Evidence map›Paper›PMID 35400771›Full record

ArticleInternational journal of industrial organization2022

Optimal vaccine subsidies for endemic diseases.

Matthew Goodkin-Gold, Michael Kremer, Christopher M Snyder, Heidi Williams

Abstract read
In one paragraph

Article in International journal of industrial organization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Optimal vaccine subsidies for endemic diseases.International journal of industrial organization · 2022
    Article
  5. Article
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.

Matthew Goodkin-GoldDepartment of Economics, Harvard University, Cambridge, Massachusetts, USA.
Michael KremerDepartment of Economics, University of Chicago, Chicago, Illinois, USA.
Christopher M SnyderDepartment of Economics, Dartmouth College, Hanover, New Hampshire, USA.
Heidi WilliamsDepartment of Economics, Stanford University, Stanford, California, USA.

Funding

NBER Center for Aging and Health Research-Post COVID-19 Experiences Among Adults with ADRDP30AG012810 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI DAVID M CUTLER · 1999 to 2026
$24.6M
NBER Training Program in Aging and Health EconomicsT32AG000186 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M, FINKELSTEIN, AMY N. · 1989 to 2024
$9.6M
NIA NIH HHS P30 AG012810NIA NIH HHS T32 AG000186
6 · The paper itself

Abstract

In Goodkin-Gold et al. (2021), we analyzed optimal subsidies for a vaccine against an epidemic outbreak like Covid-19. This companion paper alters the underlying epidemiological model to suit endemic diseases requiring continuous vaccination of new cohorts-also suiting an epidemic like Covid-19 if, following Gans (2020), one assumes peaks are leveled by social distancing. We obtain qualitatively similar results: across market structures ranging from perfect competition to monopoly, the subsidy needed to induce first-best vaccination coverage on the private market is highest for moderately infectious diseases, which invite the most free riding; extremely infectious diseases drive more consumers to become vaccinated, attenuating externalities. Stylized calibrations to HIV, among other diseases, suggest that first-best subsidies can be exorbitantly high when suppliers have market power, rationalizing alternative policies observed in practice such as bulk purchases negotiated by the government on behalf of the consumers.

Indexed as

EpidemiologyExternalityPharmaceuticalVaccine

Identifiers

PMID35400771
PMCPMC8975799

What OpenQuestion holds

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Registered trials

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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.