Multiple social science researchers claim that online data collection, mainly via Amazon's Mechanical Turk (MTurk), has revolutionized the behavioral sciences (Gureckis et al. 2016; Litman, Robinson, and Abberbock 2017). While MTurk-based research has grown exponentially in recent years (Chandler and Shapiro 2016), reasonable concerns have been raised about online research participants' ability to proxy for traditional research participants (Chandler, Mueller, and Paolacci 2014). This paper reviews recent MTurk research and provides further guidance for recruiting samples of MTurk participants from populations of interest to behavioral accounting researchers. First, we provide guidance on the logistics of using MTurk and discuss the potential benefits offered by TurkPrime, a third-party service provider. Second, we discuss ways to overcome challenges related to targeted participant recruiting in an online environment. Finally, we offer suggestions for disclosures that authors may provide about their efforts to attract participants and analyze responses.
We use reverse mergers to examine the impact of litigation risk on audit fees. In a reverse merger, a private company merges with a public company, and the private company's management takes over the resulting publicly traded firm. Reverse mergers create a unique test setting to provide estimates on the litigation risk premium because, while the litigation risk for formerly private firms whose equity becomes publicly traded increases, the remaining auditee-and auditor-related characteristics remain virtually unchanged. We document a litigation risk premium of approximately 27 percent. Moreover, we document that equity dispersion impacts the audit fee pricing of litigation risk and this relation is dramatically magnified in the publicly traded realm. Finally, we find that institutional investors demand higher audit effort in the form of higher audit fees in both the private-and public-equity settings.
The use of online workers as research participants has grown in recent years, prompting interest in how online workers compare to traditional accounting research participants. To date, no study has compared the relative intelligence of online workers to student subjects. Such a comparison may be important to behavioral accounting researchers given the homogeneity of accounting students relative to online subject pools and given prior research suggesting accounting students have relatively high analytic ability. While graduate students outperform both undergraduate and MTurk participants on common intelligence tests and across two reasonably complex tasks, we find that MTurk participants perform similarly to undergraduate accounting students. Overall, our results provide incremental assurance that MTurk participants are suitable subjects when accounting expertise is not explicitly required. We also provide evidence that screening MTurk workers on intelligence scores may benefit researchers who require participants with relatively high cognitive ability.
This study examines whether accounting quality changed for a diverse set of German firms that were required to switch accounting standards from U.S. Generally Accepted Accounting Principles (U.S. GAAP) to International Financial Reporting Standards (IFRS) (MANDATORY sample). Additionally, we utilize a control sample of German firms that report using IFRS during the entire sample period (CONTROL sample). In both the MANDATORY and CONTROL samples, we find evidence of decreased conditional conservatism, increased value relevance of earnings, and smoother earnings surrounding the mandatory IFRS adoption period. Further, we find no evidence that these changes in accounting quality proxies are significantly different between the MANDATORY and CONTROL samples. While we do not draw causal inferences, results are consistent with the notion that other concurrent changes within Germany, such as economic shocks or the changes in the institutional environment (e.g., enforcement system) documented in Christensen, Hail, and Leuz (2013), are driving the observed changes in accounting quality, rather than the transition from U.S. GAAP to IFRS.
SYNOPSIS U.S. corporations have the ability to avoid paying domestic taxes to achieve an effective tax rate that is much lower than the statutory federal tax rate. This study evaluates the extent that individuals differ in their attitudes about the ethicality of corporations avoiding domestic taxes to achieve low effective tax rates. We also examine the extent to which the specific tax avoidance method used by corporations to access a low effective tax rate affects perceived ethicality. Eighty-two members of the general public and 112 accountants participated in an experiment with two participant groups and three tax avoidance methods manipulated randomly between subjects. The results indicate a significant interaction between participant group and tax avoidance method, with the general public considering shifting profits out of the country to achieve a low effective tax rate to be highly unethical, while the accountants find tax avoidance from carrying forward prior operating losses to be highly ethical. Further, mediation analysis indicates that perceived fairness and legality mediate the effects of participant type on perceived ethicality. Mediation analysis also reveals that sense of fairness and legality mediate the link between tax avoidance method and perceived ethicality. We conclude by considering the study's policy, practice, and research implications.
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