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| Author | : Yoosoon Chang |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 360 |
| Release | : 2023-04-24 |
| Genre | : Business & Economics |
| ISBN | : 1837532109 |
Volumes 45a and 45b of Advances in Econometrics honor Professor Joon Y. Park, who has made numerous and substantive contributions to the field of econometrics over a career spanning four decades since the 1980s and counting.
| Author | : Christopher F. Parmeter |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 401 |
| Release | : 2024-04-05 |
| Genre | : Business & Economics |
| ISBN | : 1837978751 |
It is the editor’s distinct privilege to gather this collection of papers that honors Subhal Kumbhakar’s many accomplishments, drawing further attention to the various areas of scholarship that he has touched.
| Author | : Thomas B. Fomby |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 772 |
| Release | : 2014-11-21 |
| Genre | : Political Science |
| ISBN | : 1784411825 |
This volume honors Professor Peter C.B. Phillips' many contributions to the field of econometrics. The topics include non-stationary time series, panel models, financial econometrics, predictive tests, IV estimation and inference, difference-in-difference regressions, stochastic dominance techniques, and information matrix testing.
| Author | : Juan J. Dolado |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 203 |
| Release | : 2022-09-21 |
| Genre | : Business & Economics |
| ISBN | : 1803828315 |
Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades.
| Author | : Áureo de Paula |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 353 |
| Release | : 2020-10-19 |
| Genre | : Business & Economics |
| ISBN | : 1838675779 |
Showcasing fresh methodological and empirical research on the econometrics of networks, and comprising both theoretical, empirical and policy papers, the authors in this volume bring together a wide range of perspectives to facilitate a dialogue between academics and practitioners for better understanding this groundbreaking field.
| Author | : Ivan Jeliazkov |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 281 |
| Release | : 2019-08-30 |
| Genre | : Business & Economics |
| ISBN | : 1789732433 |
In honor of Dale J. Poirier, experienced editors Ivan Jeliazkov and Justin Tobias bring together a cast of expert contributors to explore the most up-to-date research on econometrics, including subjects such as panel data models, posterior simulation, and Bayesian models.
| Author | : Kim P. Huynh |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 338 |
| Release | : 2019-04-10 |
| Genre | : Business & Economics |
| ISBN | : 1787567257 |
This volume of Advances in Econometrics contains a selection of papers presented at the 'Econometrics of Complex Survey Data: Theory and Applications' conference organized by the Bank of Canada, Ottawa, Canada, from October 19-20, 2017.
| Author | : Juan Carlos Escanciano |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 539 |
| Release | : 2017-05-11 |
| Genre | : Business & Economics |
| ISBN | : 1787147290 |
Volume 38 of Advances in Econometrics collects twelve innovative and thought-provoking contributions to the literature on Regression Discontinuity designs, covering a wide range of methodological and practical topics such as identification, interpretation, implementation, falsification testing, estimation and inference.
| Author | : Badi H. Baltagi |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 403 |
| Release | : 2016-12-08 |
| Genre | : Business & Economics |
| ISBN | : 1785609858 |
Advances in Econometrics 37 highlights key research in econometrics in a user friendly way for economists who are not econometricians.
| Author | : Ivan Jeliazkov |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 361 |
| Release | : 2014-11-21 |
| Genre | : Political Science |
| ISBN | : 1784411841 |
This volume of Advances in Econometrics 34 focusses on Bayesian model comparison. It reflects the recent progress in model building and evaluation that has been achieved in the Bayesian paradigm and provides new state-of-the-art techniques, methodology, and findings that should stimulate future research.
