Learning in peer-to-peer markets: evidence from Airbnb

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Wu, Edson An An
Orientador(a): Trindade, André Garcia de Oliveira
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Learning
Peer-to-peer markets
Airbnb
Link de acesso: http://hdl.handle.net/10438/16568
Resumo: Peer-to-peer markets are highly uncertain environments due to the constant presence of shocks. As a consequence, sellers have to constantly adjust to these shocks. Dynamic Pricing is hard, especially for non-professional sellers. We study it in an accommodation rental marketplace, Airbnb. With scraped data from its website, we: 1) describe pricing patterns consistent with learning; 2) estimate a demand model and use it to simulate a dynamic pricing model. We simulate it under three scenarios: a) with learning; b) without learning; c) with full information. We have found that information is an important feature concerning rental markets. Furthermore, we have found that learning is important for hosts to improve their profits.
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spelling Wu, Edson An AnEscolas::EPGEDemais unidades::RPCAFGVGorno, LeandroCaldieraro, FabioTrindade, André Garcia de Oliveira2016-06-06T13:43:11Z2016-06-06T13:43:11Z2016WU, Edson An An. Learning in peer-to-peer markets: evidence from Airbnb. Dissertação (Mestrado em Economia) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2016.http://hdl.handle.net/10438/16568Peer-to-peer markets are highly uncertain environments due to the constant presence of shocks. As a consequence, sellers have to constantly adjust to these shocks. Dynamic Pricing is hard, especially for non-professional sellers. We study it in an accommodation rental marketplace, Airbnb. With scraped data from its website, we: 1) describe pricing patterns consistent with learning; 2) estimate a demand model and use it to simulate a dynamic pricing model. We simulate it under three scenarios: a) with learning; b) without learning; c) with full information. We have found that information is an important feature concerning rental markets. Furthermore, we have found that learning is important for hosts to improve their profits.engLearningPeer-to-peer marketsAirbnbEconomiaArquitetura não-hierárquica (Rede de computador)Anúncios - Indústria de hospitalidade - Inovações tecnológicasEmpresas novasLearning in peer-to-peer markets: evidence from Airbnbinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINALDissertation - V20160422.pdfDissertation - V20160422.pdfapplication/pdf3700609http://bibliotecadigital.fgv.br:80/dspace/bitstream/10438/16568/1/Dissertation%20-%20V20160422.pdffd4bc7b83bbddb6dc18e2b24154d988fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84707http://bibliotecadigital.fgv.br:80/dspace/bitstream/10438/16568/2/license.txtdfb340242cced38a6cca06c627998fa1MD52TEXTDissertation - V20160422.pdf.txtDissertation - 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dc.title.eng.fl_str_mv Learning in peer-to-peer markets: evidence from Airbnb
title Learning in peer-to-peer markets: evidence from Airbnb
spellingShingle Learning in peer-to-peer markets: evidence from Airbnb
Wu, Edson An An
Learning
Peer-to-peer markets
Airbnb
Economia
Arquitetura não-hierárquica (Rede de computador)
Anúncios - Indústria de hospitalidade - Inovações tecnológicas
Empresas novas
title_short Learning in peer-to-peer markets: evidence from Airbnb
title_full Learning in peer-to-peer markets: evidence from Airbnb
title_fullStr Learning in peer-to-peer markets: evidence from Airbnb
title_full_unstemmed Learning in peer-to-peer markets: evidence from Airbnb
title_sort Learning in peer-to-peer markets: evidence from Airbnb
author Wu, Edson An An
author_facet Wu, Edson An An
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EPGE
Demais unidades::RPCA
dc.contributor.affiliation.none.fl_str_mv FGV
dc.contributor.member.none.fl_str_mv Gorno, Leandro
Caldieraro, Fabio
dc.contributor.author.fl_str_mv Wu, Edson An An
dc.contributor.advisor1.fl_str_mv Trindade, André Garcia de Oliveira
contributor_str_mv Trindade, André Garcia de Oliveira
dc.subject.por.fl_str_mv Learning
Peer-to-peer markets
Airbnb
topic Learning
Peer-to-peer markets
Airbnb
Economia
Arquitetura não-hierárquica (Rede de computador)
Anúncios - Indústria de hospitalidade - Inovações tecnológicas
Empresas novas
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Arquitetura não-hierárquica (Rede de computador)
Anúncios - Indústria de hospitalidade - Inovações tecnológicas
Empresas novas
description Peer-to-peer markets are highly uncertain environments due to the constant presence of shocks. As a consequence, sellers have to constantly adjust to these shocks. Dynamic Pricing is hard, especially for non-professional sellers. We study it in an accommodation rental marketplace, Airbnb. With scraped data from its website, we: 1) describe pricing patterns consistent with learning; 2) estimate a demand model and use it to simulate a dynamic pricing model. We simulate it under three scenarios: a) with learning; b) without learning; c) with full information. We have found that information is an important feature concerning rental markets. Furthermore, we have found that learning is important for hosts to improve their profits.
publishDate 2016
dc.date.accessioned.fl_str_mv 2016-06-06T13:43:11Z
dc.date.available.fl_str_mv 2016-06-06T13:43:11Z
dc.date.issued.fl_str_mv 2016
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 WU, Edson An An. Learning in peer-to-peer markets: evidence from Airbnb. Dissertação (Mestrado em Economia) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2016.
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10438/16568
identifier_str_mv WU, Edson An An. Learning in peer-to-peer markets: evidence from Airbnb. Dissertação (Mestrado em Economia) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2016.
url http://hdl.handle.net/10438/16568
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
dc.source.none.fl_str_mv reponame:Repositório Institucional do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
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