Panel data econometrics is in its ascendancy, combining the power of cross section averaging with all the subtleties of temporal and spatial dependence.
Panel data econometrics is in its ascendancy, combining the power of cross section averaging with all the subtleties of temporal and spatial dependence. Badi Baltagi provides a remarkable roadmap of this fascinating interface of econometric method, enticing the novitiate with technical gentleness, the expert with comprehensive coverage and the practitioner with many empirical applications.
I great book for Econometric that focused very much on examples.
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He was previously at TexasA&M University and the University of Houston.
Micro and Macro panels are increasing in numbers and availability and methods to deal with these data are in high demand from practitioners.
Advantages of panel data analysis. Baltagi, B. Econometric Analysis of Panel Data, Wiley. Panels are more informative than simple time series of aggregates, as they allow tracking individual histories. A 10% unemployment rate is less informative than a panel of individuals with all of them unemployed 10% of the time or one with 10% always unemployed; ◮ Panels are more informative than cross-sections, as they reect dynamics and Granger causality across variables. Hsiao, C. Analysis of Panel Data, Cambridge University Press.
This book provides both a rigorous introduction to standard panel estimators as well as concise explanations of many newer, more advanced techniques.
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Start by marking Econometric Analysis of Panel Data as Want to Read: Want to Read savin. The book is packed with the most recent empirical examples from panel data literature, for example, a simultaneous equation on Crime will be added to chapter 7, which will be illustrated with STATA.
Panel data (also known as longitudinal or cross-sectional time-series data) is a dataset in which the behavior of entities are observed across time. Econometric Analysis of Panel Data, Badi H. Baltagi, Wiley, 2008. Introduction to econometrics, James H. Stock, Mark W. Watson. These entities could be states, companies, individuals, countries, etc. Panel data looks like this. 2nd e. Boston: Pearson Addison Wesley, 2007. Statistical Analysis: an interdisciplinary introduction to univariate & multivariate methods, Sam Kachigan, New York : Radius Press, c1986.