Literature DB >> 23317633

Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D.

Iris Kesternich1, Florian Heiss, Daniel McFadden, Joachim Winter.   

Abstract

In recent years, consumer choice has become an important element of public policy. One reason is that consumers differ in their tastes and needs, which they can express most easily through their own choices. Elements that strengthen consumer choice feature prominently in the design of public insurance markets, for instance in the United States in the recent introduction of prescription drug coverage for older individuals via Medicare Part D. For policy makers who design such a market, an important practical question in the design phase of such a new program is how to deduce enrollment and plan selection preferences prior to its introduction. In this paper, we investigate whether hypothetical choice experiments can serve as a tool in this process. We combine data from hypothetical and real plan choices, elicited around the time of the introduction of Medicare Part D. We first analyze how well the hypothetical choice data predict willingness to pay and market shares at the aggregate level. We then analyze predictions at the individual level, in particular how insurance demand varies with observable characteristics. We also explore whether the extent of adverse selection can be predicted using hypothetical choice data alone.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  C25; D12; H51; Health insurance demand; Hypothetical choice experiments; I11; I18; Medicare

Mesh:

Substances:

Year:  2012        PMID: 23317633      PMCID: PMC4863595          DOI: 10.1016/j.jhealeco.2012.11.006

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


  10 in total

1.  Who failed to enroll in Medicare Part D, and why? Early results.

Authors:  Florian Heiss; Daniel McFadden; Joachim Winter
Journal:  Health Aff (Millwood)       Date:  2006-08-01       Impact factor: 6.301

2.  Medicare prescription drug coverage: consumer information and preferences.

Authors:  Joachim Winter; Rowilma Balza; Frank Caro; Florian Heiss; Byung-hill Jun; Rosa Matzkin; Daniel McFadden
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-08       Impact factor: 11.205

3.  Medicare prescription drug benefit progress report: findings from a 2006 national survey of seniors.

Authors:  Patricia Neuman; Michelle Kitchman Strollo; Stuart Guterman; William H Rogers; Angela Li; Angie Mae C Rodday; Dana Gelb Safran
Journal:  Health Aff (Millwood)       Date:  2007-08-21       Impact factor: 6.301

4.  Beneficiary price sensitivity in the Medicare prescription drug plan market.

Authors:  Austin B Frakt; Steven D Pizer
Journal:  Health Econ       Date:  2010-01       Impact factor: 3.046

5.  Cost-related medication nonadherence and spending on basic needs following implementation of Medicare Part D.

Authors:  Jeanne M Madden; Amy J Graves; Fang Zhang; Alyce S Adams; Becky A Briesacher; Dennis Ross-Degnan; Jerry H Gurwitz; Marsha Pierre-Jacques; Dana Gelb Safran; Gerald S Adler; Stephen B Soumerai
Journal:  JAMA       Date:  2008-04-23       Impact factor: 56.272

6.  Providing prescription drug coverage to the elderly: America's experiment with Medicare Part D.

Authors:  Mark Duggan; Patrick Healy; Fiona Scott Morton
Journal:  J Econ Perspect       Date:  2008

7.  Choice Inconsistencies Among the Elderly: Evidence from Plan Choice in the Medicare Part D Program.

Authors:  Jason Abaluck; Jonathan Gruber
Journal:  Am Econ Rev       Date:  2011-06-01

8.  Comparison friction: experimental evidence from medicare drug plans.

Authors:  Jeffrey R Kling; Sendhil Mullainathan; Eldar Shafir; Lee C Vermeulen; Marian V Wrobel
Journal:  Q J Econ       Date:  2012

9.  Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D.

Authors:  Iris Kesternich; Florian Heiss; Daniel McFadden; Joachim Winter
Journal:  J Health Econ       Date:  2012-12-17       Impact factor: 3.883

10.  Plan selection in Medicare Part D: evidence from administrative data.

Authors:  Florian Heiss; Adam Leive; Daniel McFadden; Joachim Winter
Journal:  J Health Econ       Date:  2013-12       Impact factor: 3.883

  10 in total
  10 in total

1.  Big Data: Will It Improve Patient-Centered Care?

Authors:  Denzil G Fiebig
Journal:  Patient       Date:  2017-04       Impact factor: 3.883

Review 2.  Reconceptualising the external validity of discrete choice experiments.

Authors:  Emily Lancsar; Joffre Swait
Journal:  Pharmacoeconomics       Date:  2014-10       Impact factor: 4.981

3.  Mostly harmless regulation? Electronic cigarettes, public policy, and consumer welfare.

Authors:  Donald S Kenkel; Sida Peng; Michael F Pesko; Hua Wang
Journal:  Health Econ       Date:  2020-08-11       Impact factor: 3.046

4.  Subsidy Design in Privately Provided Social Insurance: Lessons from Medicare Part D.

Authors:  Francesco Decarolis; Maria Polyakova; Stephen P Ryan
Journal:  J Polit Econ       Date:  2020-03-18

5.  Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data.

Authors:  John Buckell; Stephane Hess
Journal:  J Health Econ       Date:  2019-04-02       Impact factor: 3.883

6.  Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D.

Authors:  Iris Kesternich; Florian Heiss; Daniel McFadden; Joachim Winter
Journal:  J Health Econ       Date:  2012-12-17       Impact factor: 3.883

7.  Patients Place More of an Emphasis on Physical Recovery Than Return to Work or Financial Recovery.

Authors:  Nathan N O'Hara; Dionne S Kringos; Gerard P Slobogean; Yasmin Degani; Niek S Klazinga
Journal:  Clin Orthop Relat Res       Date:  2021-06-01       Impact factor: 4.755

8.  When piloting health services interventions, what predicts real world behaviours? A systematic concept mapping review.

Authors:  Tavis Hayes; Natasha Hudek; Ian D Graham; Doug Coyle; Jamie C Brehaut
Journal:  BMC Med Res Methodol       Date:  2020-04-06       Impact factor: 4.615

9.  Parameterising User Uptake in Economic Evaluations: The role of discrete choice experiments.

Authors:  Fern Terris-Prestholt; Matthew Quaife; Peter Vickerman
Journal:  Health Econ       Date:  2016-01-15       Impact factor: 3.046

10.  Protective Behaviour of Citizens to Transport Accidents Involving Hazardous Materials: A Discrete Choice Experiment Applied to Populated Areas nearby Waterways.

Authors:  Esther W de Bekker-Grob; Arnold D Bergstra; Michiel C J Bliemer; Inge J M Trijssenaar-Buhre; Alex Burdorf
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.