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Retracted: Recognition v. Disclosure, Auditor Tolerance for Misstatement, and the Reliability of Stock-Compensation and Lease Information

Journal of Accounting Research 2006 44(3), 533-560 open access
We examine whether information in footnotes might lack reliability because auditors permit more misstatement in disclosed, as opposed to recognized, amounts. In both the stock-compensation and lease settings, audit partners require greater correction of misstatements in recognized amounts than in the equivalent disclosed amounts. Debriefing questions indicate that the partners make these decisions knowingly, even though they expect greater client resistance to correcting recognized amounts, because they view recognized amounts as more material. Partners also spend more time on correction decisions for recognized information. While prior literature suggests that amounts are often relegated to footnotes because they are less reliable, our results suggest that the actual choice to disclose versus recognize can also reduce information reliability. These results have implications for the interpretation of prior research on the reliability of recognized and disclosed numbers, for financial-accounting standard setters who may want to consider the reliability effects of their recognition versus disclosure decisions, and for auditing standard setters who may wish to clarify auditors' responsibilities for preventing misstatements in disclosed amounts.

Gathering Data for Archival, Field, Survey, and Experimental Accounting Research

Journal of Accounting Research 2016 54(2), 341-395 open access
In the published proceedings of the first Journal of Accounting Research Conference, Vatter [1966] lamented that “Gathering direct and original facts is a tedious and difficult task, and it is not surprising that such work is avoided.” For the fiftieth JAR Conference, we introduce a framework to help researchers understand the complementary value of seven empirical methods that gather data in different ways: prestructured archives, unstructured (“hand‐collected”) archives, field studies, field experiments, surveys, laboratory studies, and laboratory experiments. The framework spells out five goals of an empirical literature and defines the seven methods according to researchers’ choices with respect to five data gathering tasks. We use the framework and examples of successful research studies in the financial reporting literature to clarify how data gathering choices affect a study's ability to achieve its goals, and conclude by showing how the complementary nature of different methods allows researchers to build a literature more effectively than they could with less diverse approaches to gathering data.