Literature DB >> 25966453

Welfare implications of learning through solicitation versus diversification in health care.

Anirban Basu1.   

Abstract

Using Roy's model of sorting behavior, I study welfare implications of learning about medical care quality through the current health care data production infrastructure that relies on solicitation of research subjects. Due to severe adverse-selection issues, I show that such learning could be biased and welfare decreasing. Direct diversification of treatment receipt may solve these issues but is infeasible. Unifying Manski's work on diversified treatment choice under ambiguity and Heckman's work on estimating heterogeneous treatment effects, I propose a new infrastructure based on temporary diversification of access that resolves the prior issues and can identify nuanced effect heterogeneity.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Comparative effectiveness research; Diversification; Economic evaluation; Heterogeneity; Instrumental variables; Learning

Mesh:

Year:  2015        PMID: 25966453      PMCID: PMC5845847          DOI: 10.1016/j.jhealeco.2015.04.001

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  10 in total

1.  Local instrumental variables and latent variable models for identifying and bounding treatment effects.

Authors:  J J Heckman; E J Vytlacil
Journal:  Proc Natl Acad Sci U S A       Date:  1999-04-13       Impact factor: 11.205

2.  Accounting for future costs in medical cost-effectiveness analysis.

Authors:  D Meltzer
Journal:  J Health Econ       Date:  1997-02       Impact factor: 3.883

3.  Health insurance: the tradeoff between risk pooling and moral hazard.

Authors:  W G Manning; M S Marquis
Journal:  J Health Econ       Date:  1996-10       Impact factor: 3.883

4.  Economic foundations of cost-effectiveness analysis.

Authors:  A M Garber; C E Phelps
Journal:  J Health Econ       Date:  1997-02       Impact factor: 3.883

5.  Moral hazard in insurance, value-based cost sharing, and the benefits of blissful ignorance.

Authors:  Mark V Pauly; Fredric E Blavin
Journal:  J Health Econ       Date:  2008-07-18       Impact factor: 3.883

6.  ESTIMATING PERSON-CENTERED TREATMENT (PeT) EFFECTS USING INSTRUMENTAL VARIABLES: AN APPLICATION TO EVALUATING PROSTATE CANCER TREATMENTS.

Authors:  Anirban Basu
Journal:  J Appl Econ (Chichester Engl)       Date:  2014 June/July

7.  Economics of individualization in comparative effectiveness research and a basis for a patient-centered health care.

Authors:  Anirban Basu
Journal:  J Health Econ       Date:  2011-04-23       Impact factor: 3.883

8.  The impact of comparative effectiveness research on health and health care spending.

Authors:  Anirban Basu; Anupam B Jena; Tomas J Philipson
Journal:  J Health Econ       Date:  2011-06-01       Impact factor: 3.883

9.  The impact of high-risk patients on the results of clinical trials.

Authors:  J P Ioannidis; J Lau
Journal:  J Clin Epidemiol       Date:  1997-10       Impact factor: 6.437

10.  Who enrolls onto clinical oncology trials? A radiation Patterns Of Care Study analysis.

Authors:  Benjamin Movsas; Jennifer Moughan; Jean Owen; Lawrence R Coia; Michael J Zelefsky; Gerald Hanks; J Frank Wilson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-04-09       Impact factor: 7.038

  10 in total
  2 in total

1.  Evidence generation, decision making, and consequent growth in health disparities.

Authors:  Anirban Basu; Kritee Gujral
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-08       Impact factor: 11.205

2.  Measuring the Value of Pharmaceuticals in the US Health System.

Authors:  Surrey M Walton; Anirban Basu; John Mullahy; Samuel Hong; Glen T Schumock
Journal:  Pharmacoeconomics       Date:  2017-01       Impact factor: 4.981

  2 in total

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