When breaks occur, equilibrium-correction models (EqCMs) based on cointegration face forecasting problems.  We investigate approaches to alleviate forecast failure following a location shift, including updating, intercept corrections, differencing, and estimating the future impact of an...

Success in accurately forecasting breaks requires that they are predictable from relevant information available at the forecast origin using an appropriate model form, which can be selected and estimated before the break.  To clarify the roles of these six necessary conditions, we distinguish...

I show that the fiscal position of the UK means it will be very hard for the next government to allow the undergraduate fee cap to increase beyond the rate of inflation.  The funding postion of the higher education sector can be improved by the government removing the interest rate subsidy it...

It is widely believed that regional labour markets in the USA are highly flexible, so that employment shocks have only transitory effects on joblessness since induced migration quickly offsets much of the initial impact. However time-series analysis of the response to shocks is very sensitive to...

This paper describes some recent advances and contributions to our understanding of economic forecasting. The framework we develop helps explain the findings of forecasting competitions and the prevalence of forecast failure. It constitutes a general theoretical background against which recent...

We demonstrate major flaws in the statistical analysis of Beenstock, Reingewertz and Paldor (2012), discrediting their initial claims as to the different degrees integrability of CO2 and temperature.

Given the increasing use of panel data in testing hypotheses about labour market behaviour, it is essential that economists have a cound grasp of the problems involved in the collection of this type of data. This paper investigates the biases generated by recall errors and panel attrition, using...

We study the accuracy of a wide variety of estimators of asset price variation constructed from high-frequency data (so-called "realized measures"), and compare them with a simple "realized variance" (RV) estimator.  In total, we consider almost 400 different estimators, applied to 11 years of...

The class of Functional Signal plus Noise (FSN) models is introduced that provides a new, general method for modelling and forecasting time series of economic functions.  The underlying, continuous economic function (or 'signal') is a natural cubic spline whose dynamic evolution is driven by a...

We investigate alternative robust approaches to forecasting, using a new class of robust devices, contrasted with equilibrium correction models.  Their forecasting properties are derived facing a range of likely empirical problems at the forecast origin, including measurement errors, implulses,...