Recent estimates suggest that the UK business cycle is closer to the Euro zone business cycle than it was in the early 1990s. This paper investigates whether this phenomenon has been accompanied by increased correlation between UK and Eurozone business cycles. Considering a range of alternative...

The business cycle has an importance in the popular debate which can tend to run ahead of the problems in measuring it. This paper provides a survey of the main statistical techniques that are used to measure the cycle. An application to the UK illustrates that the choice of what measure, or...

This paper, using 40 years of monthly industrial production data, examines the relationship between the business cycles of the 12 euro area countries. Since estimates of the business cycle have been found to be sensitive to how the cycle is measured, a range of alternative measures is...

Identification of structural parameters in models with adaptive learning can be weak, causing standard inference procedures to become unreliable. Learning also induces persistent dynamics, and this makes the distribution of estimators and test statistics non-standard. Valid inference can be...

In this paper, we introduce a kernel-based estimation principle for nonparametric models named local partitioned regression (LPR). This principle is a nonparametric generalization of the familiar partition regression in linear models. It has several key advantages: First, it generates estimators...

For a certain class of stochastic differential equations with nonlinear drift and degenerate diffusion term existence of a weak solution is shown.