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There are 11594 results for: content related to: Factor MIDAS for Nowcasting and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP *

  1. Unrestricted mixed data sampling (MIDAS): MIDAS regressions with unrestricted lag polynomials

    Journal of the Royal Statistical Society: Series A (Statistics in Society)

    Volume 178, Issue 1, January 2015, Pages: 57–82, Claudia Foroni, Massimiliano Marcellino and Christian Schumacher

    Version of Record online : 9 DEC 2013, DOI: 10.1111/rssa.12043

  2. The Importance of Being Timely

    Journal of Forecasting

    Volume 34, Issue 6, September 2015, Pages: 492–506, Paul Smith

    Version of Record online : 23 JUL 2015, DOI: 10.1002/for.2355

  3. Forecasting GDP over the Business Cycle in a Multi-Frequency and Data-Rich Environment

    Oxford Bulletin of Economics and Statistics

    Volume 77, Issue 3, June 2015, Pages: 360–384, Marie Bessec and Othman Bouabdallah

    Version of Record online : 2 JUL 2014, DOI: 10.1111/obes.12069

  4. You have full text access to this OnlineOpen article
    Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility

    Journal of the Royal Statistical Society: Series A (Statistics in Society)

    Volume 178, Issue 4, October 2015, Pages: 837–862, Andrea Carriero, Todd E. Clark and Massimiliano Marcellino

    Version of Record online : 27 JAN 2015, DOI: 10.1111/rssa.12092

  5. POOLING VERSUS MODEL SELECTION FOR NOWCASTING GDP WITH MANY PREDICTORS: EMPIRICAL EVIDENCE FOR SIX INDUSTRIALIZED COUNTRIES

    Journal of Applied Econometrics

    Volume 28, Issue 3, April/May 2013, Pages: 392–411, Vladimir Kuzin, Massimiliano Marcellino and Christian Schumacher

    Version of Record online : 14 MAY 2012, DOI: 10.1002/jae.2279

  6. Forecasting US output growth using leading indicators: an appraisal using MIDAS models

    Journal of Applied Econometrics

    Volume 24, Issue 7, November/December 2009, Pages: 1187–1206, Michael P. Clements and Ana Beatriz Galvão

    Version of Record online : 16 APR 2009, DOI: 10.1002/jae.1075

  7. Density Nowcasts and Model Combination: Nowcasting Euro-Area GDP Growth over the 2008–09 Recession

    Oxford Bulletin of Economics and Statistics

    Volume 76, Issue 2, April 2014, Pages: 233–256, Gian Luigi Mazzi, James Mitchell and Gaetana Montana

    Version of Record online : 31 MAR 2013, DOI: 10.1111/obes.12015

  8. ECONOMIC FORECAST QUALITY AND PUBLICATION LAGS

    The Manchester School

    Volume 81, Issue 4, July 2013, Pages: 518–549, NICHOLAS TAYLOR

    Version of Record online : 19 JUN 2012, DOI: 10.1111/j.1467-9957.2012.02298.x

  9. Google's MIDAS Touch: Predicting UK Unemployment with Internet Search Data

    Journal of Forecasting

    Volume 35, Issue 3, April 2016, Pages: 263–284, Paul Smith

    Version of Record online : 14 FEB 2016, DOI: 10.1002/for.2391

  10. Real-Time Nowcasting of GDP: A Factor Model vs. Professional Forecasters

    Oxford Bulletin of Economics and Statistics

    Volume 76, Issue 6, December 2014, Pages: 783–811, Joelle Liebermann

    Version of Record online : 3 DEC 2013, DOI: 10.1111/obes.12047

  11. Forecasting Inflation Rates Using Daily Data: A Nonparametric MIDAS Approach

    Journal of Forecasting

    Volume 34, Issue 7, November 2015, Pages: 588–603, JÖrg Breitung and Christoph Roling

    Version of Record online : 4 AUG 2015, DOI: 10.1002/for.2361

  12. You have free access to this content
    Blending HF radar and model velocities in Monterey Bay through normal mode analysis

    Journal of Geophysical Research: Oceans (1978–2012)

    Volume 105, Issue C2, 15 February 2000, Pages: 3425–3450, B. L. Lipphardt Jr., A. D. Kirwan Jr., C. E. Grosch, J. K. Lewis, J. D. Paduan

    Version of Record online : 15 FEB 2000, DOI: 10.1029/1999JC900295

  13. Reliability and Validity of the Japanese Migraine Disability Assessment (MIDAS) Questionnaire

    Headache: The Journal of Head and Face Pain

    Volume 43, Issue 4, April 2003, Pages: 343–352, Miho Iigaya, Fumihiko Sakai, Kenneth B. Kolodner, Richard B. Lipton and Walter F. Stewart

    Version of Record online : 27 MAR 2003, DOI: 10.1046/j.1526-4610.2003.03069.x

  14. Forecasting Mixed-Frequency Time Series with ECM-MIDAS Models

    Journal of Forecasting

    Volume 33, Issue 3, April 2014, Pages: 198–213, Thomas B. Götz, Alain Hecq and Jean-Pierre Urbain

    Version of Record online : 3 MAR 2014, DOI: 10.1002/for.2286

  15. You have full text access to this OnlineOpen article
    MIDAS robust trend estimator for accurate GPS station velocities without step detection

    Journal of Geophysical Research: Solid Earth

    Volume 121, Issue 3, March 2016, Pages: 2054–2068, Geoffrey Blewitt, Corné Kreemer, William C. Hammond and Julien Gazeaux

    Version of Record online : 4 MAR 2016, DOI: 10.1002/2015JB012552

  16. You have free access to this content
    The Canadian Airport Nowcasting System (CAN-Now)

    Meteorological Applications

    Volume 21, Issue 1, January 2014, Pages: 30–49, George A. Isaac, Monika Bailey, Faisal S. Boudala, William R. Burrows, Stewart G. Cober, Robert W. Crawford, Norman Donaldson, Ismail Gultepe, Bjarne Hansen, Ivan Heckman, Laura X. Huang, Alister Ling, Jocelyn Mailhot, Jason A. Milbrandt, Janti Reid and Marc Fournier

    Version of Record online : 3 AUG 2012, DOI: 10.1002/met.1342

  17. You have free access to this content
    Evaluating the effects of image filtering in short-term radar rainfall forecasting for hydrological applications

    Meteorological Applications

    Volume 13, Issue 3, September 2006, Pages: 289–303, Matthew P. Van Horne, Enrique R. Vivoni, Dara Entekhabi, Ross N. Hoffman and Christopher Grassotti

    Version of Record online : 25 JAN 2007, DOI: 10.1017/S1350482706002295

  18. You have free access to this content
    Front Matter

    MIDAS Technical Analysis: A VWAP Approach to Trading and Investing in Today's Markets

    Andrew Coles, David G. Hawkins, Pages: i–xxi, 2012

    Published Online : 11 SEP 2012, DOI: 10.1002/9781118531877.fmatter

  19. The Importance of the Macroeconomic Variables in Forecasting Stock Return Variance: A GARCH-MIDAS Approach

    Journal of Forecasting

    Volume 32, Issue 7, November 2013, Pages: 600–612, Hossein Asgharian, Ai Jun Hou and Farrukh Javed

    Version of Record online : 22 JUL 2013, DOI: 10.1002/for.2256

  20. HIT-6 and MIDAS as Measures of Headache Disability in a Headache Referral Population

    Headache: The Journal of Head and Face Pain

    Volume 50, Issue 3, March 2010, Pages: 383–395, Khara M. Sauro, Marianne S. Rose, Werner J. Becker, Suzanne N. Christie, Rose Giammarco, Gordon F. Mackie, Arnoldas G. Eloff and Marek J. Gawel

    Version of Record online : 8 OCT 2009, DOI: 10.1111/j.1526-4610.2009.01544.x