This project, led by the World Bank Development Data Group, is funded by the World Bank Knowledge for Change Program (KCP, grant No TF0A1095) and by the International Household Survey Network Trust Fund (grant No TF0A7461) from the United Kingdom Department for International Development.
The project aims to demonstrate how dynamic micro-simulation can use data from multiple sources — in this case population censuses and household surveys — to inform development policies and research on development issues. The DYNAMIS-POP microsimulation model produces population projections with highly disaggregated information on educational attainment and school attendance, first marriages, ethnicity, infant mortality, and others. The model can be used as is or adapted and extended to meet specific needs.
The model remains in active development. Solutions to exploit geo-spatial data will be developed and integrated, allowing finer geographic disaggregation of the model’s input and output. And other specialized modules will be developed. We envision DYNAMIS-POP to become a collection of models/modules developed and published as public goods under the generic name DYNAMIS (Dynamic Micro-Simulation).
The project was initiated and led by Olivier Dupriez, Lead Statistician at the World Bank Development Data Group. Martin Spielauer, expert in micro-simulation and consultant for the World Bank, is the main author of the model.
The model was developed using MODGEN (a freeware developed and published by Statistics Canada) and Microsoft Visual Studio. Data analysis for the calculation of the model parameters is done using R (R Core Team). The html documentation of the model is implemented using Sphinx and ReadTheDocs.