We compare a number of methods that have been proposed in the literature for obtaining h-step ahead minimum mean square error forecasts for SETAR models. These forecasts are compared to those from an AR model. The comparison of forecasting methods is made using Monte Carlo simulation. The Monte...

An increase over time in the proportion of young people obtaining a degree is likely to impact on the relative ability compositions (i) of graduates and non-graduates and (ii) across graduates with different classes of degree award. In a signalling framework, we examine the implications of this...

Giving attorneys more power in the voir dire (jury selection) process may allow them to 1) find grounds for dismissal of jurors whom they wish to strike on a priori grounds; 2) acquire information that enables them to identify favorably-inclined jurors more precisely; or both. Attorneys who are...

This article provides a first analysis of the forecasts of inflation and GDP growth obtained from the Bank of England's Survey of External Forecasters, considering both the survey average forecasts published in the quarterly Inflation Report, and the individual survey responses, recently made...

An increase over time in the proportion of young people obtaining a degree is likely to impact on the relative ability compositions (i) of graduates and non-graduates and (ii) across graduates with different classes of degree award. In a signalling framework, we examine the implications of this...

As in many other countries, government policy in the UK has the objective of raising the participation rate of young people in higher education, while also increasing the share of the costs of higher education borne by students themselves. A rationale for the latter element comes from evidence...

This article provides a first analysis of the forecasts of inflation and GDP growth obtained from the Bank of England's Survey of External Forecasters, considering both the survey average forecasts published in the quarterly Inflation Report, and the individual survey responses, recently made...

The calculation of interval forecasts for highly persistent autoregressive (AR) time series based on the bootstrap is considered. Three methods are considered for countering the small-sample bias of least-squares estimation for processes which have roots close to the unit circle: a bootstrap...

Quantile forecasts are central to risk management decisions because of the widespread use of Value-at-Risk. A quantile forecast is the product of two factors: the model used to forecast volatility, and the method of computing quantiles from the volatility forecasts. In this paper we calculate...

A structural break is viewed as a permanent change in the parameter vector of a model. Using taxonomies of all sources of forecast errors for both conditional mean and conditional variance processes, we consider the impacts of breaks and their relevance in forecasting models: (a) where the...