Evidence map›Paper›PMID 32659622›Full record

ArticleEconomics and human biology2020

Is owning your home good for your health? Evidence from exogenous variations in subsidies in England.

Luke A Munford, Eleonora Fichera, Matt Sutton

Abstract read
In one paragraph

Article in Economics and human biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Housing Poverty and Healthy Aging in China: Evidence from the China Health and Retirement Longitudinal Study.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Luke A MunfordSchool of Health Sciences, University of Manchester, UK. Electronic address: luke.munford@manchester.ac.uk.
Eleonora FicheraDepartment of Economics, University of Bath, UK. Electronic address: e.fichera@bath.ac.uk.
Matt SuttonSchool of Health Sciences, University of Manchester, UK. Electronic address: matt.sutton@manchester.ac.uk.

Funding

Medical Research Council MR/N015126/1
6 · The paper itself

Abstract

Home ownership is an important component of wealth and may affect health through a range of mechanisms. Using macro- and micro-level data from 2000 to 2008, we seek to estimate the causal effect of home ownership on health by exploiting the Right to Buy policy, which encouraged long-term tenants of publicly rented housing to buy their home at a large discount. At the macro-level we find that a 10 percentage-point increase in home ownership rates is associated with a 2 percentage-point reduction in the number of people reporting having a longstanding health condition. At the individual level we find that home ownership increases the General Health Questionnaire score by 1.46 points on a 37-point scale and self-assessed health by 0.19 points on a 5-point scale and reduces the number of health conditions reported by 0.65. Further analyses show that home ownership affects health via labour markets, with new job opportunities, extra time saved travelling and resources available for healthy leisure activities. These results suggest that housing policies, such as affordable housing, can be an example of non-health policies that improve health.

Indexed as

Health StatusEnglandHealth BehaviorHealthy LifestyleHousingHumansLeisure ActivitiesOccupationsOwnershipSocioeconomic FactorsHealth and well-beingHome ownershipHousing policiesRight to Buy

Identifiers

PMID32659622
PMCPMC7725589

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.