In this paper, we investigate the Exchange Rate Pass-Through (ERPT) to import and consumer prices in the three Baltic states. We apply reduced form equations first. Then, to look at measures of shock-dependent ERPT, we use Bayesian VARs with zero and sign restrictions and a local projection...

Habit persistence at the level of individual goods varieties can explain incomplete exchange rate pass-through to international prices. Deep habits give rise to a dynamic import demand function that leads to import price markup adjustments, independently of nominal pricing frictions. Augmenting...

This paper studies the causes and effects of portfolio flows in Malaysia. We use Structural Vector Autoregression (SVAR) and Autoregressive Distributed Lag (ARDL) models to analyse the interactions among portfolio flows, global and domestic macro and financial variables within a common empirical...

The spillover effects of interconnectedness between financial assets are decomposed into both sources of shocks and whether they amplify or dampen volatility conditions in the target market. We use historical decompositions to rearrange information from a VAR which includes sources, direction...

We replicate Stern (1993, Energy Economics), who argues and empirically demonstrates that it is necessary (i) to use quality-adjusted energy use and (ii) to include capital and labor as control variables in order to find Granger causality from energy use to GDP. Though we could not access the...

The deviance information criterion (DIC) has been widely used for Bayesian model comparison. However, recent studies have cautioned against the use of the DIC for comparing latent variable models. In particular, the DIC calculated using the conditional likelihood (obtained by conditioning on the...

The empirical support for a DSGE type of real business cycle model with two technology shocks is evaluated using a Bayesian model averaging procedure that makes use of a finite mixture of many models within the class of vector autoregressive (VAR) processes. The linear VAR model is extended to...

The modified harmonic mean is widely used for estimating the marginal likelihood. We investigate the empirical performance of two versions of this estimator: one based on the observed-data likelihood and the other on the complete-data likelihood. Through an empirical example using US and UK...

Contemporary structural models of the global market for crude oil treat storage demand as a composite of precautionary responses to uncertainty and speculative behavior, due to difficulties in jointly identifying these distinct demand components. This difficulty arises because the underlying...

We consider an adaptive importance sampling approach to estimating the marginal likelihood, a quantity that is fundamental in Bayesian model comparison and Bayesian model averaging. This approach is motivated by the difficulty of obtaining an accurate estimate through existing algorithms that...