We estimate forward-looking interest-rate reaction functions for the G3 economies and for a group of countries which recently adopted inflation targets. Some significant shifts in the conduct of monetary policy are detected in the G3 countries, especially in the US A and Japan. In contrast with...

This paper estimates VAR models to examine the response of monetary and fiscal policy to macroeconomic targets, and the interdependence between the two policy instruments. The models are estimated for a number of G7 countries. Our findings show that, whilst monetary and fiscal policy are...

This paper examines the interaction of monetary and fiscal policies using an estimated New Keynesian dynamic general equilibrium model for the US. In contrast to earlier work using VAR models, we show that the strategic complementarity or substitutability of fiscal and monetary policy depends...

This paper derives a New Keynesian dynamic general equilibrium model with liquidity- constrained consumers and sticky prices. The model allows a role for both government spending and taxation in the DGE model. The model is then estimated using US data. We demonstrate that there seems to be a...

Funding liquidity, i.e., the ease with which firms, investors and consumers can obtain funding, is a key property of today's monetary transmission mechanism. We investigate empirically the role played by various measures of credit availability in shaping the dynamics of asset prices and the...

The information content of broad money M3 for future GDP inflation in the euro area is investigated from a number of perspectives. Firstly, tests that money does not Granger-cause prices are conducted within a cointegrated VAR system comprising real M3 holdings, real GDP, inflation and short-...

A flexible predictive density combination model is introduced for large financial data sets which allows for dynamic weight learning and model set incompleteness. Dimension reduction procedures allocate the large sets of predictive densities and combination weights to relatively small sets....

A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive densities and combination weights to relatively small subsets. Given the...

We propose a nonparametric Bayesian approach for conducting inference on probabilistic surveys. We use this approach to study whether U.S. Survey of Professional Forecasters density projections for output growth and inflation are consistent with the noisy rational expectations hypothesis. We...

Measuring and reducing energy consumption constitutes a crucial concern in public policies aimed at mitigating global warming. The real estate sector faces the challenge of enhancing building efficiency, where insights from experts play a pivotal role in the evaluation process. This research...