Simulations have become a common tool to study the implications of theoretical models. In addition, computational approaches are frequently used in statistics to adapt models to reality. We aim to merge these approaches. To obtain robust results with significant validity from simulations,...

We study the role of information sources on innovation in a two stage sequential probit model that can be used to analyze survey data in which questions are asked sequentially. Firms can fall into three catagories: (i) they do not innovation; (ii) they introduce a radical innovation on their...

In this paper we develop a likelihood based approach for estimating the joint equilibrium parameter distribution in random coefficient-random utility models. Under this demand specification and a profit maximizing supply specification, the equilibrium distribution of prices and quantities has an...

This paper introduces Bayesian inference in a Markov switching partial cointegration model. The partial cointegration allows the cointegration relationships to be switched on and off depending on the regime, unlike conventional cointegration analysis that assumes linear adjustment toward...

A group of developing countries bear high rates of financial dollarisation. Under this circumstance, monetary-policy makers are uncertain about the presence and scale of potentially harmful effects that might appear because of balance sheet mismatches arising from high and unexpected...

Central puzzles in international macroeconomics are why fluctuations of the real exchange rate are so volatile with respect to other macroeconomic variables, and the contradiction of efficient risk-sharing. Several theoretical contributions have evaluated alternative forms of pricing under...

Have interest rates been held “too low†in relation to the natural rate of interest? Economists have lately begun to worry that the cost of capital may have fallen below the worldwide expected return on capital, thereby causing excessive borrowing and allowing financial imbalances to...

This paper builds on our previous work that used a non linear stochastic dynamic programming problem to solve for the optimal level of phosphorus discharged into a watershed. Typically, there is a trade off between profits from agriculture and environmental damage due to excessive levels of...

We present a multivariate generalization of the simple markov-switching model. We allow for the introduction of several latent processes that have a simple parametric distribution. The matrix-variate bernoulli distribution yields a flexible yet parsimonious pattern of dependence between the...