We highlight how detrending within Structural Vector Autoregressions (SVAR) is directly linked to the shock identification. Consequences of trend misspecification are investigated using a prototypical Real Business Cycle model as the Data Generating Process. Decomposing the different sources of...

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...

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...

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...

The importance of the time-consistency poblem depends critically on the model one is working with and its parameterizations. This paper attempts to quantify the magnitude of stabilization bias for a small open economy using an empirically estimated micro-founded dynamic stochastic general...

The transmission of the financial crises in 1998 though international equity markets is estimated through a multi-factor model of financial markets specifically allowing for contagion effects. The application measures the strength of contagion emanating from the Russia crisis of 1998, and the...

The deviance information criterion (DIC) has been widely used for Bayesian model comparison. In particular, a popular metric for comparing stochastic volatility models is the DIC based on the conditional likelihood—obtained by conditioning on the latent variables. However, some recent studies...

This paper generalizes the popular stochastic volatility in mean model of Koopman and Hol Uspensky (2002) to allow for time-varying parameters in the conditional mean. The estimation of this extension is nontrival since the volatility appears in both the conditional mean and the conditional...

This paper examines the determinants of economic growth in developing countries within the standard growth regression framework, with special attention being paid to the experience of landlocked countries. The results confirm the findings of previous studies that landlockedness hampers economic...

India's National Rural Employment Guarantee Scheme (NREGS) has been hailed as one of the country's most creative social initiatives. Since the program was begun only recently (in 2004-05) there is a need to assess its impact on households not just in one year but over time. To the best of our...