Learning in peer-to-peer markets: evidence from Airbnb
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | https://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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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.https://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/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVFGV EPGE - Dissertações, Mestrado em EconomiaProjetos de Pesquisa AplicadaORIGINALPDFPDFapplication/pdf3700609https://repositorio.fgv.br/bitstreams/49098e8f-2b63-48f4-a691-45645d673a65/downloadfd4bc7b83bbddb6dc18e2b24154d988fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84707https://repositorio.fgv.br/bitstreams/a1e9ae21-ad07-4acb-9aad-829cc8702473/downloaddfb340242cced38a6cca06c627998fa1MD52TEXTDissertation - 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 |
https://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 |
https://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 |
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