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The econometrics of multi-dimensional panels = theory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The econometrics of multi-dimensional panels/ edited by Laszlo Matyas ; foreword by Marc Nerlove.
Reminder of title:	theory and applications /
other author:	Matyas, Laszlo.
Published:	Cham :Springer International Publishing : : 2024.,
Description:	xxi, 551 p. :ill., digital ;24 cm.
[NT 15003449]:	Fixed Effects Models -- When and How Much Do Fixed Effects Matter?- Random Effects Models -- Estimation of Sparse Variance-Covariance Matrix -- Models with Endogenous Regressors -- Dynamic Models and Reciprocity -- Random Coefficients Models -- Nonparametric Models with Random Effects -- Nonparametric Models with Fixed Effects -- Multi-dimensional Panels in Quantile Regression Models -- Multi-dimensional Models for Spatial Panels -- The Econometrics of Gravity Models in International Trade -- Modelling Housing Using Multi-dimensional Panel Data -- Modelling Migration -- Multi-dimensional Panels in Health Economics with an Application on Antibiotic Consumption -- Can Machine Learning Beat Gravity in Flow Prediction?
Contained By:	Springer Nature eBook
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-031-49849-7
ISBN:	9783031498497

The econometrics of multi-dimensional panels = theory and applications /
The econometrics of multi-dimensional panelstheory and applications /[electronic resource] :edited by Laszlo Matyas ; foreword by Marc Nerlove. - Second edition. - Cham :Springer International Publishing :2024. - xxi, 551 p. :ill., digital ;24 cm. - Advanced studies in theoretical and applied econometrics,542214-7977 ;. - Advanced studies in theoretical and applied econometrics ;54..

Fixed Effects Models -- When and How Much Do Fixed Effects Matter?- Random Effects Models -- Estimation of Sparse Variance-Covariance Matrix -- Models with Endogenous Regressors -- Dynamic Models and Reciprocity -- Random Coefficients Models -- Nonparametric Models with Random Effects -- Nonparametric Models with Fixed Effects -- Multi-dimensional Panels in Quantile Regression Models -- Multi-dimensional Models for Spatial Panels -- The Econometrics of Gravity Models in International Trade -- Modelling Housing Using Multi-dimensional Panel Data -- Modelling Migration -- Multi-dimensional Panels in Health Economics with an Application on Antibiotic Consumption -- Can Machine Learning Beat Gravity in Flow Prediction?

This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. In light of the big data revolution and the emergence of higher dimensional panel data sets, it provides new results to synthesize existing knowledge on the field. The first, theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions. This second extended and revised edition provides an update of all existent chapters to reflect on new developments in the area as well as several new chapters on topics such as machine learning, nonparametric models, networks, and multi-dimensional panels in health economics. The book serves as a standard reference work, a textbook for graduate students in economics, and a source of background material for professionals conducting empirical studies.

ISBN: 9783031498497

Standard No.: 10.1007/978-3-031-49849-7doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: HB141

Dewey Class. No.: 330

The econometrics of multi-dimensional panels = theory and applications /
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245 0 4 $a The econometrics of multi-dimensional panels $h [electronic resource] : $b theory and applications / $c edited by Laszlo Matyas ; foreword by Marc Nerlove.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2024.
300 $a xxi, 551 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advanced studies in theoretical and applied econometrics, $x 2214-7977 ; $v 54
505 0 $a Fixed Effects Models -- When and How Much Do Fixed Effects Matter?- Random Effects Models -- Estimation of Sparse Variance-Covariance Matrix -- Models with Endogenous Regressors -- Dynamic Models and Reciprocity -- Random Coefficients Models -- Nonparametric Models with Random Effects -- Nonparametric Models with Fixed Effects -- Multi-dimensional Panels in Quantile Regression Models -- Multi-dimensional Models for Spatial Panels -- The Econometrics of Gravity Models in International Trade -- Modelling Housing Using Multi-dimensional Panel Data -- Modelling Migration -- Multi-dimensional Panels in Health Economics with an Application on Antibiotic Consumption -- Can Machine Learning Beat Gravity in Flow Prediction?
520 $a This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. In light of the big data revolution and the emergence of higher dimensional panel data sets, it provides new results to synthesize existing knowledge on the field. The first, theoretical part of the volume is providing the econometric foundations to deal with these new high-dimensional panel data sets. It not only synthesizes our current knowledge, but mostly, presents new research results. The second empirical part of the book provides insight into the most relevant applications in this area. These chapters are a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions. This second extended and revised edition provides an update of all existent chapters to reflect on new developments in the area as well as several new chapters on topics such as machine learning, nonparametric models, networks, and multi-dimensional panels in health economics. The book serves as a standard reference work, a textbook for graduate students in economics, and a source of background material for professionals conducting empirical studies.
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650 0 $a Data mining. $3 562972
650 0 $a Game theory. $3 532607
650 0 $a Statistics. $3 517247
650 0 $a Econometrics. $3 542934
650 2 4 $a Quantitative Economics. $3 3538570
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650 2 4 $a Data Analysis and Big Data. $3 3538537
700 1 $a Matyas, Laszlo. $3 736987
700 1 $a Nerlove, Marc. $3 3712908
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advanced studies in theoretical and applied econometrics ; $v 54. $3 3712909
856 4 0 $u https://doi.org/10.1007/978-3-031-49849-7
950 $a Economics and Finance (SpringerNature-41170)