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-series, spatial statistics) where currenty breakdown definitions typically fail. We illustrate our points using examples from linear … and non-linear regression as well as time-series and spatial statistics. …
Persistent link: https://www.econbiz.de/10011303297
estimators and Bayesianposteriordistributions based on Jeffreys' priors, towards score statistics. Weillustrate the BSS as a …
Persistent link: https://www.econbiz.de/10011303302
Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and try to understand why...
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In this paper, we make use of state space models toinvestigate the presence of stochastic trends in economic time series. Amodel is specified where such a trend can enter either in the autoregressiverepresentation or in a separate state equation. Tests based on the formerare analogous to...
Persistent link: https://www.econbiz.de/10011302135
In this paper, we make use of state space models to investigate the presence of stochastic trends in economic time series. A model is specified where such a trend can enter either in the autoregressive representation or in a separate state equation. Tests based on the former are analogous to...
Persistent link: https://www.econbiz.de/10010338455
The inequality dataset compiled in the 1990s by the World Bank and extendedby the UN has been both widely used and strongly criticized. The criticisms raisequestions about conclusions drawn from secondary inequality datasets in general. Wedevelop techniques to deal with national and...
Persistent link: https://www.econbiz.de/10011346482