The course on Techniques for Microsimulation and Distributional Analysis is designed for economists, researchers, statisticians, engineers, and policymakers who wish to deepen their understanding of micro-level methods for evaluating public policies. It is particularly relevant for those working in taxation, social protection, poverty and inequality analysis, and more broadly in assessing the distributional effects of economic reforms on households.

Participants will acquire analytical tools directly applicable to research, policy design, and data-driven decision-making.

Benefits:

·  Specialized knowledge: Gain an in-depth understanding of microsimulation techniques for analyzing the distributional impact of economic and social policies, with applications in taxation, social protection, poverty, and inequality. Learn both the theoretical foundations and the practical aspects of policy incidence and decomposition methods.

·   Practical skills: Develop hands-on expertise in using STATA and specialized modules such as DASP, SUBSIM, and ADePT to perform real data analyses. Through guided exercises and teamwork, participants will learn to design and implement microsimulation models using household survey data and interpret their results for policy evaluation.

·  Policy relevance: Enhance your capacity to inform and influence policy decisions by quantifying how reforms—such as tax or transfer programs—affect different population groups. The course bridges academic rigor and applied relevance, preparing participants to contribute effectively to evidence-based policymaking.

·    Collaborative learning: Work in teams on a case study project throughout the week, applying the learned tools to real data and presenting your findings in a professional setting. This collaborative approach fosters peer learning, critical thinking, and applied research experience.