Project Overview

Housing Markets and Heterogenous Households: leveraging linked migration microdata to define housing markets and household types

Faculty Sponsor

Mike Mei (




The definition of what constitutes a housing market is an important question for policy analysis. Houses and households differ on a variety of aspects, and these differences make it difficult to understand the matching of houses to households in the market. The researcher often has to make simplifying assumptions about what constitutes the unit of analysis in terms of housing markets and how to group different types of households. In this project, we use data driven approach (bipartite network analysis) on migration flows to infer what constitutes housing markets and household types. This project utilizes novel proprietary address history data which tracks the migration of households across time. The student researcher will assist with the empirical analysis, coding, editing, literature review, and compilation of results. Further work might include assisting with evaluations of housing and tax policies based on the network model’s identified housing markets and household types, as well as other subprojects relating to the same dataset.

Student Qualifications

Student applicants must have some background in economics and statistics. Student applicants must have coding skills, preferably in Stata, R, and Python (or have a strong coding background where they can feasibly learn these tools quickly). There is a strong preference for those with econometrics experience.

Number of Student Researchers

2 students

Project Length

8 weeks

Applications open on 10/03/2023 and close on 02/28/2024

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If you have questions, please contact Karyn Belanger (