Eskimo Art Prototypes in the Chinese Neolithic: A Comparison of Okvik/Old Bering Sea and Liangzhu Ritual Art
In: Sibirica: journal of Siberian studies ; the journal of Russia in Asia and the North Pacific, Band 13, Heft 3, S. 45-78
ISSN: 1476-6787
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In: Sibirica: journal of Siberian studies ; the journal of Russia in Asia and the North Pacific, Band 13, Heft 3, S. 45-78
ISSN: 1476-6787
"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"--Publisher's website
In: Voprosy istorii: VI = Studies in history, Band 2023, Heft 3-2, S. 208-213
Drum culture is arguably one of the most distinctive traditional cultures of ethnic minorities in China. This article uses the drum as an example to focus on the history of the development and evolution of the pluralistic drum culture in ethnic minority regions, and to illustrate from different perspectives the characteristics of drum culture in ethnic minority regions and its far-reaching impact on the economic and social development, traditional culture and artistic development of ethnic minority regions.
In: CESifo Working Paper Series No. 5088
SSRN
Working paper
In: Economics letters, Band 117, Heft 3, S. 730-733
ISSN: 0165-1765
In: Journal of development economics, Band 152, S. 102672
ISSN: 0304-3878
In: China economic review, Band 35, S. 183-196
ISSN: 1043-951X
In: Environmental science and pollution research: ESPR, Band 30, Heft 34, S. 82094-82106
ISSN: 1614-7499
In: EEB-D-22-00136
SSRN