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This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic … chapter is motivated by the principle that, whenever possible, estimation methods should rely on routines available in … sampling inherent in survey longitudinal data, (3) incorporation of predetermined variables in estimation, and (4 …
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building are parameter estimation and evaluation that are also briefly considered. There are two possibilities of generating …
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The article compares forecast quality from two atheoretical models. Neither method assumed a priori causality and forecasts were generated without additional assumptions about regressors. Tendency survey data was used within the Bayesian averaging of classical estimates (BACE) framework and...
Persistent link: https://www.econbiz.de/10011349021
We investigate the information content of business tendency surveys for key macroeconomic variables in Switzerland. To summarise the information of a large data set of sectoral business tendency surveys we extract a small number of common factors by a principal components estimator. The...
Persistent link: https://www.econbiz.de/10010508347
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We use Bayesian additive regression trees to reexamine the efficiency of growth and inflation forecasts for Germany. To …
Persistent link: https://www.econbiz.de/10012822387
EM-algorithm is developed for estimation. Each element of the vector return at time t is endowed with a common univariate … volatility, but without the estimation problems associated with the latter, and being applicable in the multivariate setting for …
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