Informational frictions in the Brazilian health insurance market

Detalhes bibliográficos
Autor(a) principal: Fonseca, Ricardo Barros de Aquino
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/18413
Resumo: I test for the existence of moral hazard and adverse selection in the Brazilian health insurance market. I use the positive correlation test, proposed by Chiappori and Salanié (2000), to assess the existence of asymmetric information in this market. I estimate the effect of health plan on treatment usage, controlling for many variables (measured blood pressure, age, smoker, etc.), identifying the effect of the plan. I use this coefficients as plan characteristics and estimate their effects on plan purchase using a simple logit regression. The coefficients from this estimation show the relative importance of anticipated moral hazard of different treatments on health plan choice. I find evidence of asymmetric information in the market for every state, in either the Metropolitan Area or not, and for the country as a whole. When performing the positive correlation test using hospitalizations as the usage variable, where moral hazard is assumed to be controlled, I find this evidence only for young women and for the last age group (59 years or more). I find no evidence of asymmetric information for plans paid through work, as expected. Several treatments are used more by people with plans, even when controlling for adverse selection. The analysis suggests that some of those are relevant for plan purchase.
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spelling Fonseca, Ricardo Barros de AquinoEscolas::EPGEFGVSant'Anna, Marcelo Castello BrancoCastro, Rudi Rocha deTrindade, André Garcia de Oliveira2017-07-04T18:13:40Z2017-07-04T18:13:40Z2017-03-28FONSECA, Ricardo Barros de Aquino. Informational frictions in the Brazilian health insurance market. Dissertação (Mestrado em Economia) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2017.https://hdl.handle.net/10438/18413I test for the existence of moral hazard and adverse selection in the Brazilian health insurance market. I use the positive correlation test, proposed by Chiappori and Salanié (2000), to assess the existence of asymmetric information in this market. I estimate the effect of health plan on treatment usage, controlling for many variables (measured blood pressure, age, smoker, etc.), identifying the effect of the plan. I use this coefficients as plan characteristics and estimate their effects on plan purchase using a simple logit regression. The coefficients from this estimation show the relative importance of anticipated moral hazard of different treatments on health plan choice. I find evidence of asymmetric information in the market for every state, in either the Metropolitan Area or not, and for the country as a whole. When performing the positive correlation test using hospitalizations as the usage variable, where moral hazard is assumed to be controlled, I find this evidence only for young women and for the last age group (59 years or more). I find no evidence of asymmetric information for plans paid through work, as expected. Several treatments are used more by people with plans, even when controlling for adverse selection. The analysis suggests that some of those are relevant for plan purchase.engHealth insurance marketDiscrete-choice modelsAsymmetric informationBrazilSaúdeSeguro-saúde - BrasilInformação assimétricaProcesso decisórioInformational frictions in the Brazilian health insurance marketinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVTEXTRicardo_Fonseca_Dissertacao.pdf.txtRicardo_Fonseca_Dissertacao.pdf.txtExtracted texttext/plain78333https://repositorio.fgv.br/bitstreams/81b72b63-6376-43e9-a851-f9336f2e61a0/downloade7b4b3ca5bd2ac48a5210cc203f14443MD54ORIGINALPDFPDFapplication/pdf1923906https://repositorio.fgv.br/bitstreams/e866ad14-51fb-48dd-ae69-a64d4f5679eb/download31859d5e2f131b25276d0fc435835757MD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.eng.fl_str_mv Informational frictions in the Brazilian health insurance market
title Informational frictions in the Brazilian health insurance market
spellingShingle Informational frictions in the Brazilian health insurance market
Fonseca, Ricardo Barros de Aquino
Health insurance market
Discrete-choice models
Asymmetric information
Brazil
Saúde
Seguro-saúde - Brasil
Informação assimétrica
Processo decisório
title_short Informational frictions in the Brazilian health insurance market
title_full Informational frictions in the Brazilian health insurance market
title_fullStr Informational frictions in the Brazilian health insurance market
title_full_unstemmed Informational frictions in the Brazilian health insurance market
title_sort Informational frictions in the Brazilian health insurance market
author Fonseca, Ricardo Barros de Aquino
author_facet Fonseca, Ricardo Barros de Aquino
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EPGE
dc.contributor.affiliation.none.fl_str_mv FGV
dc.contributor.member.none.fl_str_mv Sant'Anna, Marcelo Castello Branco
Castro, Rudi Rocha de
dc.contributor.author.fl_str_mv Fonseca, Ricardo Barros de Aquino
dc.contributor.advisor1.fl_str_mv Trindade, André Garcia de Oliveira
contributor_str_mv Trindade, André Garcia de Oliveira
dc.subject.eng.fl_str_mv Health insurance market
Discrete-choice models
Asymmetric information
Brazil
topic Health insurance market
Discrete-choice models
Asymmetric information
Brazil
Saúde
Seguro-saúde - Brasil
Informação assimétrica
Processo decisório
dc.subject.area.por.fl_str_mv Saúde
dc.subject.bibliodata.por.fl_str_mv Seguro-saúde - Brasil
Informação assimétrica
Processo decisório
description I test for the existence of moral hazard and adverse selection in the Brazilian health insurance market. I use the positive correlation test, proposed by Chiappori and Salanié (2000), to assess the existence of asymmetric information in this market. I estimate the effect of health plan on treatment usage, controlling for many variables (measured blood pressure, age, smoker, etc.), identifying the effect of the plan. I use this coefficients as plan characteristics and estimate their effects on plan purchase using a simple logit regression. The coefficients from this estimation show the relative importance of anticipated moral hazard of different treatments on health plan choice. I find evidence of asymmetric information in the market for every state, in either the Metropolitan Area or not, and for the country as a whole. When performing the positive correlation test using hospitalizations as the usage variable, where moral hazard is assumed to be controlled, I find this evidence only for young women and for the last age group (59 years or more). I find no evidence of asymmetric information for plans paid through work, as expected. Several treatments are used more by people with plans, even when controlling for adverse selection. The analysis suggests that some of those are relevant for plan purchase.
publishDate 2017
dc.date.accessioned.fl_str_mv 2017-07-04T18:13:40Z
dc.date.available.fl_str_mv 2017-07-04T18:13:40Z
dc.date.issued.fl_str_mv 2017-03-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv FONSECA, Ricardo Barros de Aquino. Informational frictions in the Brazilian health insurance market. Dissertação (Mestrado em Economia) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2017.
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10438/18413
identifier_str_mv FONSECA, Ricardo Barros de Aquino. Informational frictions in the Brazilian health insurance market. Dissertação (Mestrado em Economia) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2017.
url https://hdl.handle.net/10438/18413
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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