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  • 标题:A bootstrap neural network based heterogeneous panel unit root test: application to exchange rates
  • 本地全文:下载
  • 作者:Christian de Peretti a ; b  Carole Siani c Mario Cerrato d
  • 期刊名称:Departmental Discussion Papers / University of Glasgow, Department of Economics
  • 出版年度:2010
  • 卷号:1
  • 出版社:University of Glasgow, Department of Economics
  • 摘要:This paper proposes a bootstrap artificial neural network based panel unit root test in a dynamic heterogeneous panel context. An application to a panel of bilateral real exchange rate series with the US Dollar from the 20 major OECD countries is provided to investigate the Purchase Power Parity (PPP). The combination of neural network and bootstrapping significantly changes the findings of the economic study in favour of PPP.
  • 关键词:Artificial neural network, panel unit root test, bootstrap, Monte Carlo experiments, exchange rates.
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