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E T Consultant - Regional Statistical Team
Contractor
Posted on Sep 18, 2026
At the World Bank, a member of the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. For more information, visit https://www.worldbank.org/en/who-we-are/ibrd The World Bank's South Asia Regional Statistical Team provides technical support to client countries across the region in the areas of poverty measurement, distributional analysis, and economic modeling. As countries in the region face growing demands for rigorous, policy-relevant analytics — particularly in the context of fiscal reforms, economic shocks, and climate vulnerability — the team requires additional capacity to deliver high-quality analytical support in a timely and flexible manner. To meet this demand, the Regional Statistical Team is seeking an Extended Term Consultant (ETC) with deep technical expertise in distributional analysis, microsimulation modeling, and geospatial analytics. The consultant will work across multiple country engagements, often simultaneously, in close collaboration with country economists, regional specialists, and government counterparts. Objectives: The consultant will support the Regional Statistical Team in delivering analytical and capacity-building activities for South Asian countries, with a focus on four priority areas: (i) fiscal distributional analysis, (ii) survey-to-survey imputation and welfare estimation, (iii) macro-microsimulation modeling for policy reform evaluation, forecasting, and shock analysis, and (iv) geospatial data analysis for poverty and welfare assessments. Scope of Work and Key Tasks Task 1 — Fiscal Distributional Analysis (CEQ Framework) • Conduct and support the design and implementation of Commitment to Equity (CEQ) assessments for selected South Asian countries, covering the distributional impact of taxes, transfers, and public expenditures on household welfare. • Build and maintain CEQ models using household survey microdata, integrating administrative data and national accounts where applicable. • Analyze the progressivity and redistributive effects of fiscal instruments, including direct taxes, indirect taxes, cash transfers, subsidies, and in-kind benefits (education, health). • Prepare technical notes, policy briefs, and presentations summarizing findings for government counterparts and World Bank management. • Support capacity building of national statistical offices and ministry counterparts in the application of the CEQ methodology. Task 2 — Survey-to-Survey Imputation and Welfare Estimation • Design and implement survey-to-survey imputation models to produce welfare estimates in countries or periods with limited or outdated data availability, following established World Bank methodologies (e.g., small area estimation, cross-survey imputation). • Support the construction and validation of consumption or income aggregates, and the harmonization of survey microdata across rounds and data sources. • Document model assumptions, data inputs, and limitations in a transparent and reproducible manner, ensuring full replicability of results. • Provide technical guidance and hands-on support to country poverty economists in applying imputation methodologies as part of poverty monitoring and reporting workflows. Task 3 — Macro-Microsimulation Modeling: Policy Reform Evaluation, Forecasting, and Shock Analysis • Support poverty economists across South Asian country teams in the design, implementation, and application of macro-microsimulation models tailored to their specific country contexts and policy questions. • Develop and maintain models that link macroeconomic projections — including growth, inflation, labor market dynamics, and sectoral shifts — to household-level distributional outcomes, enabling poverty and inequality nowcasting and forecasting. • Simulate and assess the welfare effects of economic and climate-related shocks, including commodity price volatility and natural disasters, translating macro-level projections into household-level poverty and inequality estimates. • Work closely with country economists to adapt model assumptions, calibrate parameters, and interpret results in the context of country-specific institutional and data environments. • Build the capacity of regional and country-level economists to independently operate and extend microsimulation tools, including through hands-on training, documentation, and code walkthroughs. • Produce scenario analysis outputs — including poverty headcount projections, distributional charts, and sensitivity analyses — suitable for policy dialogue with government counterparts and World Bank management. Task 4 — Geospatial Analysis for Welfare and Poverty Assessments • Apply geospatial data and methodologies — including satellite imagery, remote sensing, and geographic information systems (GIS) — to support small area poverty estimation and disaggregated welfare analysis. • Combine household survey data with high-resolution spatial datasets (nighttime lights, vegetation indices, climate hazard layers, infrastructure data) to produce subnational poverty maps and vulnerability assessments. • Support the integration of climate exposure and disaster risk data into welfare analysis, contributing to climate-poverty analytics for the region. • Produce maps, visualizations, and spatial datasets suitable for policy dialogue and dissemination.