Topics in Identification, Limited Dependent Variables, Partial Observability
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.
1133883423
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
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.
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.
105.0
In Stock
5
1
Topics in Identification, Limited Dependent Variables, Partial Observability
Topics in Identification, Limited Dependent Variables, Partial Observability
eBook
$105.00
Related collections and offers
105.0
In Stock
Product Details
BN ID: | 2940163155002 |
---|---|
Publisher: | Emerald Publishing |
Publication date: | 10/18/2019 |
Series: | Advances in Econometrics , #40 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 8 MB |
About the Author
From the B&N Reads Blog