Demand Forecast For Brazilian Championship Games Using Generalized Linear Regression Model

Página do item simplificado
dc.contributor.authorBortoluzzo, Maurício Mesquita
dc.contributor.authorADRIANA BRUSCATO BORTOLUZZO
dc.contributor.authorMachado, Sérgio Jurandyr
dc.coverage.cidadeSão Paulopt_BR
dc.coverage.paisBrasilpt_BR
dc.creatorBortoluzzo, Maurício Mesquita
dc.creatorMachado, Sérgio Jurandyr
dc.date.accessioned2022-08-13T13:33:38Z
dc.date.available2022-08-13T13:33:38Z
dc.date.issued2015
dc.description.notesResumo expandido apresentando em Seminários em Administraçãopt_BR
dc.description.otherFor the efficient of sales and marketing management of athletic clubs, it is crucial that there be a way to appropriately estimate the level of demand for the sporting events. More precise estimates allow for an appropriate financial and operational plan, which results in better club performance and a higher quality of service delivered to the fans. The focus of this study is to analyze and to forecast the demand for soccer games in Brazilian stadiums. We compare the results of the regression model with normally distributed errors (benchmark), the TOBIT model and the Gamma and Poisson generalized linear model. The models included explanatory variables related to the economic environment, product quality and monetary and non-monetary incentives that people have to go to the stadium, and we showed that most of these variables are statistically significant to explain the amount of fans that go to the stadiums. We used different measures of accuracy to evaluate the performance of demand forecasts and concluded that generalized linear models presented better results compared to the benchmark. Among these last models, the best predictions were obtained using the Gamma distribution, which allowed a better fit of the positive skewness of demand for tickets in the Brazilian Championship.pt_BR
dc.format.extentp. 1-15pt_BR
dc.format.mediumDigitalpt_BR
dc.identifier.issn2177-3866pt_BR
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/3978
dc.language.isoPortuguêspt_BR
dc.publisherUSPpt_BR
dc.rights.licenseO 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 EDITORpt_BR
dc.subject.keywordssports managementpt_BR
dc.subject.keywordsgeneralized linear regression modelpt_BR
dc.subject.keywordsdemandpt_BR
dc.subject.keywordssoccerpt_BR
dc.titleDemand Forecast For Brazilian Championship Games Using Generalized Linear Regression Modelpt_BR
dc.typeconference paper
dspace.entity.typePublication
local.description.eventXVIII SEMEADpt_BR
local.identifier.sourceUrihttps://www.researchgate.net/publication/304580839_DEMAND_FORECAST_FOR_BRAZILIAN_CHAMPIONSHIP_GAMES_USING_GENERALIZED_LINEAR_REGRESSION_MODEL
local.typeTrabalho de Eventopt_BR
relation.isAuthorOfPublicationccfd47d5-bd80-4464-98ce-629abb672e3d
relation.isAuthorOfPublication.latestForDiscoveryccfd47d5-bd80-4464-98ce-629abb672e3d
Arquivos
Pacote Original
Agora exibindo 1 - 1 de 1
N/D
Nome:
Evento_2015_Demand Forecast for Brazilian.pdf
Tamanho:
666.1 KB
Formato:
Adobe Portable Document Format
Descrição:
Evento_2015_Demand Forecast for Brazilian
Baixar
Licença do Pacote
Agora exibindo 1 - 1 de 1
N/D
Nome:
license.txt
Tamanho:
282 B
Formato:
Item-specific license agreed upon to submission
Descrição:
Baixar
Coleções
Coleção de Trabalhos Apresentados em Eventos