This paper contributes to the debate on the role of money in monetary policy by analyzing the information content of money in forecasting euro-area inflation. We compare the predictive performance within and among various classes of structural and empirical models in a consistent framework using...

This paper employs newly constructed measures for productivity differentials, external imbalances, and commodity terms of trade to estimate a panel cointegrating relationship between real exchange rates and a set of fundamentals for a sample of 48 industrial countries and emerging markets. It...

In several recent articles, the Barro-Grossman model of general equilibrium under shortage has been modified to incorporate money demand and alternative retail sales mechanisms. This paper extends this work to allow for spillovers in deficit goods markets (modeled as feedback of black market...

Monetary aggregates are now much less used as policy instruments as identifying the right measure has become difficult and interest rate transmission has worked well in an increasingly complex financial system. In this process, little attention was paid to the potential spillover of excess...

Real oil prices surged from 2009 through 2014, comparable to the 1970's oil shock period. Standard explanations based on monopoly markup fall short since inflation remained low after 2009. This paper contributes strong evidence of Granger (1969) predictability of nominal factors to oil prices,...

Two types of currency in circulation models are identified: (1) a first generation derived from the theory of money demand and (2) a second generation aimed at producing daily forecasts of currency in circulation. In this paper, we transform the currency demand function into a VAR to capture the...

Money has only limited information value for future inflation in Ghana over a typical monetary policy implementation horizon (four to eight quarters). On the other hand, currency depreciation and demand pressures (as measured by the output gap) are shown to be important predictors of future...