Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10953/1161
Título: Using partial least squares in archival accounting research: an application to earnings quality measuring
Otros títulos: Utilización de Mínimos Cuadrados Parciales en la investigación contable de archivo: Aplicación a la medición de la calidad del resultado
Autoría: Licerán-Gutiérrez, Cano Rodríguez, Manuel Ana
Resumen: Despite the advantages of Structural Equation Modelling (SEM) over regression models that have contributed to its popularisation in several fields of research in social sciences, it has not been broadly applied in archival accounting research. In this paper, we present a guidance for the application of SEM – and, particularly, the Partial Least Squares (PLS) method – to the (arguably) most recurrent topic on empirical archival accounting research: earnings quality. We highlight several problems that arise in earnings quality measuring, indicating how PLS can help to overcome them. We also run a simulation process whose results show that PLS method outperforms the other approaches even in situations of limited information.
Palabras clave: Structural equation models (SEM)
partial least squares (PLS)
earnings dimensions
earnings quality
Fecha de publicación: 9-may-2019
Patrocinador: PGC2018-096440-B-I00
Editorial: Taylor & Francis Online
Citación: Ana Licerán-Gutiérrez & Manuel Cano-Rodríguez (2020) Using partial least squares in archival accounting research: an application to earnings quality measuring, Spanish Journal of Finance and Accounting / Revista Española de Financiación y Contabilidad, 49:2, 143-170, DOI: 10.1080/02102412.2019.1608705
Aparece en las colecciones: DEFC-Artículos



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