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...

Initial Gross Domestic Product (GDP) announcements are important economic signals that convey information on the state of the economy but contain substantial estimation error. We investigate how GDP estimation errors affect firms' real decisions and profitability. Consistent with theoretical...

This study examines the use of linear regressions that include interaction terms, finding frequent interpretation errors in published accounting research. We provide insights on how to estimate, interpret, and present interactive regression models, and explain seldom-used but easily-implemented...

The burgeoning use of ordinal data throughout the Empirical Sciences calls for location and variation measurement instruments suitable for such data environments. Neither Pearson’s Coefficient of Variation nor the Sharpe Ratio, relative variation comparison workhorses in cardinal worlds, are...

This study examines the nature of outliers in archival accounting research, and evaluates the merits and limitations of robust estimators in identifying and downweighting their influence. Using simulated and actual data, we demonstrate how outliers arise non-randomly from the data generating...

After the release of the final accounting standards for impairment in July 2014 by the IASB, banks will face the next significant methodological challenge after Basel 2. In this paper, first methodological thoughts are presented, and ways how to approach underlying questions are proposed.It...

The concept of conditional conservatism has provided new insight into financial reporting and has stimulated considerable research since Basu (1997) developed it. While the concept encapsulated in the adage “anticipate no profits but anticipate all losses” is reasonably clear, estimating it...

Most asset prices are subject to significant volatility. Arrival of new information is viewed as the main source of volatility. As new information is continually released, financial asset prices exhibit volatility persistence, which affects financial risk analysis and risk management strategies....

This study evaluates the accrual models after mitigating the impact of influential observations using MM-estimation, a robust regression method. I find that, relative to ordinary least squares (OLS) regression using winsorized data, MM-estimation reduces the magnitude of the unsigned abnormal...

This study examines the nature of outliers in archival accounting research and evaluates the merits and limitations of robust estimators in identifying and downweighing their influence. Using simulated and actual data samples, we demonstrate how outliers can result from the data generating...