A review on the multidimensional analysis of earnings quality

There is a generalized consensus among accounting researchers about the multidimensional nature of earnings quality: Earnings quality depends on a series of characteristics that enhance the usefulness of the earnings figure for decision making. In this paper, we undertake a literature revision on em...

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Detalles Bibliográficos
Autores: Licerán-Gutiérrez, Ana, Cano-Rodríguez, Manuel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/1376
Acceso en línea:https://www.doi.org/10.6018/rcsar.22.1.354301
https://hdl.handle.net/10953/1376
Access Level:acceso abierto
Palabra clave:Earnings quality
Earnings management
Earnings smoothing
Predictability
Conservatism
Structural Equation Models
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spelling A review on the multidimensional analysis of earnings qualityUna revisión del análisis multidimensional de la calidad del resultado contableLicerán-Gutiérrez, AnaCano-Rodríguez, ManuelEarnings qualityEarnings managementEarnings smoothingPredictabilityConservatismStructural Equation ModelsThere is a generalized consensus among accounting researchers about the multidimensional nature of earnings quality: Earnings quality depends on a series of characteristics that enhance the usefulness of the earnings figure for decision making. In this paper, we undertake a literature revision on empirical research on earnings quality that reveals that, although earnings quality is probably the most recurrent topic in accounting, empirical research that have treated earnings quality as a multidimensional concept is almost inexistent. In this sense, we document that: (1) Most of the empirical papers on earnings quality deal with just one earnings characteristic, not including the potential effect of the other characteristics related to earnings quality. (2) Some characteristics (particularly, accruals quality and, in a lesser way, conservatism) are widely employed for representing earnings quality, whereas other characteristics (smoothness, persistence) are much less used by researchers. (3) The research on the relationships among the different earnings quality characteristics is scant and with mixed results. (4) Only a few papers develop multidimensional measures of earnings quality, but these measures are based on too restrictive assumptions and there is no evidence of superiority over single-dimension measures. We complement our bibliometric analysis by discussing the limitations of both the single-dimension approach and the multidimensional approaches used to date, illustrating our arguments with a simulation process. Henceforth, this review contributes to prior literature highlighting the main problems in prior literature for earnings quality measurement.Editum202420242019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.doi.org/10.6018/rcsar.22.1.354301https://hdl.handle.net/10953/1376reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésRevista de Contabilidad - Spanish Accounting Reviewinfo:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/13762026-06-24T12:41:07Z
dc.title.none.fl_str_mv A review on the multidimensional analysis of earnings quality
Una revisión del análisis multidimensional de la calidad del resultado contable
title A review on the multidimensional analysis of earnings quality
spellingShingle A review on the multidimensional analysis of earnings quality
Licerán-Gutiérrez, Ana
Earnings quality
Earnings management
Earnings smoothing
Predictability
Conservatism
Structural Equation Models
title_short A review on the multidimensional analysis of earnings quality
title_full A review on the multidimensional analysis of earnings quality
title_fullStr A review on the multidimensional analysis of earnings quality
title_full_unstemmed A review on the multidimensional analysis of earnings quality
title_sort A review on the multidimensional analysis of earnings quality
dc.creator.none.fl_str_mv Licerán-Gutiérrez, Ana
Cano-Rodríguez, Manuel
author Licerán-Gutiérrez, Ana
author_facet Licerán-Gutiérrez, Ana
Cano-Rodríguez, Manuel
author_role author
author2 Cano-Rodríguez, Manuel
author2_role author
dc.subject.none.fl_str_mv Earnings quality
Earnings management
Earnings smoothing
Predictability
Conservatism
Structural Equation Models
topic Earnings quality
Earnings management
Earnings smoothing
Predictability
Conservatism
Structural Equation Models
description There is a generalized consensus among accounting researchers about the multidimensional nature of earnings quality: Earnings quality depends on a series of characteristics that enhance the usefulness of the earnings figure for decision making. In this paper, we undertake a literature revision on empirical research on earnings quality that reveals that, although earnings quality is probably the most recurrent topic in accounting, empirical research that have treated earnings quality as a multidimensional concept is almost inexistent. In this sense, we document that: (1) Most of the empirical papers on earnings quality deal with just one earnings characteristic, not including the potential effect of the other characteristics related to earnings quality. (2) Some characteristics (particularly, accruals quality and, in a lesser way, conservatism) are widely employed for representing earnings quality, whereas other characteristics (smoothness, persistence) are much less used by researchers. (3) The research on the relationships among the different earnings quality characteristics is scant and with mixed results. (4) Only a few papers develop multidimensional measures of earnings quality, but these measures are based on too restrictive assumptions and there is no evidence of superiority over single-dimension measures. We complement our bibliometric analysis by discussing the limitations of both the single-dimension approach and the multidimensional approaches used to date, illustrating our arguments with a simulation process. Henceforth, this review contributes to prior literature highlighting the main problems in prior literature for earnings quality measurement.
publishDate 2019
dc.date.none.fl_str_mv 2019
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.doi.org/10.6018/rcsar.22.1.354301
https://hdl.handle.net/10953/1376
url https://www.doi.org/10.6018/rcsar.22.1.354301
https://hdl.handle.net/10953/1376
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Revista de Contabilidad - Spanish Accounting Review
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editum
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dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
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