In this paper we analyze entry dynamics in new submarkets of pharmaceutical companies. In particular we study entry decisions at time t in a new submarket, conditioned on the entrance in a new submarket at time t-1. This model allows us to connect with the flourishing literature about the...

In this paper we analyze entry dynamics in new submarkets of pharma- ceutical companies in the period 1987-1998 in seven countries considered as a single country and on each country separately. In particular we study entry decisions at time t in a new submarket, conditioned on the entrance or...

Using a dataset on the subsector and geographical segmentation of 208 Pharmaceutical companies, a Bayesian panel probit is used to analyze the role of state dependency, size and achieved diversification in affecting entry decision. We properly account for unobservable heterogeneity in a context...

In this paper, I illustrate the additional information that can be prodivided in estimating the lower bound (Sutton 1991, 1998) by using quantile regression. Quantile regression allows us to invesigate the influence of outliers. Previous lower bound have been performed using the simplex method....

In this paper, I illustrate the additional information that can be prodivided in estimating the lower bound (Sutton 1991, 1998) by using quantile regression. Quantile regression allows us to invesigate the influence of outliers. Previous lower bound have been performed using the simplex method....

This paper estimates Sutton's lower bound [1991, 1998] by quantile regression, and thus shows the influence of outliers on previous estimates that used the simplex method. The lower bound estimates are obtained separately for exogenous and endogenous sunk cost industries in Italian manufacturing...

The paper investigates the decisions of companies to enter new submarkets, analyzing the relationship between submarket concentration and entry through the explanatory power of submarkets. The relationship is analyzed both at the aggregate level for all countries and both at the country-specific...

With the aim of constructing predictive distributions for daily returns, we introduce a new Markov normal mixture model in which the components are themselves normal mixtures. We derive the restrictions on the autocovariances and linear representation of integer powers of the time series in...

Suppose a fund manager uses predictors in changing port-folio allocations over time. How does predictability translate into portfolio decisions? To answer this question we derive a new model within the Bayesian framework, where managers are assumed to modulate the systematic risk in part by...