LARGE-DIMENSIONAL PANEL DATA ECONOMETRICS - Feng Qu
-25% koodilla BOOKS
Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
This book aims to fill the gap between panel data econometrics textbooks, and the latest development on "big data", especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data models, structural breaks in panels and group patterns in panels. To tackle these high d ... Täydellinen kuvaus
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Kuvaus
This book aims to fill the gap between panel data econometrics textbooks, and the latest development on "big data", especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data models, structural breaks in panels and group patterns in panels. To tackle these high dimensional issues, some techniques used in Machine Learning approaches are also illustrated. Moreover, the Monte Carlo experiments, and empirical examples are also utilised to show how to implement these new inference methods. Large-Dimensional Panel Data Econometrics: Testing, Estimation and Structural Changes also introduces new research questions and results in recent literature in this field.
Lisätietoja
| Kirjoittaja | Feng Qu |
|---|---|
| Julkaisija | World Scientific |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9789811220777 |