US firm cash holdings have become increasingly concentrated over time withering shareholder returns and heightening agency problems associated with free cash flows. Our use of a robust regression technique (LAD) and a state-of-the-art variable selection procedure (LASSO) to identify the...

We propose the double robust Lagrange multiplier (DRLM) statistic for testing hypotheses specified on the pseudo-true value of the structural parameters in the generalized method of moments. The pseudo-true value is defined as the minimizer of the population continuous updating objective...

The global minimum variance portfolio computed using the sample covariance matrix is known to be negatively affected by parameter uncertainty, an important component of model risk. Using a robust approach, we introduce a portfolio rule for investors who wish to invest in the global minimum...

Several novel statistical methods have been developed to estimate large integrated volatility matrices based on high-frequency financial data. To investigate their asymptotic behaviors, they require a sub-Gaussian or finite high-order moment assumption for observed log-returns, which cannot...

We study the robustness of Krupka and Weber's method (2013) for eliciting social norms. In two experiments with more than 1200 participants, we find that participants' response patterns are invariant to differences in the salience of the monetarily incentivized coordination aspect. We further...

Probit models with endogenous regressors are commonly used models in economics and other social sciences. Yet, the robustness properties of parametric estimators in these models have not been formally studied. In this paper, we derive the influence functions of the endogenous probit model's...