Building on insights from the economics of superstars, I develop an efficient method for estimating the skill of mutual fund managers. Outliers are especially helpful for disentangling skill from luck when I explicitly model the cross-sectional distribution of managerial skill using a flexible and realistic function. Forecasted performance is dramatically improved relative to standard regressio...

This paper presents a statistical model for explaining why skewed-associativity removes conflicts better than setassociativity. We show that, with a high probability, 2-way skewed associativity emulates full associativity for workingsets up to half the cache size, and we show that 3-way skewed-associativity is almost equivalent to full associativity.

Most outlier detection rules for multivariate data are based on the assumption of elliptical symmetry of the underlying distribution. We propose an outlier detection method which does not need the assumption of symmetry and does not rely on visual inspection. Our method is a generalization of the Stahel-Donoho outlyingness. The latter approach assigns to each observation a measure of outlyingne...

Absenteeism research has often been criticized for using inappropriate analysis. Characteristics of absence data, notably that it is usually truncated and skewed, violate assumptions of OLS regression; however, OLS and correlation analysis remain the dominant models of absenteeism research. This piece compares eight models that may be appropriate for analyzing absence data. Specifically, this p...

Count models are a subset of discrete response regression models. Count data are distributed as non-negative integers, are intrinsically heteroskedastic, right skewed, and have a variance that increases with the mean. Example count data include such situations as length of hospital stay, the number of a certain species of fish per defined area in the ocean, the number of lights displayed by fir...

Testing for Granger non-causality over varying quantile levels could be used to measure and infer dynamic linkages, enabling the identification of quantiles for which causality is relevant, or not. However, dynamic quantiles in financial application settings are clearly affected by heteroscedasticity, as well as the exogenous and endogenous variables under consideration. GARCH-type dynamics are...

We augment a simple Real Business Cycle model with financial intermediaries that may default on their liabilities and friction generating social costs of default. derive closed-form solution for the general equilibrium economy, providing analytical results. Endogenous generates negative skew aggregate variables positive credit spreads, as documented in empirical literature. Larger frictions str...

When modeling covariate measurement error in regression, it is typically assumed that the measurement error acts in an additive or multiplicative manner on the true covariate value. However, such assumptions do not hold for the measurement error of sleep-disordered breathing (SDB). The true covariate is the severity of SDB, and the observed surrogate covariate is the number of breathing pauses ...