An Empirical test of a Judgemental International Classification of Financial Reporting Practices

Doupnik, Timothy S.; Salter, Stephen B.

doi:10.1057/palgrave.jibs.8490224

Cited by 116 publications

(68 citation statements)

References 9 publications

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“…Salter and Niswander (1995) attempted to test Gray's (1988) theory by taking previously published research (e.g. Doupnik and Salter, 1993;Bavishi, 1991) and applying statistical tests. This indicated that Gray's (1988) model had statistically significant explanatory power.…”

Section: National Culture and Accountingmentioning

confidence: 99%

International Financial Reporting Standards

Burton¹,

Jermakowicz²

2015

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International studies of accounting have recognised the importance of 'culture' in accounting systems. Various definitions of and proxies for culture have been used in the accounting literature. These have contributed little to our understanding, save that culture is a complex issue and is clearly important for the development and practice of accounting. This paper brings together two strands of literature (culture and regulatory compliance) to point out practical weaknesses in the transition to global reporting in the form of International Financial Reporting Standards (IFRS). The discussion centres on the European Union (EU), a culturally diverse region that is requiring the use of IFRS in the consolidated financial statements of listed companies from 2005. The article goes on to contribute to the emerging literature on enforcement by proposing a model for policing IFRS.

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Section: National Culture and Accountingmentioning

confidence: 99%

International Financial Reporting Standards

Burton¹,

Jermakowicz²

2015

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“…Nobes (1983) identified several problems with the previous classifications (lack of precision, lack of a model, lack of hierarchy, and lack of judgment) and presented himself a hierarchic classification of fourteen countries. Doupnik and Salter (1993) tested the Nobes (1983) classification using the cluster analysis and found nine separate clusters. The international diversity of accounting practices obviously implies that even if country-specific prediction models are based on the same technique and include the same financial variables, they may refer to different accounting events and behave in a different way due to different content of financial variables.…”

Section: Factors Affecting International Applicability Of Failure Rismentioning

confidence: 99%

“…For the second factor, Serbia, Spain, and Greece show the highest loadings. The grouping based on the loadings can be compared with Laitinen (2002) for rating models, and Nobes (1983) and Doupnik & Salter (1993) for financial reporting systems, to the degree in which these studies include same countries. If the grouping is compared with Laitinen (2002), the first group is quite similar except for Spain which belongs to the second group in this study.…”

Section: Classification Of Countriesmentioning

confidence: 99%

International Applicability of Corporate Failure Risk Models Based on Financial Statement Information: Comparisons across European Countries

Laitinen¹,

Suvas²

2013

JFE

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Abstract:The objective of the study is, firstly, to analyse the predictability of financial distress in different European countries. Secondly, the objective is to compare predictability across countries. Thirdly, the objective is to investigate possibilities to develop a generic uniform model to predict distress in each country over Europe. The sample includes over one million active and tens of thousands financially distressed firms from 30 European countries. For each country, a prediction model of its own is estimated. The models and their performance in prediction accuracy are compared across countries. Finally, a uniform generic model is estimated for the sample including all countries and its prediction accuracy is assessed by country. The results show that there are differences in the form and strength of prediction models across different European countries. However, it is possible to develop a uniform generic model resulting in a reasonably high rate of classification accuracy for most countries.JEL Classifications: G15, G32, G33

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“…Previous research shows that some clusters exist in disclosure practices i.e. countries under the infl uence of Anglo-American or Continental European (Doupnik & Salter 1993).…”

Section: Introductionmentioning

confidence: 99%