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Project Citation: 

Howard, Gregory, and Liebersohn, Jack. Data and Code for: How Regional Inequality and Migration Drive Housing Prices and Rents. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-08-06. https://doi.org/10.3886/E230944V1

Project Description

Summary:  View help for Summary For several decades after World War II, regional incomes converged within the United States, but in recent decades, this trend has stopped and even reversed. Instead, more recent income growth—and the economic opportunities that come with it—has been increasingly concentrated in a small number of cities. From 2000 to 2018, median household incomes increased by about 15 percent more in cities that were already in the top 10 percent as compared to cities that were initially in the bottom half. During this time, the FHFA house price index rose by 31 percentage points more than the consumer price index (CPI). This increase is unevenly distributed, and driven in large part by the higher rate of housing price increases in major cities. Relative to CPI, house prices rose by 49 percentage points in New York, 96 percentage points in Seattle, 129 percentage points in Los Angeles, and 113 percentage points in Miami. Our essay argues that this is no coincidence: the workhorse model of urban economics predicts that an increase in regional inequality leads to higher average national housing rents and prices, and the data support this theory.

Scope of Project

Subject Terms:  View help for Subject Terms Housing; rent; migration
JEL Classification:  View help for JEL Classification
      O18 Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
      R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2000 – 2018
Data Type(s):  View help for Data Type(s) census/enumeration data; geographic information system (GIS) data


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