Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling. Part A /

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,...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Άλλοι συγγραφείς: Jeliazkov, Ivan (Επιμελητής έκδοσης), Tobias, Justin L. (Επιμελητής έκδοσης)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Bingley, U.K. : Emerald Publishing Limited, 2019.
Σειρά:Advances in econometrics ; v. 40, pt. A.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Περιγραφή τεκμηρίου:Includes index.
Φυσική περιγραφή:1 online resource (xi, 318 pages).
Βιβλιογραφία:Includes bibliographical references.
ISBN:9781789732436
DOI:10.1108/s0731-9053201940a