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Project Citation: 

Elmendorf, Christopher, Nall, Clayton, and Oklobdzija, Stan. Data and Code for: The Folk Economics of Housing. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-08-07. https://doi.org/10.3886/E233932V1

Project Description

Summary:  View help for Summary We investigate why economically inefficient housing regulations persist despite broad expert consensus that they restrict supply and drive up prices. We propose that public misunderstanding of basic market dynamics—what we term “folk economics”—plays a central role. Drawing on three preregistered, nationally representative surveys of urban and suburban U.S. residents, we examine how people reason about the relationship between housing supply and prices. While majorities of both renters and homeowners express a desire for lower housing costs, only a minority believe that large increases in regional housing supply would reduce prices. In contrast to textbook economic reasoning, many respondents blame landlords and developers for high prices.  They favor price controls, demand subsidies, and regulations targeting housing providers. We find that beliefs about housing supply effects are weakly held and highly unstable over time and across survey contexts, consistent with the view that they are “non-attitudes.” These misperceptions help explain why punitive housing policies enjoy stronger and more consistent public support than pro-supply reforms. Our findings suggest that correcting economic misconceptions may be essential for enabling effective policy change, and they highlight the need to incorporate models of mass belief formation into political economy accounts of land-use regulation.
Funding Sources:  View help for Funding Sources Manhattan Institute; UCSB Pahl Initiative on Critical Social Issues

Scope of Project

Subject Terms:  View help for Subject Terms economic knowledge; folk economics; housing policy
JEL Classification:  View help for JEL Classification
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      R31 Housing Supply and Markets
Geographic Coverage:  View help for Geographic Coverage United States adults, urban and suburban zip codes
Time Period(s):  View help for Time Period(s) 3/17/2022 – 3/13/2024 (Four Survey Waves, 2022-2024)
Collection Date(s):  View help for Collection Date(s) 3/17/2022 – 3/24/2022 (Survey 1); 8/16/2022 – 8/29/2022 (Survey 2); 4/23/2023 – 5/11/2023 (Survey 3); 3/5/2024 – 3/13/2024 (JPIPE Paper Survey)
Universe:  View help for Universe Quota-sampled online of 18+ US population, targeting equal proportions of owners and renters.
Data Type(s):  View help for Data Type(s) aggregate data; census/enumeration data; experimental data; geographic information system (GIS) data; observational data; survey data

Methodology

Sampling:  View help for Sampling Survey responses were collected online by Forthright (Bovitz) using quotas specified by the researchers.  

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