Showing 1 - 7 of 7
.0 percent of world population, implying 150 million deaths when applied to current population. Regressions with annual …
Persistent link: https://www.econbiz.de/10012839262
This note examines the stochastic behaviour of US monthly 10-year government bond yields. Specifically, it estimates a fractional integration model suitable to capture both persistence and non-linearities, these being two important properties of interest rates. Two series are analysed, one from...
Persistent link: https://www.econbiz.de/10013314848
This paper assesses time variation in monetary policy rules by applying a Time-Varying Parameter Generalised Methods of Moments (TVP-GMM) framework. Using monthly data until December 2022 for five inflation targeting countries (the UK, Canada, Australia, New Zealand, Sweden) and five countries...
Persistent link: https://www.econbiz.de/10014348141
We investigate the role of crude oil spot and futures prices in the process of price discovery by using a cost-of-carry model with an endogenous convenience yield and daily data over the period from January 1990 to December 2008. We provide evidence that futures markets play a more important...
Persistent link: https://www.econbiz.de/10010270503
growth, giving support to Phillips' Golden Triangle theory. …
Persistent link: https://www.econbiz.de/10010277380
This paper introduces a multivariate long-memory model with structural breaks. In the proposed framework, time series exhibit possibly fractional orders of integration which are allowed to be different in each subsample. The break date is endogenously determined using a procedure which minimises...
Persistent link: https://www.econbiz.de/10010264093
This paper considers a general model which allows for both deterministic and stochastic forms of seasonality, including fractional (stationary and nonstationary) orders of integration, and also incorporating endogenously determined structural breaks. Monte Carlo analysis shows that the suggested...
Persistent link: https://www.econbiz.de/10010264124