This paper presents experimental evidence about how individuals learn from information that comes from inside versus outside their ethnic group. In the experiment, Thai subjects observed information that came from Americans and other Thais that they could use to help them answer a series of...

In recent years a new consensus has emerged in macroeconomics in general and in model building in particular, the so called New Keynesian Paradigm (NKM). This paper applies Bayesian estimation techniques to a time series data set of the euro area and presents estimates of a DSGE model. The...

The equilibrium exchange rate is a closely scrutinized variable in international finance and monetary economics. A model to estimate an equilibrium exchange rate is proposed in this paper. It consists of several building blocks: a state-space structure, uncovered interest parity and the...

A two-block open economy model is estimated in this paper using Australian and U.S. data. Evaluation of the estimated model is carried out in relation to a simple closed economy alternative. Namely, we inspect the implied transmission mechanisms, and examine the relative out-of-sample...

This paper investigates the main sources of instability in Brazil during the currency and financial distress episode of 2002. We test for financial contagion from the Argentine crisis and the impact of factors including IMF intervention and political uncertainty in raising the probability of...

This paper estimates a DSGE model with learning to re-examine the evidence on time variation in post-war U.S. monetary policy. Several papers document a regime switch, by showing that policy changed from `passive' and destabilizing in the pre-1979 period to `active' and stabilizing in the...

We propose a Bayesian methodology that enables banks to improve their credit scoring models by imposing prior information. As prior information, we use coefficients from credit scoring models estimated on other data sets. Through simulations, we explore the default prediction power of three...

Bayesian Statisticians, decision theorists, and game theorists often use Bayesian representations to describe the probability distribution governing the evolution of a stochastic process. Generally, however, one given distribution has infinitely many different Bayesian representations. This...

A vital implication of unemployment persistence applies to the Bank of Canada's disinflation policies since it adversely influences unemployment and considerably lengthens recessions. This paper tests for persistence in Canadian sectoral unemployment, using the modified rescaled-range test. Our...

Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented...