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Myles J. Callan

Personal Details

First Name:Myles
Middle Name:J.
Last Name:Callan
Suffix:
RePEc Short-ID:pca91
http://www.mylescallan.com

Research output

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Jump to: Working papers Articles

Working papers

  1. Myles Callan & Eric Ghysels & Norman R. Swanson, 1998. "Monetary Policy Rules with Model and Data Uncertainty," CIRANO Working Papers 98s-40, CIRANO.

Articles

  1. Eric Ghysels & Norman R. Swanson & Myles Callan, 2002. "Monetary Policy Rules with Model and Data Uncertainty," Southern Economic Journal, Southern Economic Association, vol. 69(2), pages 239-265, October.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Myles Callan & Eric Ghysels & Norman R. Swanson, 1998. "Monetary Policy Rules with Model and Data Uncertainty," CIRANO Working Papers 98s-40, CIRANO.

    Cited by:

    1. Peter Christoffersen & Eric Ghysels & Norman Swanson, 2000. "Let's Get "Real" About Using Economic Data," Econometric Society World Congress 2000 Contributed Papers 1004, Econometric Society.
    2. Andres Fernandez & Norman R. Swanson, 2009. "Real-time datasets really do make a difference: definitional change, data release, and forecasting," Working Papers 09-28, Federal Reserve Bank of Philadelphia.
    3. Vázquez Pérez, Jesús & María-Dolores, Ramón & Londoño Yarce, Juan Miguel, 2012. "The Effect of Data Revisions on the Basic New Keynesian Model," DFAEII Working Papers 2012-05, University of the Basque Country - Department of Foundations of Economic Analysis II.
    4. Ruben Atoyan & Patrick Conway, 2011. "Projecting macroeconomic outcomes: Evidence from the IMF," The Review of International Organizations, Springer, vol. 6(3), pages 415-441, September.
    5. Corradi, Valentina & Swanson, Norman R., 2004. "Some recent developments in predictive accuracy testing with nested models and (generic) nonlinear alternatives," International Journal of Forecasting, Elsevier, vol. 20(2), pages 185-199.
    6. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
    7. Akram, Q. Farooq, 2011. "Policy analysis in real time using IMF's monetary model," Economic Modelling, Elsevier, vol. 28(4), pages 1696-1709, July.
    8. Söderström, Ulf, 1999. "Should central banks be more aggressive?," SSE/EFI Working Paper Series in Economics and Finance 309, Stockholm School of Economics.
    9. Seth Pruitt, 2012. "Uncertainty Over Models and Data: The Rise and Fall of American Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 341-365, March.
    10. Dean Croushore & Tom Stark, 1999. "A real-time data set for marcoeconomists: does the data vintage matter?," Working Papers 99-21, Federal Reserve Bank of Philadelphia.
    11. Felipe Morandé Lavín & Mauricio Tejada, 2008. "Sources of Uncertainty for Conducting Monetary Policy in Chile," Working Papers wp285, University of Chile, Department of Economics.
    12. Vázquez, Jesús & María-Dolores, Ramón & Londoño, Juan-Miguel, 2013. "On the informational role of term structure in the US monetary policy rule," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1852-1871.
    13. Dean Croushore & Tom Stark, 2002. "Is macroeconomic research robust to alternative data sets?," Working Papers 02-3, Federal Reserve Bank of Philadelphia.
    14. Dean Croushore & Tom Stark, 2000. "A real-time data set for macroeconomists: does data vintage matter for forecasting?," Working Papers 00-6, Federal Reserve Bank of Philadelphia.
    15. Raffella Giacomini & Barbara Rossi, 2005. "Detecting and Predicting Forecast Breakdowns," UCLA Economics Working Papers 845, UCLA Department of Economics.
    16. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    17. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting industrial production: the role of information and methods," IFC Bulletins chapters,in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 227-235 Bank for International Settlements.
    18. María-Dolores, Ramon & Vazquez, Jesus & Londoño, Juan M., 2009. "Extending the New Keynesian Monetary Model with Information Revision Processes: Real-time and Revised Data," UMUFAE Economics Working Papers 4695, DIGITUM. Universidad de Murcia.
    19. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
    20. Felipe Morandé L. & Mauricio Tejada G., 2008. "Sources of Uncertainty in Monetary Policy Conduct in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(3), pages 45-80, December.

Articles

  1. Eric Ghysels & Norman R. Swanson & Myles Callan, 2002. "Monetary Policy Rules with Model and Data Uncertainty," Southern Economic Journal, Southern Economic Association, vol. 69(2), pages 239-265, October.
    See citations under working paper version above.Sorry, no citations of articles recorded.

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