Application of Statistical Methods and Neural Networks to Analysis of Factors of Small Business Development (the Case of China)

Natalya Egorova (), Albert Bakhtizin () and Yang Xuan ()
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Natalya Egorova: Central Economics and Mathematics Institute of the Russian Academy of Sciences
Albert Bakhtizin: Central Economics and Mathematics Institute of the Russian Academy of Sciences
Yang Xuan: Central Economics and Mathematics Institute of the Russian Academy of Sciences

Applied Econometrics, 2009, vol. 15, issue 3, 3-15

Abstract: By constructing a production function and using neural networks the authors study major trends of small business development in China. Comparative analysis of these methods is given as well as relative forecast calculations

Keywords: Small business development; production functions; neural networks (search for similar items in EconPapers)
JEL-codes: C26 C45 O11 (search for similar items in EconPapers)
Date: 2009
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