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Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point
Language
English
English
Book
Hardback
This book presents the econometric foundations and applications of multi-dimensional panels, includi...
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Libristo code: 16335711
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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 will be a mixture of surveys and new results, always focusing on the econometric problems and feasible solutions.
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About the book
Full name
Econometrics of Multi-dimensional Panels
Author
Laszlo Matyas
Language
English
English
Binding
Book - Hardback
Date of issue
2017
Number of pages
456
EAN
9783319607825
ISBN
3319607820
Libristo code
16335711
Publishers
Springer International Publishing AG
Weight
8336
Dimensions
155 x 235 x 33
Categories
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