Inflation is a far from homogeneous phenomenon, a fact often neglected in modeling consumer price inflation.  Using a novel methodology grounded in theory, the ten sub-components of the consumer price index (excluding mortgage interest rates), are modeled separately and forecast,...

Inflation targeting central banks will be hampered without good models to assist them to be forward-looking.  Many current inflation models fail to forecast turning points adequately, because they miss key underlying long-run influences.  The world is on the cusp of a dramatic turning point in...

Inflation is a far from homogeneous phenomenon, but this fact is ignored in most work on consumer price inflation. Using a novel methodology grounded in theory, the ten sub-components of the consumer price index (excluding mortgage interest rates, or CPIX) for South Africa are modeled separately...

This paper proposes a "Flexible Disequilibrium Model" (FDM) which allows for a flexible specification of technology and of firm-level heterogeneity in technical and allocative efficiency levels. FDM is implemented on a G-5 banking dataset covering the period 1989-1996. Significant scale...

High frequency financial data allows us to learn more about volatility, volatility of volatility and jumps.  One of the key techniques developed in the literature in recent years has been bipower variation and its multipower extension, which estimates time-varying volatility robustly to...

Suppose we wish to carry out likelihood based inference but we solely have an unbiased simulation based estimator of the likelihood.  We note that unbiasedness is enough when the estimated likelihood is used inside a Metropolis-Hastings algorithm.  This result has recently been introduced in...

In many countries, house prices are subject to boom/bust cycles and in some these are linked to severe economic and financial instability.  Overheating can have both a price and a quantity dimension, but it is likely that they are linked by common drivers.  However, much depends on the...

We consider the reasons for nowcasting, how nowcasts can be achieved, and the use and timing of information.  The existence of contemporaneous data such as surveys is a major difference from forecasting, but many of the recent lessons about forecasting remain relevant.  Given the extensive...

A continuous time econometric modelling framework for multivariate financial market event (or `transactions`) data is developed in which the model is specified via the vector stochastic intensity. This has the advantage that the conditioning sigma-field is updated continuously in time as new...

A new test for non-linearity in the conditional mean is proposed using functions of the principal components of regressors.  The test extends the non-linearity tests based on Kolmogorov-Gavor polynomials (Thursby and Schmidt, 1977, Tsay, 1986, and Terasvirta, Lin and Granger, 1993), but...