This paper examines the optimal frequency of monetary policy meetings when their schedule is pre-announced. Our contribution is twofold. First, we show that in the standard New Keynesian framework infrequent but periodic revision of monetary policy may be desirable even when there are no...

This paper attempts to provide an empirical determination of the Philippine central bank's (BSP) recent monetary policy stance, before and after its adoption of the inflation targeting framework, as revealed by its interest rate setting behavior. Employing Clarida, Gali, and Gertler's (1998,...

Deterministic simulations with the Reserve Bank of New Zealand’s core FPS model show how New Zealand’s broad macroeconomic environment might have evolved over the 1990s, if a US nominal yield curve and US TWI exchange rate movements under a common currency arrangement had been...

This paper gives an overview of some issues related to market aluation, focusing on the developments on the New York equity markets. The 42.4 p.c. fall in the S&P 500 price index between 24 March 2000 - when it reached its all-time high - and 31 December 2002 is situated in a very long term...

This paper looks at the impact on Australia’s trade in crops (non-wheat grains and oilseeds) where GM technology has been introduced. The model includes assumptions about the productivity gains of GM crops, possible consumer responses and regulatory costs for Australia and its major trading...

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...

Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider noninformative and weakly informative...

Explained variance (R^2) is a familiar summary of the fit of a linear regression and has been generalized in various ways to multilevel (hierarchical) models. The multilevel models we consider in this paper are characterized by hierarchical data structures in which individuals are grouped into...

In this paper we consider bayesian semiparametric regression within the generalized linear model framework. Specifically, we study a class of autoregressive time series where the time trend is incorporated in a nonparametrically way. Estimation and inference where performed through Markov Chain...

This paper extends the analogy previously established by Leamer (1978a), between a Bayesian inference problem and an economics allocation problem, and shows that posterior modes can be interpreted as optimal outcomes of a bargaining game. This bargaining game, over a parameter value, is played...