Big data: the hunt for timely insights and decision certainty
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- D’Amuri, Francesco & Marcucci, Juri, 2017.
"The predictive power of Google searches in forecasting US unemployment,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
- Francesco D'Amuri & Juri Marcucci, 2012. "The predictive power of Google searches in forecasting unemployment," Temi di discussione (Economic working papers) 891, Bank of Italy, Economic Research and International Relations Area.
- David M Bholat, 2013. "The future of central bank data," Journal of Banking Regulation, Palgrave Macmillan, vol. 14(3-4), pages 185-194, July.
- Meltem Gulenay Chadwick & Gonul Sengul, 2015.
"Nowcasting the Unemployment Rate in Turkey : Let's ask Google,"
Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 15(3), pages 15-40.
- Meltem Gulenay Chadwick & Gonul Sengul, 2012. "Nowcasting Unemployment Rate in Turkey : Let's Ask Google," Working Papers 1218, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Brose,Margarita S. & Flood,Mark D. & Krishna,Dilip & Nichols,Bill (ed.), 2014. "Handbook of Financial Data and Risk Information I," Cambridge Books, Cambridge University Press, number 9781107012011, September.
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Cited by:
- Götz, Thomas B. & Knetsch, Thomas A., 2019.
"Google data in bridge equation models for German GDP,"
International Journal of Forecasting, Elsevier, vol. 35(1), pages 45-66.
- Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
- Vegard H. Larsen & Leif Anders Thorsrud, 2018.
"Business cycle narratives,"
Working Paper
2018/3, Norges Bank.
- Vegard H. Larsen & Leif Anders Thorsrud, 2019. "Business Cycle Narratives," CESifo Working Paper Series 7468, CESifo.
- repec:bny:wpaper:0046 is not listed on IDEAS
- repec:bny:wpaper:0064 is not listed on IDEAS
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Keywords
Big data; statistics; economics; nowcasting; indicators; central banking policies;All these keywords.
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