The authors solve a linear problem where a potential conflict between two agents (Destination manager and Firm) arises in a tourism destination. Destination manager has to choose how to allocate limited resources (capital and land) between either second homes or hotels. This conflict stems from...

The authors solve a linear problem where a potential conflict between two agents (Destination manager and Firm) arises in a tourism destination. Destination manager has to choose how to allocate limited resources (capital and land) between either second homes or hotels. This conflict stems from...

The authors solve a linear problem where a potential conflict between two agents (Destination manager and Firm) arises in a tourism destination. The Destination manager has to choose how to allocate limited resources (capital and land) between either second homes or hotels. This conflict stems...

This paper develops a novel and efficient algorithm for Bayesian inference in inverse Gamma Stochastic Volatility models. It is shown that by conditioning on auxiliary variables, it is possible to sample all the volatilities jointly directly from their posterior conditional density, using simple...