Showing 1 - 10 of 77
This paper presents the results of a Monte Carlo comparison of feasible GLS estimators of the trend parameter in the linear trend plus noise model, where the noise component may or may not be a unit root process. We include an FGLS estimator that estimates the noise component using a...
Persistent link: https://www.econbiz.de/10005433361
This paper is concerned with forecasting time series generated by the linear trend model with autoregressive errors, allowing for a unit root in the autoregressive component. Time series of this sort play an important role in economics, particularly in macroeconomics. We produce simulation...
Persistent link: https://www.econbiz.de/10005125452
A popular model for assessing dependence on time is the linear trend plus autoregressive error model. Considerable effort has been devoted toward efficient esitmation of and testing for a linear trend in the presence of serial correlation. However, the testing procedures used in practice do not...
Persistent link: https://www.econbiz.de/10005155094
Persistent link: https://www.econbiz.de/10005418650
Persistent link: https://www.econbiz.de/10006608217
This paper presents the results of a Monte Carlo comparison of feasible GLS estimators of the trend parameter in the linear trend plus noise model, where the noise component may or may not be a unit root process. We include an FGLS estimator that estimates the noise component using a...
Persistent link: https://www.econbiz.de/10010836184
Persistent link: https://www.econbiz.de/10005733967
Persistent link: https://www.econbiz.de/10002135457
Persistent link: https://www.econbiz.de/10005532595
Persistent link: https://www.econbiz.de/10005418110