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The Econometrics of Multi-dimensional Panels

Theory and Applications

  • Laszlo Matyas

Part of the Advanced Studies in Theoretical and Applied Econometrics book series (ASTA, volume 50)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Laszlo Balazsi, Laszlo Matyas, Tom Wansbeek
    Pages 1-34
  3. Laszlo Balazsi, Badi H. Baltagi, Laszlo Matyas, Daria Pus
    Pages 35-69
  4. Laszlo Balazsi, Maurice J. G. Bun, Felix Chan, Mark N. Harris
    Pages 71-100
  5. Maurice J. G. Bun, Felix Chan, Mark N. Harris
    Pages 101-123
  6. Jaya Krishnakumar, Monika Avila Márquez, Laszlo Balazsi
    Pages 125-161
  7. Balazs Kertesz
    Pages 163-194
  8. Yiguo Sun, Wei Lin, Qi Li
    Pages 195-238
  9. Antonio F. Galvao, Gabriel V. Montes-Rojas
    Pages 239-261
  10. Julie Le Gallo, Alain Pirotte
    Pages 263-289
  11. George Kapetanios, Camilla Mastromarco, Laura Serlenga, Yongcheol Shin
    Pages 291-322
  12. Badi H. Baltagi, Peter H. Egger, Katharina Erhardt
    Pages 323-348
  13. Badi H. Baltagi, Georges Bresson
    Pages 349-376
  14. Raul Ramos
    Pages 377-395
  15. Nicoletta Berardi, Patrick Sevestre, Jonathan Thébault
    Pages 427-449
  16. Back Matter
    Pages 451-456

About this book

Introduction

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.

Keywords

Panel data Multi-dimensional data Multi-dimensional panels Econometric modeling Big Data Estimation Hypothesis testing Regression Spatial panels

Editors and affiliations

  • Laszlo Matyas
    • 1
  1. 1.Department of EconomicsCentral European UniversityBudapestHungary

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-60783-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Economics and Finance
  • Print ISBN 978-3-319-60782-5
  • Online ISBN 978-3-319-60783-2
  • Series Print ISSN 1570-5811
  • Series Online ISSN 2214-7977
  • Buy this book on publisher's site
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