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Through Monte Carlo experiments the small sample behavior is examinedof various inference techniques for dynamic panel …
Persistent link: https://www.econbiz.de/10011313931
The relative magnitudes are compared of successive terms in a higher-order asymptotic expansion of the bias of the LSDV estimator in dynamic panels. We find that the leading term accounts for the major part of the actual bias in small samples. This implies that bias correction procedures can be...
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We consider the dynamic factor model where the loading matrix, the dynamic factors and the disturbances are treated as latent stochastic processes. We present empirical Bayes methods that enable the efficient shrinkage-based estimation of the loadings and the factors. We show that our estimates...
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Several lessons learned from a Bayesian analysis of basic economic time series models by means of the Gibbs sampling … Panel Data model. We discuss issues involved when drawing Bayesian inference on regression parameters and variance …
Persistent link: https://www.econbiz.de/10011349180
Many statistical and econometric learning methods rely on Bayesian ideas, often applied or reinterpreted in a frequentist setting. Two leading examples are shrinkage estimators and model averaging estimators, such as weighted-average least squares (WALS). In many instances, the accuracy of these...
Persistent link: https://www.econbiz.de/10012176861
With panel data important issues can be resolved that can not beaddressed with cross--sectional data. A major drawback … from the original populationas replacements for units who have dropped out of the panel, aso--called refreshment sample … different results than models that assume that themissing data process is ignorable or conventional econometric modelsfor panel …
Persistent link: https://www.econbiz.de/10011283469