Informational frictions in the Brazilian health insurance market
Autor(a) principal: | |
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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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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/downloade7b4b3ca5bd2ac48a5210cc203f14443MD54PDF.txtPDF.txtExtracted 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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 |
format |
masterThesis |
status_str |
publishedVersion |
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 |
eu_rights_str_mv |
openAccess |
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