A Bootstrap Neural Network Based Heterogeneous Panel Unit Root Test: Application to Exchange Rates

نویسندگان

  • Christian de Peretti
  • Carole Siani
  • Mario Cerrato
چکیده

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.

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تاریخ انتشار 2010