OLS-based archival accounting research encounters two well-known problems. First, outliers tend to influence results excessively. Second, heteroscedastic error terms raise the spectre of inefficient estimation and the need to scale variables. This paper applies a robust estimation approach due...

Recent research, due to Patatoukas and Thomas (2011) and Ball et al. (2013), focuses on Basu's (1997) conditional conservatism measure and the existence of a denominator effect — whether the difference between the earnings-return coefficients of bad and good news firms (“the Basu...

We propose a simple nonparametric mixtures estimator for recovering the joint distribution of parameter heterogeneity in economic models, such as the random coefficients logit. The estimator is based on linear regression subject to linear inequality constraints, and is robust, easy to program...

We survey and apply several techniques from the statistical and computer science literature to the problem of demand estimation. We derive novel asymptotic properties for several of these models. To improve out-of-sample prediction accuracy and obtain parametric rates of convergence, we propose...