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Nowcasting

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This RePEc Biblio topic is edited by Domenico Giannone (pgi49). It was first published on 2015-01-05 15:46:10 and last updated on 2018-05-21 04:19:05.

Introduction by the editor

The term now‐casting is a contraction for now and forecasting and has been used for a long‐time in meteorology and recently also in economics. In economic nowcasting is defined as the prediction of the present, the very near future and the very recent past. Crucial in this process is to use timely monthly information in order to nowcast key economic variables, such as e.g. GDP, that are typically collected at low frequency and published with long delays.

Most relevant link for this topic

http://en.wikipedia.org/wiki/Nowcasting_%28economics%29

Most relevant JEL codes

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Most relevant research

  1. Martin D. D. Evans, 2005, "Where Are We Now? Real-Time Estimates of the Macroeconomy," International Journal of Central Banking, International Journal of Central Banking, volume 1, issue 2, September.
  2. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2008, "Nowcasting: The real-time informational content of macroeconomic data," Journal of Monetary Economics, Elsevier, volume 55, issue 4, pages 665-676, May.
  3. Bańbura, Marta & Giannone, Domenico & Modugno, Michele & Reichlin, Lucrezia, 2013, "Now-Casting and the Real-Time Data Flow," Handbook of Economic Forecasting, Elsevier, chapter 0, in: G. Elliott & C. Granger & A. Timmermann, "Handbook of Economic Forecasting", DOI: 10.1016/B978-0-444-53683-9.00004-9.
  4. Patrick C. Higgins, 2014, "GDPNow: A Model for GDP "Nowcasting"," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2014-7, Jul.
  5. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017, "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, volume 99, issue 2, pages 343-356, May.
  6. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2017, "Macroeconomic nowcasting and forecasting with big data," Staff Reports, Federal Reserve Bank of New York, number 830, Nov.
  7. Jose M. Carabias, 2018, "The real-time information content of macroeconomic news: implications for firm-level earnings expectations," Review of Accounting Studies, Springer, volume 23, issue 1, pages 136-166, March, DOI: 10.1007/s11142-017-9436-9.
  8. Lahiri, Kajal & Monokroussos, George, 2013, "Nowcasting US GDP: The role of ISM business surveys," International Journal of Forecasting, Elsevier, volume 29, issue 4, pages 644-658, DOI: 10.1016/j.ijforecast.2012.02.010.
  9. Joelle Liebermann, 2014, "Real-Time Nowcasting of GDP: A Factor Model vs. Professional Forecasters," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 76, issue 6, pages 783-811, December.
  10. Daniela Bragoli & Jack Fosten, 2016, "Nowcasting Indian GDP," University of East Anglia School of Economics Working Paper Series, School of Economics, University of East Anglia, Norwich, UK., number 2016-06, Jun.
  11. Tony Chernis & Rodrigo Sekkel, 2017, "A Dynamic Factor Model for Nowcasting Canadian GDP Growth," Staff Working Papers, Bank of Canada, number 17-2, DOI: 10.34989/swp-2017-2.
  12. Edward S. Knotek & Saeed Zaman, 2017, "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1702, Mar, DOI: 10.26509/frbc-wp-201702.
  13. Tatjana Dahlhaus & Justin-Damien Guénette & Garima Vasishtha, 2015, "Nowcasting BRIC+M in Real Time," Staff Working Papers, Bank of Canada, number 15-38, DOI: 10.34989/swp-2015-38.
  14. Matteo Luciani & Madhavi Pundit & Arief Ramayandi & Giovanni Veronese, 2015, "Nowcasting Indonesia," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2015-100, Nov, DOI: 10.17016/FEDS.2015.100.
  15. Troy D. Matheson, 2014, "New indicators for tracking growth in real time," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, volume 2013, issue 2, pages 51-71, DOI: 10.1787/jbcma-2013-5jz741mh2czs.
  16. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015, "Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 178, issue 4, pages 837-862, October.
  17. Matteo Luciani & Lorenzo Ricci, 2014, "Nowcasting Norway," International Journal of Central Banking, International Journal of Central Banking, volume 10, issue 4, pages 215-248, December.
  18. Antonello D'Agostino & Kieran McQuinn & Derry O’Brien, 2012, "Nowcasting Irish GDP," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, volume 2012, issue 2, pages 21-31, DOI: 10.1787/jbcma-2012-5k92n2pwccwb.
  19. Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016, "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series, Federal Reserve Bank of Chicago, number WP-2016-5, May.
  20. Bragoli, Daniela, 2017, "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 390-402, DOI: 10.1016/j.ijforecast.2016.11.004.