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A Bibliometric Review of Global Econometrics Research: Characteristics and Trends

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Predictive Econometrics and Big Data (TES 2018)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 753))

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Abstract

Using a bibliometric analysis, this research analyses on the Social Science Citation Index (SSCI) publications from the Institute for Scientific Information (ISI), Web of Science database, based on 12965 publications from 1497 journals during 1992 to 2016. The research was assessed the research’s characteristics and trends of most productive countries/regions and institutions, was pointed out the sharp increasing in China on econometrics research, Applied Economics (England) published the most econometrics articles. The research was also pointed out the temporal evolution of recent hot econometrics research issues. Global trends and characteristics was found throughout this research can give a general overview for further researches on econometrics.

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Correspondence to Man-Ling Chang .

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Pham, VC., Chang, ML. (2018). A Bibliometric Review of Global Econometrics Research: Characteristics and Trends. In: Kreinovich, V., Sriboonchitta, S., Chakpitak, N. (eds) Predictive Econometrics and Big Data. TES 2018. Studies in Computational Intelligence, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-70942-0_50

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  • DOI: https://doi.org/10.1007/978-3-319-70942-0_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70941-3

  • Online ISBN: 978-3-319-70942-0

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