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

By Dale J. Poirier (author)
Part of the Advances in Econometrics series

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

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.

About This Edition

ISBN:	9781838674205
Publication date:	18th October 2019
Author:	Dale J. Poirier
Publisher:	Emerald Publishing an imprint of Emerald Publishing Limited
Format:	Hardback
Pagination:	290 pages
Series:	Advances in Econometrics
Genres:	Econometrics and economic statistics