growth, price, and distribution components on changes in poverty indicators.
SPIKE
Published:
Model non-zero probability of zero willingness-to-pay in contingent valuation experiments in Stata.
TURNBULL
Published:
Non-parametric Turnbull estimation of willingness-to-pay from contingent valuation data in Stata.
unicefdata (Python)
Published:
Python package for downloading UNICEF child welfare indicators via SDMX API.
unicefData (R)
Published:
R package for downloading UNICEF child welfare indicators via SDMX API.
unicefdata (Stata)
Published:
Stata module for downloading UNICEF child welfare indicators via SDMX API.
WBOPENDATA
Published:
Access over 29,000 indicators from 51 World Bank databases directly from Stata, covering 296 countries and regions from 1960 to present.
YAML
Published:
Stata module for reading, writing, and manipulating YAML configuration files.