Using a microbased superpopulation approach some aspects of optimal prediction of aggregated AR(1) processes are studied.

In this paper we show the consequences of applying a panel unit root test when testing for a purchasing power parity relationship. The distribution of the tests investigated, including the IPS test of Im et al (1997), are influenced by a common stochastic trend which is usually not accounted...

Asymptotic tests for fractional integration are usually badly sized in small samples, even for normally distributed processes. Furthermore, tests that are well-sized under normality may be severely distorted by non-normalities and ARCH errors. This paper demonstrates how the bootstrap can be...

Analysts using data from official statistical authorities often neglect the fact that data frequently are collected using sample surveys. In this paper the impact of sampling error on the estimation of the autocovariance and the autocorrelation function is studied under a micro based...

We show how it is possible to generate multivariate data which have moments arbitrary close to the desired ones. They are generated as linear combinations of variables with known theoretical moments. It is shown how to derive the weights of the linear combinations in both the univariate and the...

Analysts using data from official statistical authorities often neglect the fact that data frequently is collected using sample surveys. We study the impact of sampling error on the estimation of the autocorrelation function for a population total under a microbased superpopulation time series...

In Cassel and Lundquist (1990) the existence of sampling bias in estimating autocorrelation functions was discussed under a superpopulation model. One restriction of that model was that the time series model should not exhibit trend. In this paper we relax that restriction. The bias of a...

We demonstrate that panel unit root tests can have high power when a small fraction of the series are stationary and may lack power when a large fraction is stationary. The acceptance or rejection of the null is thus not sufficient evidence to conclude that all series have a unit root or that...

Using a microbased superpopulation approach (see Cassel and Lundquist (1991), (1990))the question of optimal predictors of a population total of AR(1) series is analysed. Only a sample of the individual timeseries in the population is observed. From the sample the population total is predicted....

An estimator of population parameters for cross sectional analysis is suggested. The estimator is basically the generalised regression estimator (TGR) but with an adjustment derived from optimal predictors of AR(1)-series. The P- properties of the estimator are studied and the efficiency of the...