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The econometrics of multi-dimensiona...

Matyas, Laszlo.

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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.
Reminder of title:	theory and applications /
other author:	Matyas, Laszlo.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xix, 456 p. :ill., digital ;24 cm.
[NT 15003449]:	Fixed Effects Models -- Random Effects Models -- Models with Endogenous Regressors -- Dynamic Models and Reciprocity -- Random Coefficients Models -- Discrete Response Models -- Nonparametric Models with Random Effects -- Multi-dimensional Panels in Quantile Regression Models -- Models for Spatial Panels -- Modelling in the Presence of Cross-sectional Error Dependence -- The Estimation of Gravity Models in International Trade -- Modelling Housing Using Multi-dimensional Panel Data -- Modelling Migration -- Modeling Heterogeneity in Country-Industry-Year Panel Data: Two Illustrative Econometric Analyses -- The Determinants of Consumer Price Dispersion: Evidence from French Supermarkets.
Contained By:	Springer eBooks
Subject:	Econometric models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-60783-2
ISBN:	9783319607832

The econometrics of multi-dimensional panels = theory and applications /
The econometrics of multi-dimensional panelstheory and applications /[electronic resource] :edited by Laszlo Matyas. - Cham :Springer International Publishing :2017. - xix, 456 p. :ill., digital ;24 cm. - Advanced studies in theoretical and applied econometrics,v.501570-5811 ;. - Advanced studies in theoretical and applied econometrics ;v.50..

Fixed Effects Models -- Random Effects Models -- Models with Endogenous Regressors -- Dynamic Models and Reciprocity -- Random Coefficients Models -- Discrete Response Models -- Nonparametric Models with Random Effects -- Multi-dimensional Panels in Quantile Regression Models -- Models for Spatial Panels -- Modelling in the Presence of Cross-sectional Error Dependence -- The Estimation of Gravity Models in International Trade -- Modelling Housing Using Multi-dimensional Panel Data -- Modelling Migration -- Modeling Heterogeneity in Country-Industry-Year Panel Data: Two Illustrative Econometric Analyses -- The Determinants of Consumer Price Dispersion: Evidence from French Supermarkets.

This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated. The interaction between economics and econometrics resulted in a huge publication output, deepening and widening immensely our knowledge and understanding in both. The traditional panel data, by nature, are two-dimensional. Lately, however, as part of the big data revolution, there has been a rapid emergence of three, four and even higher dimensional panel data sets. These have started to be used to study the flow of goods, capital, and services, but also some other economic phenomena that can be better understood in higher dimensions. Oddly, applications rushed ahead of theory in this field. This book is aimed at filling this widening gap. 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.

ISBN: 9783319607832

Standard No.: 10.1007/978-3-319-60783-2doiSubjects--Topical Terms:

542933
Econometric models.

LC Class. No.: HB141 / .E36 2017

Dewey Class. No.: 330.015195

The econometrics of multi-dimensional panels = theory and applications /
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490 1 $a Advanced studies in theoretical and applied econometrics, $x 1570-5811 ; $v v.50
505 0 $a Fixed Effects Models -- Random Effects Models -- Models with Endogenous Regressors -- Dynamic Models and Reciprocity -- Random Coefficients Models -- Discrete Response Models -- Nonparametric Models with Random Effects -- Multi-dimensional Panels in Quantile Regression Models -- Models for Spatial Panels -- Modelling in the Presence of Cross-sectional Error Dependence -- The Estimation of Gravity Models in International Trade -- Modelling Housing Using Multi-dimensional Panel Data -- Modelling Migration -- Modeling Heterogeneity in Country-Industry-Year Panel Data: Two Illustrative Econometric Analyses -- The Determinants of Consumer Price Dispersion: Evidence from French Supermarkets.
520 $a This book presents the econometric foundations and applications of multi-dimensional panels, including modern methods of big data analysis. The last two decades or so, the use of panel data has become a standard in many areas of economic analysis. The available models formulations became more complex, the estimation and hypothesis testing methods more sophisticated. The interaction between economics and econometrics resulted in a huge publication output, deepening and widening immensely our knowledge and understanding in both. The traditional panel data, by nature, are two-dimensional. Lately, however, as part of the big data revolution, there has been a rapid emergence of three, four and even higher dimensional panel data sets. These have started to be used to study the flow of goods, capital, and services, but also some other economic phenomena that can be better understood in higher dimensions. Oddly, applications rushed ahead of theory in this field. This book is aimed at filling this widening gap. 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.
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