E T Consultant - Regional Statistical Team
Overview
The Extended Term Consultant will support the Regional Statistical Team in delivering analytical and capacity-building activities for South Asian countries, focusing on fiscal distributional analysis, survey-to-survey imputation, macro-microsimulation modeling, and geospatial data analysis.
Key Responsibilities
- Conduct and support the design and implementation of Commitment to Equity (CEQ) assessments.
- Build and maintain CEQ models using household survey microdata.
- Analyze the progressivity and redistributive effects of fiscal instruments.
- Prepare technical notes, policy briefs, and presentations.
- Support capacity building of national statistical offices and ministry counterparts.
- Design and implement survey-to-survey imputation models.
- Support the construction and validation of consumption or income aggregates.
- Document model assumptions, data inputs, and limitations.
- Provide technical guidance and hands-on support to country poverty economists.
- Support poverty economists in the design, implementation, and application of macro-microsimulation models.
- Develop and maintain models linking macroeconomic projections to household-level distributional outcomes.
- Simulate and assess the welfare effects of economic and climate-related shocks.
- Adapt model assumptions, calibrate parameters, and interpret results.
- Build the capacity of regional and country-level economists to independently operate and extend microsimulation tools.
- Produce scenario analysis outputs.
- Apply geospatial data and methodologies to support small area poverty estimation and disaggregated welfare analysis.
- Combine household survey data with high-resolution spatial datasets.
- Support the integration of climate exposure and disaster risk data into welfare analysis.
- Produce maps, visualizations, and spatial datasets.
Required Experience
A minimum of five (5) years of demonstrated, hands-on experience in at least two of the following technical areas: fiscal distributional analysis using the CEQ framework; survey-to-survey imputation or poverty estimation methodologies; macro-microsimulation modeling; and geospatial analysis for welfare or development applications. Proven experience working with large household survey microdata and administrative datasets, including data cleaning, harmonization, and analysis. Strong proficiency in at least two of the following programming environments: Stata, R, or Python, with the ability to produce clean, reproducible, and well-documented code. Demonstrated experience using AI-assisted coding tools (e.g., Positron IDE, GitHub Copilot, or equivalent) to accelerate analytical workflows and improve code quality. Experience modeling the welfare impacts of economic shocks (e.g., inflation, growth slowdowns, labor market disruptions) or climate change on household welfare. Prior experience working in or on South Asian countries, with familiarity with the data landscape and policy environment of the region. Experience working directly with national statistical offices or government counterparts in a technical advisory or capacity-building role. Familiarity with World Bank poverty measurement standards, the Global Monitoring Database (GMD), and the Poverty and Inequality Platform (PIP). Experience with geospatial software and libraries (e.g., QGIS, ArcGIS, sf/terra in R, geopandas in Python).
Qualifications
Master's degree (required) or PhD (preferred) in Economics, Applied Economics, Statistics, or a closely related field.