Background: Patient Reported Outcome Measures are an important component of the evidence for health technology appraisal. Their incorporation into cost effectiveness analyses (CEA) requires conversion of descriptive information into utilities. This can be done using bespoke utility algorithms....

This paper investigates the relationship between monetary policy and the changes experienced by the US economy using a small scale New Keynesian model. The model is estimated with Bayesian techniques and the stability of policy parameter estimates and of the transmission of policy shocks...

McCausland (2004a) describes a new theory of random consumer demand. Theoretically consistent random demand can be represented by a "regular" "L-utility" function on the consumption set X. The present paper is about Bayesian inference for regular L-utility functions. We express prior and...

In this paper, we provide a brief introduction to a new macroeconometric model of the Spanish economy named MEDEA (Modelo de Equilibrio Dinámico de la Economía EspañolA). MEDEA is a dynamic stochastic general equilibrium (DSGE) model that aims to describe the main features of the Spanish...

I study whether and how US shocks are transmitted to eight Latin American countries. US shocks are identified using the procedure of Canova and De Nicolo’ (2002) and treated as exogenous with respect to Latin American economies. Posterior estimates for individual and average effects are...

A growing body of literature shows that geographic location plays an important role in influencing economic phenomena. Despite the renewed interest in economic geography, the existing literature on the firm size distribution (FSD) has ignored the impact of geographic location. A wave of recent...

This Paper examines the properties of G-7 cycles using a multicountry Bayesian panel VAR model with time variations, unit specific dynamics and cross country interdependences. We demonstrate the presence of a significant world cycle and show that country specific indicators play a much smaller...

We investigate the time varying relation between hours and technology shocks using a structural business cycle model. We propose an RBC model with a Constant Elasticity of Substitution (CES) production function that allows for capital- and labor-augmenting technology shocks. We estimate the...

This paper uses a Factor Augmented Vector Autoregressive model to assess the macroeconomic impact of the euro-area sovereign debt crisis and the effectiveness of the European Central Bank's conventional monetary policy. First, our results show that in the countries most affected by the crisis,...

Quantile regression has become widely used in empirical macroeconomics, in particular for estimating and forecasting tail risks to macroeconomic indicators. In this paper we examine various choices in the specification of quantile regressions for macro applications, for example, choices related...