Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling

Language: English

Published by Emerald Publishing Limited, GB, 2019

1838674209 / 9781838674205

Series: Book 12 of 16 - Advances in Econometrics

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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.

Seller Inventory # LU-9781838674205

Title
Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling
Author
Ivan Jeliazkov
Publisher
Emerald Publishing Limited, GB
Publication year
2019
Condition
New
Binding
Hardback
Language
English
ISBN 10
1838674209
ISBN 13
9781838674205
Item weight
497 grams
Series
Book 12 of 16: Advances in Econometrics

Rarewaves USA

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