CREAT: Census Research Exploration and Analysis Tool

Housing Wealth and Labor Supply: Evidence From Geographically-Linked Microdata

February 2026

Written by: Xi Yang

Working Paper Number:

CES-26-15

Abstract

This study examines the causal effect of housing wealth on labor supply using restricted geographic data from the Survey of Income and Program Participation (SIPP). The analysis employs a novel household-level instrument that measures the duration of homeowners' exposure to housing market booms driven by credit expansion in housing supply-constrained areas, leveraging cross-household variation in both the timing and location (counties) of home purchases. Housing wealth negatively affects women's labor supply, a 1% increase lowers participation by 0.098 pp, but shows no significant effect for men. This negative wealth effectamong female workers is driven primarily by childcare responsibilities and human capital investment, as it is strongest among mothers of young children and those who report child-related reasons for not working. Other potential mechanisms, such as income effects, precautionary saving, or liquidity constraints, do not seem to fully explain the negative association.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

By analyzing the content of working papers, KeyBERT identifies terms and phrases that capture the essence of the text, highlighting the most significant topics and trends. This approach not only enhances searchability but provides connections that go beyond potentially domain-specific author-defined keywords.
:

Tags Tags are automatically generated using a pretrained language model from spaCy, which excels at several tasks, including entity tagging.

The model is able to label words and phrases by part-of-speech, including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are identified to contain references to specific institutions, datasets, and other organizations.
:

Similar Working Papers Similarity between working papers are determined by an unsupervised neural network model know as Doc2Vec.

Doc2Vec is a model that represents entire documents as fixed-length vectors, allowing for the capture of semantic meaning in a way that relates to the context of words within the document. The model learns to associate a unique vector with each document while simultaneously learning word vectors, enabling tasks such as document classification, clustering, and similarity detection by preserving the order and structure of words. The document vectors are compared using cosine similarity/distance to determine the most similar working papers. Papers identified with 🔥 are in the top 20% of similarity.

The 10 most similar working papers to the working paper 'Housing Wealth and Labor Supply: Evidence From Geographically-Linked Microdata' are listed below in order of similarity.