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Topics In Identification, Limited Dependent Variables, Partial Observability, Experimentation, And Flexible Modeling eBook

language: english
Publisher: Emerald Publishing Limited, August of 2019 ‧
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Volume 40 in the Advances in Econometrics series features twenty-three chapters that are split thematically into two parts. Part A presents novel contributions to the analysis of time series and panel data with applications in macroeconomics, finance, cognitive science and psychology, neuroscience, and labor economics. Part B examines innovations in stochastic frontier analysis, nonparametric and semiparametric modeling and estimation, A/B experiments, big-data analysis, and quantile regression.  
Individual chapters, written by both distinguished researchers and promising young scholars, cover many important topics in statistical and econometric theory and practice. Papers primarily, though not exclusively, adopt Bayesian methods for estimation and inference, although researchers of all persuasions should find considerable interest in the chapters contained in this work. The volume was prepared to honor the career and research contributions of Professor Dale J. Poirier.  
For researchers in econometrics, this volume includes the most up-to-date research across a wide range of topics.

Topics In Identification, Limited Dependent Variables, Partial Observability, Experimentation, And Flexible Modeling

Property Description
ISBN: 9781789732412
Publisher: Emerald Publishing Limited
Release Date: August of 2019
Language: English
Format: eBook
File Format and Compatibility: PDF para ADE
Collection: Advances In Econometrics
Categories: eBooks in English > Economics, Finance and Accounting > Economy
EAN: 9781789732412

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