Macroeconometric and fi?nancial researchers often use secondary or constructed binary random variables that differ in terms of their sta- tistical properties from the primary random variables used in micro- econometric studies. One important difference between primary and secondary binary...

To match the NBER business cycle features it is necessary to employ Gen- eralised dynamic categorical (GDC) models that impose certain phase re- strictions and permit multiple indexes. Theory suggests additional shape re- strictions in the form of monotonicity and boundedness of certain...

We propose a methodology for producing forecast densities for economic aggregates based on disaggregate evidence. Our ensemble predictive methodology utilizes a linear mixture of experts framework to combine the forecast densities from potentially many component models. Each component represents...

We examine the effectiveness of recursive-weight and equal-weight combination strategies for forecasting using many time-varying models of the relationship be- tween inflation and the output gap. The forecast densities for inflation reflect the uncertainty across models using many statistical...

We propose a methodology to gauge the uncertainty in output gap nowcasts across a large number of commonly-deployed vector autoregressions in US inflation and various measures of the output gap. Our approach constructs ensemble nowcast densities using a linear opinion pool. This yields...

Extracting a trend component from nonstationary data is one of the first challenges in estimating a DSGE model. The misspecification of the component can distort structural parameter estimates and translate into a bias in policy-relevant statistic estimates. This paper investigates how important...

Arguments for and against abandoning independent national currencies and monetary policies have varied considerably over time and by country. For New Zealand, it can be argued that a key driving force behind recent debates has been the conduct of monetary policy and the need for improved overall...

To estimate the emissions reductions and costs of a climate policy, analysts usually compare a policy scenario with a baseline scenario of future economic conditions without the policy. Both scenarios require assumptions about the future course of numerous factors such as population growth,...

It is commonly understood that macroeconomic shocks influence commodity prices and that one channel for this is the link between interest rates, expected future asset returns and stockholding. In this paper the link is extended to the petroleum market with the recognition that recorded stocks of...

We show the importance of endogenous oil prices and production in the real business cycle framework. Endogenising these variables improves the model’s predictions of business cycle statistics, oil related and non-oil related, relative to a situation where either is exogenous. This result is...