A key dimension of fiscal policy during the financial crisis was massive government support for the banking system. The macroeconomic effects of that support have, so far, received little attention in the literature. This paper fills this gap, using a quantitative dynamic model with a banking...

This paper studies the effect of home-host country distance on the choice of governance mode in the offshoring of services. Using a Transaction Cost Economics approach, we look at the comparative costs of the hierarchical and contractual models to show that different dimensions of distance...

We provide a new perspective on Stein's so-called density approach by introducing a new operator and characterizing class which are valid for a much wider family of probability distributions on the real line. We prove an elementary factorization property of this operator and propose a new Stein...

In this paper, we follow the same logic as in Hausman (1978) to create a testing procedure that checks for the presence of outliers by comparing a regression estimator that is robust to outliers (S-estimator), with another that is more e¢ cient but a¤ected by them. Some simulations are...

We establish the asymptotic normality of marginal sample quantiles for S–mixing vector stationary processes. S–mixing is a recently introduced and widely applicable notion of dependence. Results of some Monte Carlo simulations are given.

Abstract: Gauss’ principle states that the maximum likelihood estimator of the parameter in a location family is the sample mean for all samples of all sample sizes if and only if the family is Gaussian. There exist many extensions of this result in diverse directions. In this paper we propose...

I consider two-period self-insurance and self-protection models in the presence of ambiguity that either affects the loss or the probabilities, and analyze the effect of ambiguity aversion. I show that in most common situations, ambiguity prudence is a sufficient condition to observe an increase...

In this paper I use the smooth ambiguity model developed by Klibanoff, Marinacci, and Mukerji (2005) to define the concepts of ambiguity and uncertainty premia in a way analogous to what Pratt (1964) did in the risk theory literature. I show that those concepts may be useful to quantify the...

This paper considers a linear panel data model with reduced rank regressors and interactive fixed effects. The leading example is a factor model where some of the factors are observed, some others not. Invariance considerations yield a maximal invariant statistic whose density does not depend on...