Proper Inferences or a Market for Excuses? The Capital-Market Effects of Mandatory IFRS Adoption
Hans Bonde Christensen
University of Chicago - Booth School of Business
University of Pennsylvania - The Wharton School
University of Chicago - Booth School of Business; National Bureau of Economic Research (NBER); European Corporate Governance Institute (ECGI); Center for Financial Studies (CFS); University of Pennsylvania - Wharton Financial Institutions Center; CESifo Research Network
October 11, 2013
Barth and Israeli (2013) raise five serious concerns regarding the research design and interpretation of Christensen, Hail, and Leuz (2013). They claim: (i) the evidence stands in stark contrast to Daske, Hail, Leuz, and Verdi (2008) and fails to replicate its prior findings; (ii) the research design using fixed effects leaves out main effects and two-way interactions which likely biases the estimated liquidity effects around IFRS adoption and changes in enforcement; (iii) the vast majority of sample observations do not contribute to the identification which is misleading in terms of the scope and the conclusions that can be drawn from the study; (iv) the timing of IFRS adoption and enforcement changes is measured imprecisely leading to low power tests; and (v) the evidence from Japan is irrelevant to the study. In this note, we show that all five claims are incorrect or misleading. Our discussion also more broadly describes how to properly interpret the fixed-effect specifications in Christensen, Hail, and Leuz (2013). Since studies in accounting, finance, and economics make extensive use of fixed-effect models, a correct understanding of this research design is important to avoid interpretational mistakes. More generally, we discuss that proper empirical identification and inferences are important to international accounting and IFRS studies so that this area of research does not become a market for excuses.
Number of Pages in PDF File: 26
Keywords: Barth and Israeli Discussion, IFRS, Enforcement, International Accounting, Liquidity, Policy Implications, Identification
JEL Classification: G14, G15, G30, K22, M41, M48
Date posted: September 2, 2013 ; Last revised: October 12, 2013
© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo7 in 0.391 seconds