This paper adresses the various methodological issues surrounding vector autoregressions, simultaneous equations, and chain reactions, and provides new evidence on the long-run inflation-unemployment tradeoff in the US. It is argued that money growth is a superior indicator of the monetary...

A monetary policy rule is a function mapping any given output level of the economy to a corresponding rate of inflation. Such a rule is time-consistent if the central bank has no incentive to deviate from it. Within a simple dynamic model combining an output-inflation trade-off with rational...

This paper offers a reappraisal of the inflation-unemployment tradeoff, based on ``frictional growth,'' describing the interplay between nominal frictions and money growth. When the money supply grows in the presence of price inertia (due to staggered wage contracts with time discounting), the...

In recent years there has been increasing interest in forecasting methods that utilise large datasets, driven partly by the recognition that policymaking institutions need to process large quantities of information. Factor analysis is one popular way of doing this. Forecast combination is...

We examine the relationship between inflation and inflation uncertainty using a GARCH model that allows for simultaneous feedback between the conditional mean and variance of inflation. We also derive a number of theoretical econometric results and illustrate the relevance of these results with...

Recently, there has been increasing interest in forecasting methods that utilise large datasets. We explore the possibility of forecasting with model averaging using the out-of-sample forecasting performance of various models in a frequentist setting, using the predictive likelihood. We apply...

We propose a way to test the New Keynesian Phillips Curve (NKPC) without estimating the structural parameters governing the curve, i.e. price stickiness and firms' backwardness. Using this strategy we can test the NKPC avoiding the identification problems related to the GMM approach. We find...

The question of variable selection in a regression model is a major open research topic in econometrics. Traditionally two broad classes of methods have been used. One is sequential testing and the other is information criteria. The advent of large datasets used by institutions such as central...

It is well documented that business cycles of developed countries are characterised by persistent output fluctuations, and this has been the subject of much theoretical interest. However, the case for developing countries has been somewhat neglected in the literature. This paper addresses this...

This paper proposes a novel and flexible framework to estimate autoregressive models with time-varying parameters. Our setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning-expectations and forgetting-factor algorithms. These are...