Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry
Autor(a) principal: | |
---|---|
Data de Publicação: | 2007 |
Outros Autores: | , , , , |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações do INSPER |
Texto Completo: | https://repositorio.insper.edu.br/handle/11224/5102 |
Resumo: | Analyzing and anticipating competitor moves has been central to modern competitive strategy. In contexts involving intense interfirm interaction, the value of a particular strategy depends in large part on how competitors will react to it. Despite many developments, anecdotal evidence indicates that the effective use of techniques to gauge decisions based on competitive considerations has been scant in practice. Our paper intends to fill this void. Using data from the auto insurance industry in Brazil, we compare strategies that do and do not anticipate competitor reactions. Basically we show that it does pay to anticipate those reactions. An optimal strategy will explore both demand elasticities and competitors’ patterns of reaction. We show that such “strategic” policy is expected to outperform a “myopic” approach which ignores competitor reactions. We also develop an methodology to compute demand elasticities, reaction functions and numerically compute optimal reaction strategies. |
id |
INSP_ebc20df325df04f698df023d8218c82f |
---|---|
oai_identifier_str |
oai:repositorio.insper.edu.br:11224/5102 |
network_acronym_str |
INSP |
network_name_str |
Biblioteca Digital de Teses e Dissertações do INSPER |
repository_id_str |
|
spelling |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance IndustryAnalyzing and anticipating competitor moves has been central to modern competitive strategy. In contexts involving intense interfirm interaction, the value of a particular strategy depends in large part on how competitors will react to it. Despite many developments, anecdotal evidence indicates that the effective use of techniques to gauge decisions based on competitive considerations has been scant in practice. Our paper intends to fill this void. Using data from the auto insurance industry in Brazil, we compare strategies that do and do not anticipate competitor reactions. Basically we show that it does pay to anticipate those reactions. An optimal strategy will explore both demand elasticities and competitors’ patterns of reaction. We show that such “strategic” policy is expected to outperform a “myopic” approach which ignores competitor reactions. We also develop an methodology to compute demand elasticities, reaction functions and numerically compute optimal reaction strategies.Texto completoANPAD2022-12-20T14:50:28Z2022-12-20T14:50:28Z2007conference paperinfo:eu-repo/semantics/publishedVersionp. 1-15Digitalapplication/pdf2177-25762177-2568https://repositorio.insper.edu.br/handle/11224/5102EnANPAD - Encontro da ANPADBrasilRio de JaneiroO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DOS USUÁRIOS INDIVIDUAIS VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITORinfo:eu-repo/semantics/openAccessLazzarini, Sergio GiovanettiMoura, Marcelo L.Caetano, Marco Antônio LeonelArtes, RinaldoGoldberg, Marcelo B.Silva, César E.Lazzarini, Sergio GiovanettiMoura, Marcelo L.Caetano, Marco Antônio LeonelArtes, RinaldoGoldberg, Marcelo B.Silva, César E.porreponame:Biblioteca Digital de Teses e Dissertações do INSPERinstname:Instituição de Ensino Superior e de Pesquisa (INSPER)instacron:INSPER2024-04-01T12:28:58Zoai:repositorio.insper.edu.br:11224/5102Biblioteca Digital de Teses e Dissertaçõeshttps://www.insper.edu.br/biblioteca-telles/PRIhttps://repositorio.insper.edu.br/oai/requestbiblioteca@insper.edu.br ||opendoar:2024-04-01T12:28:58Biblioteca Digital de Teses e Dissertações do INSPER - Instituição de Ensino Superior e de Pesquisa (INSPER)false |
dc.title.none.fl_str_mv |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry |
title |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry |
spellingShingle |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry Lazzarini, Sergio Giovanetti |
title_short |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry |
title_full |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry |
title_fullStr |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry |
title_full_unstemmed |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry |
title_sort |
Strategic Pricing Incorporating an Anticipation of Competitors' Reactions: a Study in the Auto Insurance Industry |
author |
Lazzarini, Sergio Giovanetti |
author_facet |
Lazzarini, Sergio Giovanetti Moura, Marcelo L. Caetano, Marco Antônio Leonel Artes, Rinaldo Goldberg, Marcelo B. Silva, César E. |
author_role |
author |
author2 |
Moura, Marcelo L. Caetano, Marco Antônio Leonel Artes, Rinaldo Goldberg, Marcelo B. Silva, César E. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lazzarini, Sergio Giovanetti Moura, Marcelo L. Caetano, Marco Antônio Leonel Artes, Rinaldo Goldberg, Marcelo B. Silva, César E. Lazzarini, Sergio Giovanetti Moura, Marcelo L. Caetano, Marco Antônio Leonel Artes, Rinaldo Goldberg, Marcelo B. Silva, César E. |
description |
Analyzing and anticipating competitor moves has been central to modern competitive strategy. In contexts involving intense interfirm interaction, the value of a particular strategy depends in large part on how competitors will react to it. Despite many developments, anecdotal evidence indicates that the effective use of techniques to gauge decisions based on competitive considerations has been scant in practice. Our paper intends to fill this void. Using data from the auto insurance industry in Brazil, we compare strategies that do and do not anticipate competitor reactions. Basically we show that it does pay to anticipate those reactions. An optimal strategy will explore both demand elasticities and competitors’ patterns of reaction. We show that such “strategic” policy is expected to outperform a “myopic” approach which ignores competitor reactions. We also develop an methodology to compute demand elasticities, reaction functions and numerically compute optimal reaction strategies. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007 2022-12-20T14:50:28Z 2022-12-20T14:50:28Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
2177-2576 2177-2568 https://repositorio.insper.edu.br/handle/11224/5102 |
identifier_str_mv |
2177-2576 2177-2568 |
url |
https://repositorio.insper.edu.br/handle/11224/5102 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
EnANPAD - Encontro da ANPAD |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
p. 1-15 Digital application/pdf |
dc.coverage.none.fl_str_mv |
Brasil Rio de Janeiro |
dc.publisher.none.fl_str_mv |
ANPAD |
publisher.none.fl_str_mv |
ANPAD |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações do INSPER instname:Instituição de Ensino Superior e de Pesquisa (INSPER) instacron:INSPER |
instname_str |
Instituição de Ensino Superior e de Pesquisa (INSPER) |
instacron_str |
INSPER |
institution |
INSPER |
reponame_str |
Biblioteca Digital de Teses e Dissertações do INSPER |
collection |
Biblioteca Digital de Teses e Dissertações do INSPER |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações do INSPER - Instituição de Ensino Superior e de Pesquisa (INSPER) |
repository.mail.fl_str_mv |
biblioteca@insper.edu.br || |
_version_ |
1814986249755164672 |