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This paper discusses a methodology which uses time series cross sectional datafor the estimation of a time dependent regression function depending on explanatory variables and for the prediction of values of the dependent variable. The methodology assumes independent observations and is based on...
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examining the consequences of temporal aggregation in (possibly) Granger causal systems of variables. Our approach is to compare … asymptotic theory based on large aggregation intervals we derive conditions for a correspondence between both concepts. These … results allow us to differentiate between spurious contemporaneous correlation arising because of aggregation, and true …
Persistent link: https://www.econbiz.de/10009578029
aggregated observations (see Working (1960)). This paper investigates the effect of aggregation on the relation between variables … (cointegration). It will be shown that aggregation does not distort the cointegration relation while some other features of the data … cointegration analysis seems to be robust against various aggregation strategies. -- cointegration ; aggregation ; time series …
Persistent link: https://www.econbiz.de/10009620772
We show in this article that fractionally integrated univariate models for GDP may lead to a better replication of business cycle characteristics. We firstly show that the business cycle features are clearly affected by the degree of integration as well as by the other short run components of...
Persistent link: https://www.econbiz.de/10009614295
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In this note the unobserved component approach underlying the software package SEATS is compared with the Beveridge-Nelson type of decomposition for seasonal time series. The main strength of the SEATS approach lies in the appealing model formulation and the careful specification and adjustment...
Persistent link: https://www.econbiz.de/10009574877
We show in the paper that the decomposition proposed by Beveridge and Nelson (1981) for models that are integrated of order one can be generalized to seasonal Arima models by means of a partial fraction decomposition. Two equivalent algorithms are proposed to optimally (in the mean squared...
Persistent link: https://www.econbiz.de/10009577456
We introduce a nonparametric smoothing procedure for nonparametric factor analaysis of multivariate time series. The asymptotic properties of the proposed procedures are derived. We present an application based on the residuals from the Fair macromodel. -- Factor Analysis ; Time Series ; Kernel...
Persistent link: https://www.econbiz.de/10009578000