Evidence map›Paper›PMID 33679266›Full record

ArticleJournal of the European Economic Association2021

Accounting for the Rise of Health Spending and Longevity.

Raquel Fonseca, Pierre-Carl Michaud, Titus Galama, Arie Kapteyn

Abstract read
In one paragraph

Article in Journal of the European Economic Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

4 authors.

Raquel FonsecaESG-Universite du Quebec a Montreal & CIRANO.
Pierre-Carl MichaudHEC Montreal, CIRANO & NBER.
Titus GalamaUniversity of Southern California; Vrije Universiteit, Amsterdam; Erasmus University, Rotterdam, Tinbergen Institute.
Arie KapteynUniversity of Southern California.

Funding

WEALTH DISPARITIES AMONG MATURE AND OLDER ADULTSP01AG008291 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1989 to 2018
$19.4M
WELL-BEING OF THE AGING POPULATION AND THE ROLE OF INSTITUTIONSP01AG022481 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2004 to 2014
$13.5M
Identifying modifiable aspects of gene-by-environment interplay in later-life cognitive declineRF1AG055654 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAUL, JESSICA, GALAMA, TITUS JOHANNES · 2017 to 2018
$4.3M
Robust Integration Modeling of Health, Wealth, and DisabilityR01AG030824 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2007 to 2011
$2.8M
From understanding to reducing health disparities: a model-based evaluationR01AG037398 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GALAMA, TITUS JOHANNES · 2010 to 2014
$2.2M
Identifying gene-by-environment interplay in health behaviorR56AG058726 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GALAMA, TITUS JOHANNES · 2020 to 2020
$842k
Human capital, health and longevity: explaining the health gradientK02AG042452 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GALAMA, TITUS JOHANNES · 2012 to 2016
$776k
NIA NIH HHS K02 AG042452NIA NIH HHS P01 AG008291NIA NIH HHS P01 AG022481NIA NIH HHS R01 AG030824NIA NIH HHS R01 AG037398NIA NIH HHS R56 AG058726NIA NIH HHS RF1 AG055654
6 · The paper itself

Abstract

We estimate a stochastic life-cycle model of endogenous health spending, asset accumulation and retirement to investigate the causes behind the increase in health spending and longevity in the U.S. over the period 1965-2005. Accounting for changes over time in taxes, transfers, Social Security, income, health insurance, smoking and obesity, and technological progress, we estimate that technological progress is responsible for half of the increase in life expectancy over the period. Substantial growth in health spending over the period is largely the result of growth in economic resources and the generosity of health insurance, with a modest role for medical technological progress. The growth in spending does not come from changes in a single source, but sources jointly interacted to increase spending: complementarity effects explain up to 26.3% of the increase in health spending. Overall, for those born in 1940, the combined changes in resources and health insurance that occurred over the period are valued at 35.7% of lifetime consumption.

Indexed as

health spendinglife-cyclelongevitytechnological change

Identifiers

PMID33679266
PMCPMC7935060

What OpenQuestion holds

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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.