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This paper focuses on whether to use macro or micro equations to predict aggregate variables. The Grunfeld-Griliches prediction criterion is generalized to allow for contemporaneous covariances across the micro equations and for parametric restrictions on the disaggregate equations. An...
Persistent link: https://www.econbiz.de/10005231746
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This paper discusses alternative methods of testing for aggregation bias and proposes direct tests of the discrepancy of the macroparameters from the average of the corresponding microparameters, and derives tests of aggregation bias in the general case where the parameters of interest may...
Persistent link: https://www.econbiz.de/10005232282
This paper argues that probability forecasts convey information on the uncertainties that surround macro-economic forecasts in a straightforward manner which is preferable to other alternatives, including the use of confidence intervals. Point and probability forecasts obtained using a small...
Persistent link: https://www.econbiz.de/10005232473
This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both univariate and multivariate models. Theoretical results and Monte Carlo simulations suggest that iterated forecasts dominate direct forecasts when estimation error is a...
Persistent link: https://www.econbiz.de/10005114194
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This paper provides a method for the analysis of the spatial and temporal diffusion of shocks in a dynamic system. We use changes in real house prices within the UK economy at the level of regions to illustrate its use. Adjustment to shocks involves both a region specific and a spatial effect....
Persistent link: https://www.econbiz.de/10008458159
This survey uses a number of recent developments in the analysis of cointegrating Vector Autoregressions (VARs) to examine their links to the older structural modelling traditions using Autoregressive Distributed Lag (ARDL), and Simultaneous Equations Models (SEMs). In particular, it emphasizes...
Persistent link: https://www.econbiz.de/10005662620
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This Paper provides a novel approach to forecasting time series subject to discrete structural breaks. We propose a Bayesian estimation and prediction procedure that allows for the possibility of new breaks over the forecast horizon, taking account of the size and duration of past breaks (if...
Persistent link: https://www.econbiz.de/10005791366