We study discretionary equilibria in dynamic linear-quadratic rational expectations models. In contrast to the assumptions that pervade this literature we show that these models do have multiple equilibria in some situations. We demonstrate the existence of multiple discretionary equilibria by...

The martingale difference restriction is an outcome of many theoretical analyses in economics and finance. A large body of econometric literature deals with tests of that restriction. We provide new tests based on radial basis function neural networks. Our work is based on the test design of...

Tests of ARCH are a routine diagnostic in empirical econometric and financial analysis. However, it is well known that misspecification of the conditional mean may lead to spurious rejections of the null hypothesis of no ARCH. Nonlinearity is a prime example of this phenomenon. There is little...

This paper proposes pure significance tests for the absence of nonlinearity in cointegrating relationships. No assumption of the functional form of the nonlinearity is made. It is envisaged that the application of such tests could form the first step towards specifying a nonlinear cointegrating...

This paper develops theoretical results for the estimation of radial basis function neural network specifications, for dependent data, that do not require iterative estimation techniques. Use of the properties of regression based boosting algorithms is made. Both consistency and rate results are...

We study discretionary equilibria in dynamic linear-quadratic rational expectations models. In contrast to the assumptions that pervade this literature we show that these models do have multiple equilibria in some situations. We demonstrate the existence of multiple discretionary equilibria by...

This paper revisits the argument that the stabilisation bias that arises under discretionary monetary policy can be reduced if policy is delegated to a policymaker with redesigned objectives. We study four delegation schemes: price level targeting, interest rate smoothing, speed limits and...

This paper discusses the role of forecasts in the control of inflation. Much has been made of variations on the so-called Taylor rule for inflation control. Forward-looking Taylor rules are reconciled with optimal control using a class of rules described as error-correcting Taylor rules.

In this article we propose a policy framework for inflation targeting that contains elements of both optimal and simple rules. We use a simple feedback rule for the interest rate to look after monetary policy in the long run whilst using optimal control in the short run to determine appropriate...