Asymmetry in earnings timeliness and persistence: a simultaneous equations approach
William H. Beaver (),
Wayne R. Landsman and
Edward L. Owens
Additional contact information
William H. Beaver: Stanford University
Wayne R. Landsman: University of North Carolina
Edward L. Owens: University of Rochester
Review of Accounting Studies, 2012, vol. 17, issue 4, No 2, 806 pages
Abstract:
Abstract This study addresses simultaneity bias in piecewise linear forms of the earnings-return relation. We specify an overidentified system of simultaneous equations that incorporates both asymmetric earnings timeliness and asymmetric earnings persistence specifications and implement two-stage least squares for this piecewise linear system. Estimation of a system that is piecewise linear in endogenous variables presents several issues that are unprecedented in the accounting literature. Findings provide evidence that the asymmetric timeliness specification is particularly affected by simultaneity and that failing to correct for simultaneity results in coefficient estimates that potentially understate the degree of asymmetric earnings timeliness. Moreover, inferences regarding how conditional conservatism has evolved over time are sensitive to whether OLS or 2SLS coefficients are used as the basis of comparison.
Keywords: Asymmetric timeliness; Asymmetric persistence; Simultaneity; Earnings-return relation; Accounting conservatism (search for similar items in EconPapers)
JEL-codes: C33 G14 M41 (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11142-011-9174-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:reaccs:v:17:y:2012:i:4:d:10.1007_s11142-011-9174-3
Ordering information: This journal article can be ordered from
http://www.springer.com/accounting/journal/11142
DOI: 10.1007/s11142-011-9174-3
Access Statistics for this article
Review of Accounting Studies is currently edited by Paul Fischer
More articles in Review of Accounting Studies from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().