Propensity score matching (PSM) has become a popular technique for estimating average treatment effects (ATEs) in accounting research. In this study, we discuss the usefulness and limitations of PSM relative to more traditional multiple regression (MR) analysis. We discuss several PSM design choices and review the use of PSM in 86 articles in leading accounting journals from 2008–2014. We document a significant increase in the use of PSM from zero studies in 2008 to 26 studies in 2014. However, studies often oversell the capabilities of PSM, fail to disclose important design choices, and/or implement PSM in a theoretically inconsistent manner. We then empirically illustrate complications associated with PSM in three accounting research settings. We first demonstrate that when the treatment is not binary, PSM tends to confine analyses to a subsample of observations where the effect size is likely to be smallest. We also show that seemingly innocuous design choices greatly influence sample composi...

Propensity Score Matching in Accounting Research

Propensity score matching (PSM) has become a popular technique for estimating average treatment effects (ATEs) in accounting research. In this study, we discuss the usefulness and limitations of PSM relative to more traditional multiple regression (MR) analysis. We discuss several PSM design choices and review the use of PSM in 86 articles in leading accounting journals from 2008-2014. We document a significant increase in the use of PSM from 0 studies in 2008 to 26 studies in 2014. However, studies often oversell the capabilities of PSM, fail to disclose important design choices, and/or implement PSM in a theoretically inconsistent manner. We then empirically illustrate complications associated with PSM in three accounting research settings. We first demonstrate that when the treatment is not binary, PSM tends to confine analyses to a subsample of observations where the effect size is likely to be smallest. We also show that seemingly innocuous design choices greatly influence sample composition and estimates of the ATE. We conclude with suggestions for future research considering the use of matching methods.

We analyze a procedure common in empirical accounting and finance research where researchers use ordinary least squares to decompose a dependent variable into its predicted and residual components and use the residuals as the dependent variable in a second regression. This two‐step procedure is used to examine determinants of constructs such as discretionary accruals, real activities management, discretionary book‐tax differences, and abnormal investment. We show that the typical implementation of this procedure generates biased coefficients and standard errors that can lead to incorrect inferences, with both Type I and Type II errors. We further show that the magnitude of the bias in coefficients and standard errors is a function of the correlations between model regressors. We illustrate the potential magnitude of the bias in accounting research in four commonly used settings. Our results indicate significant bias in many of these settings. We offer three solutions to avoid the bias.

Incorrect Inferences When Using Residuals as Dependent Variables

The importance of the internal information environment for tax avoidance

This study investigates the relation between corporate political connections and tax aggressiveness. We study a broad array of corporate political activities, including the employment of connected directors, campaign contributions, and lobbying. Using a large hand-collected data set of U.S. firms' political connections, we find that politically connected firms are more tax aggressive than nonconnected firms, after controlling for other determinants of tax aggressiveness, industry and year fixed effects, and the endogenous choice of being politically connected. Our findings are robust to various measures of political connections and tax aggressiveness. These results are consistent with the conjecture that politically connected firms are more tax aggressive because of their lower expected cost of tax enforcement, better information regarding tax law and enforcement changes, lower capital market pressure for transparency, and greater risk-taking tendencies induced by political connections.

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=2732&context=soa_research

Corporate Political Connections and Tax Aggressiveness

This paper examines the impact of hedge fund activism on corporate tax avoidance. We find that, relative to matched control firms, businesses targeted by hedge fund activists exhibit lower tax avoidance levels prior to hedge fund intervention, but experience increases in tax avoidance after the intervention. Moreover, findings suggest that the increase in tax avoidance is greater when activists have a successful track record of implementing tax changes and possess tax interest or knowledge as indicated by their SEC 13D filings. We also find that these greater tax savings do not appear to result from an increased use of high-risk and potentially illegal tax strategies, such as sheltering. Taken together, the results suggest that shareholder monitoring of firms, in the form of hedge fund activism, improves tax efficiency.

The Effect of Hedge Fund Activism on Corporate Tax Avoidance

This paper examines the impact of hedge fund activism on corporate tax avoidance. We find that relative to matched control firms, businesses targeted by hedge fund activists exhibit lower tax avoidance levels prior to hedge fund intervention, but experience increases in tax avoidance after the intervention. Moreover, findings suggest that the increase in tax avoidance is greater when activists have a successful track record of implementing tax changes and possess tax interest or knowledge as indicated by their Securities and Exchange Commission (SEC) 13D filings. We also find that these greater tax savings do not appear to result from an increased use of high-risk and potentially illegal tax strategies, such as sheltering. Taken together, the results suggest that shareholder monitoring of firms, in the form of hedge fund activism, improves tax efficiency. JEL Classifications: G32; G34; H26. Data Availability: Data are available from sources identified in the text.

https://webapps.krannert.purdue.edu/kap/KATALYST/public/publications.aspx?personid=46881&publicationid=7223&attachmentid=686

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The Effect of Hedge Fund Activism on Corporate Tax Avoidance

The Effect of Hedge Fund Activism on Corporate Tax Avoidance

Power from the ground up: Using data analytics in capital budgeting

Pulling it all together: ACME trailers, a costing case

Expect the Unexpected: Risk Assessment Using Monte Carlo Simulations: With Software Such as Microsoft Excel, CPAs Can Perform Statistical Simulations to Assess the Potential Upside and Risk of Business Decisions