The econometrics of multi-dimensional panels : theory and applications

• 其他作者：
  • Matyas, Laszlo., editor.
  • SpringerLink (Online service)
• 其他題名：
  • Advanced studies in theoretical and applied econometrics ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Advanced studies in theoretical and applied econometrics,volume 50
• 主題： Econometric models. , Game theory. , Statistics. , Economics. , Econometrics. , Statistics for Business/Economics/Mathematical Finance/Insurance. , Data Mining and Knowledge Discovery. , Big Data/Analytics. , Game Theory, Economics, Social and Behav. Sciences. , Statistical Theory and Methods.
• ISBN： 9783319607832 (electronic bk.) 、 9783319607825 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
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• 摘要註: 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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