Proxies and databases in financial misconduct research Jonathan M. Karpoff, Allison Koester, D. Scott Lee & Gerald S. Martin

Por: Colaborador(es): Tipo de material: ArtículoArtículoDescripción: Páginas 129 a la 163Tema(s): En: The accounting review 2017 V.92 No.6 (Nov)Incluye tablas, figuras y referencias bibliográficasResumen: An extensive literature examines the causes and effects of financial misconduct based on samples drawn from four popular databases that identify restatements, securities class action lawsuits, and Accounting and Auditing Enforcement Releases (AAERs). We show that the results from empirical tests can depend on which database is accessed. To examine the causes of such discrepancies, we compare the information in each database to a detailed sample of 1,243 case histories in which regulators brought enforcement actions for financial misrepresentation. These comparisons allow us to identify, measure, and estimate the economic importance of four features of each database that affect inferences from empirical tests. We show the extent to which each database is subject to these concerns and offer suggestions for researchers using these databases.
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Revistas Central Bogotá Sala Hemeroteca Colección Hemeroteca 657 (Navegar estantería(Abre debajo)) 2017 V.92 No.6 (Nov) 1 Disponible 0000002032280

An extensive literature examines the causes and effects of financial misconduct based on samples drawn from four popular databases that identify restatements, securities class action lawsuits, and Accounting and Auditing Enforcement Releases (AAERs). We show that the results from empirical tests can depend on which database is accessed. To examine the causes of such discrepancies, we compare the information in each database to a detailed sample of 1,243 case histories in which regulators brought enforcement actions for financial misrepresentation. These comparisons allow us to identify, measure, and estimate the economic importance of four features of each database that affect inferences from empirical tests. We show the extent to which each database is subject to these concerns and offer suggestions for researchers using these databases.

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