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Título : Hospitality Bankruptcy in United States of America: A Multiple Discriminant Analysis-Logit Model Comparison
Autor : Barreda, Albert A.
Kageyama, Yoshimasa
Singh, Dipendra
Zubieta, Sandra
Palabras clave : Quiebra
Industria hotelera
Restaurantes
Análisis de regresión
Análisis estadístico multivariable
Pérdida financiera
Bankruptcy
Multivariate analysis
Hotel industry
Catering industry
Fecha de publicación : 2-ene-2017
Editorial : Routledge
Citación : Barreda, A. A., Kageyama, Y., Singh, D., & Zubieta, S. (2016). Hospitality Bankruptcy in United States of America: A Multiple Discriminant Analysis-Logit Model Comparison. Journal of Quality Assurance in Hospitality & Tourism, 18(1), 86-106.
Resumen : This study examines bankruptcy prediction of hospitality firms within U.S. equity markets. The article investigates whether the Logit model or the Multiple Discriminant Analysis (MDA) accurately predict bankruptcy, specifically it attempts to investigate how accurate Logit and MDA models are. Various key financial variables were utilized as predictors and contrasting samples of both bankrupt and non-bankrupt firms for the period 1992–2010 were used. In this analysis Statistical software SPSS 20 was utilized for the analysis. Results show that for the period 1992–2010, the MDA model outperformed the Logit model for overall bankruptcy prediction. Theoretical and practical implications were offered based on the results. The study is critical given the significant number of hospitality enterprises being intensely impacted by the recent economic downturn. Consequently, the hospitality industry in United States demands higher degree of accuracy from bankruptcy prediction models to forecast economic failure.
URI : http://repositorio.usil.edu.pe/handle/123456789/1753
http://dx.doi.org/10.1080/1528008X.2016.1169471
ISSN : 1528-0098
Aparece en las colecciones: Artículos Académico-científicos

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