The Econometrics of Multi-dimensional Panels Theory and Applications /

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 comple...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Matyas, Laszlo (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Advanced Studies in Theoretical and Applied Econometrics, 50
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 4 |a The Econometrics of Multi-dimensional Panels  |h [electronic resource] :  |b Theory and Applications /  |c edited by Laszlo Matyas. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
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490 1 |a Advanced Studies in Theoretical and Applied Econometrics,  |x 1570-5811 ;  |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. 
650 0 |a Big data. 
650 0 |a Data mining. 
650 0 |a Game theory. 
650 0 |a Statistics. 
650 0 |a Econometrics. 
650 1 4 |a Economics. 
650 2 4 |a Econometrics. 
650 2 4 |a Statistics for Business/Economics/Mathematical Finance/Insurance. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Big Data/Analytics. 
650 2 4 |a Game Theory, Economics, Social and Behav. Sciences. 
650 2 4 |a Statistical Theory and Methods. 
700 1 |a Matyas, Laszlo.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319607825 
830 0 |a Advanced Studies in Theoretical and Applied Econometrics,  |x 1570-5811 ;  |v 50 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-60783-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-ECF 
950 |a Economics and Finance (Springer-41170)