Search results for "Seemingly unrelated regressions"
showing 3 items of 3 documents
Forecasting correlated time series with exponential smoothing models
2011
Abstract This paper presents the Bayesian analysis of a general multivariate exponential smoothing model that allows us to forecast time series jointly, subject to correlated random disturbances. The general multivariate model, which can be formulated as a seemingly unrelated regression model, includes the previously studied homogeneous multivariate Holt-Winters’ model as a special case when all of the univariate series share a common structure. MCMC simulation techniques are required in order to approach the non-analytically tractable posterior distribution of the model parameters. The predictive distribution is then estimated using Monte Carlo integration. A Bayesian model selection crite…
Testing the stationarity of interest rates using a SUR approach
1998
Abstract Using data on average yields to maturity of German bonds with different time to maturity it is shown that the time series contain a unit root if the standard augmented Dickey–Fuller test is applied separately to each series. To improve the power of the test we carried out a recently developed approach, estimating the regressions for each time to maturity jointly using a seemingly unrelated regressions approach.
Once again : testing for regional homogeneity
1987
. Summarizing the foregoing discussions in this journal on testing for regional homogeneity the present note shows that in the model of Zellner's seemingly unrelated regressions one test statistic may be used not only to test for overall homogeneity but also to examine for individual coefficient homogeneity. This aim is achieved by varying the linear restrictions in the test statistic according to different problems. To illustrate these tests regional consumption functions for the 11 Bundeslader (States) of the Federal Republic of Germany are used.