A good set of forecasts of key macroeconomic indicators is useful for making informed policy decisions.  This analysis undertakes to perform joint forecasting of vital time series in large Bayesian VAR framework for an emerging economy such as India, where policy decisions are further...

The aim of this handbook is to introduce key topics in Bayesian econometrics from an applied perspective. The handbook assumes that readers have a fair grasp of basic classical econometrics (e.g. maximum likelihood estimation).  It is recommended that readers familiarise themselves with...

We examine the importance of macroeconomic effects of changes in asset prices and credit aggregates for the Russian economy.  We show that the amplitude of the fluctuations of asset prices and lending was exceptionally large in 2006-2009.  This implies that the asset price and the lending...

The authors reassess the predictive power of financial indicators for output and inflation in the US by studying predictive densities generated by set of linear and nonlinear forecasting models.  They argue that, if the linkage between financial and real economy is state-dependent as implied...