This paper considers the nonparametric estimation of spectral densities for second order stationary random fields on a d-dimensional lattice. I discuss some drawbacks of standard methods, and propose modified estimator classes with improved bias convergence rate, emphasizing the use of kernel...

This paper proposes a worst-case approach for estimating econometric models containing unobservable variables. Worst-case estimators are robust against the averse effects of unobservables and, unlike the classical literature, there are no assumptions made about the statistical nature of the...

We present a differential game to study how companies can simultaneously license their innovations to other firms when launching a new product. The licensee may cannibalize licensor’s sales, albeit this can be compensated by gains from royalties. Nonetheless, patent royalties are generally so...

We study the antecedents that help explaining how firms should deal with CSR in this modern economy where there is a heightened demand for firms to behave in a socially responsible manner, and also why some firms succeed with their CSR initiatives while others fail. We believe (1) different...

In this work, we develop a new model for competition in markets with differentiated products. In addition, we present a consumer model designed to produce a flexible nonlinear inverse demand system that resembles the classical Multinomial Logit model, and discuss several extensions. We...