logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Topics In Identification Limited Dependent Variables Partial Observability Experimentation And Flexible Modeling 1st Edition Ivan Jeliazkov Justin Tobias

  • SKU: BELL-51661552
Topics In Identification Limited Dependent Variables Partial Observability Experimentation And Flexible Modeling 1st Edition Ivan Jeliazkov Justin Tobias
$ 31.00 $ 45.00 (-31%)

4.8

84 reviews

Topics In Identification Limited Dependent Variables Partial Observability Experimentation And Flexible Modeling 1st Edition Ivan Jeliazkov Justin Tobias instant download after payment.

Publisher: Emerald Publishing Limited
File Extension: EPUB
File size: 5.46 MB
Pages: 266
Author: Ivan Jeliazkov; Justin Tobias
ISBN: 9781838674199, 1838674195
Language: English
Year: 2019
Edition: 1

Product desciption

Topics In Identification Limited Dependent Variables Partial Observability Experimentation And Flexible Modeling 1st Edition Ivan Jeliazkov Justin Tobias by Ivan Jeliazkov; Justin Tobias 9781838674199, 1838674195 instant download after payment.

Volume 40 in the Advances in Econometricsseries 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.

Related Products