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Often applied econometricians are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes econometric results are very fragile to the inclusion or omission of just a...
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This book is a comprehensive collection that focuses on various regions and their economies at a pivotal time in our global economy when the majority of nations continue to struggle with stabilizing their economies.
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"Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides …: Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies … econometrics. Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference …
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