IDEAS home Printed from https://ideas.repec.org/r/bes/jnlbes/v4y1986i1p5-15.html
   My bibliography  Save this item

Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mark Baimbridge & Philip Whyman, 1997. "Institutional macroeconomic forecasting performance of the UK economy," Applied Economics Letters, Taylor & Francis Journals, vol. 4(6), pages 373-376.
  2. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
  3. Karlsson, Sune, 2013. "Forecasting with Bayesian Vector Autoregression," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 791-897, Elsevier.
  4. Peter A. Zadrozny, 1990. "Estimating A Multivariate Arma Model with Mixed-Frequency Data: An Application to Forecasting U.S. GNP at Monthly Intervals," Working Papers 90-5, Center for Economic Studies, U.S. Census Bureau.
  5. Jacinta C. Nwachukwu & Aqsa Aziz & Uchenna Tony‐Okeke & Simplice A. Asongu, 2018. "The determinants of interest rates in microfinance: Age, scale and organizational charter," Review of Development Economics, Wiley Blackwell, vol. 22(3), pages 135-159, August.
  6. Rother, Philipp C., 1998. "European monetary integration and the demand for money," Journal of International Money and Finance, Elsevier, vol. 17(4), pages 691-711, August.
  7. Diana A. Cooke & William T. Gavin, 2015. "Three Scenarios for Interest Rates in the Transition to Normalcy," Review, Federal Reserve Bank of St. Louis, vol. 97(1), pages 1-24.
  8. Haiyan Song & Egon Smeral & Gang Li & Jason L. Chen, 2008. "Tourism Forecasting: Accuracy of Alternative Econometric Models Revisited," WIFO Working Papers 326, WIFO.
  9. repec:lan:wpaper:539557 is not listed on IDEAS
  10. Aubry, Mathilde & Renou-Maissant, Patricia, 2014. "Semiconductor industry cycles: Explanatory factors and forecasting," Economic Modelling, Elsevier, vol. 39(C), pages 221-231.
  11. Christopher A. Sims, 1993. "A Nine-Variable Probabilistic Macroeconomic Forecasting Model," NBER Chapters, in: Business Cycles, Indicators, and Forecasting, pages 179-212, National Bureau of Economic Research, Inc.
  12. repec:zbw:bofrdp:1991_004 is not listed on IDEAS
  13. Sharon Kozicki & P. A. Tinsley, 2012. "Effective Use of Survey Information in Estimating the Evolution of Expected Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 145-169, February.
  14. Langfeldt, Enno & Trapp, Peter, 1988. "Experiences in macroeconomic forecasting in the Federal Republic of Germany, 1976-1987," Kiel Working Papers 331, Kiel Institute for the World Economy (IfW Kiel).
  15. Hafer, R. W. & Sheehan, Richard G., 1989. "The sensitivity of VAR forecasts to alternative lag structures," International Journal of Forecasting, Elsevier, vol. 5(3), pages 399-408.
  16. Sharon Kozicki & P. A. Tinsley, 2006. "Survey-Based Estimates of the Term Structure of Expected U.S. Inflation," Staff Working Papers 06-46, Bank of Canada.
  17. Gediminas Adomavicius & Jesse Bockstedt & Alok Gupta, 2012. "Modeling Supply-Side Dynamics of IT Components, Products, and Infrastructure: An Empirical Analysis Using Vector Autoregression," Information Systems Research, INFORMS, vol. 23(2), pages 397-417, June.
  18. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
  19. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Research Discussion Papers 4/1991, Bank of Finland.
  20. Raul Ibarra & Luis M. Gomez-Zamudio, 2017. "Are Daily Financial Data Useful for Forecasting GDP? Evidence from Mexico," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 173-203, April.
  21. repec:lan:wpaper:413 is not listed on IDEAS
  22. Karine Bouthevillain & Alexandre Mathis, 1995. "Prévisions : mesures, erreurs et principaux résultats," Économie et Statistique, Programme National Persée, vol. 285(1), pages 89-100.
  23. Gary L. Shoesmith, 1990. "The Forecasting Accuracy of Regional Bayesian VAR Models with Alternative National Variable Choices," International Regional Science Review, , vol. 13(3), pages 257-269, December.
  24. Roy H. Webb, 1999. "Two approaches to macroeconomic forecasting," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 23-40.
  25. Heilemann, Ullrich & Stekler, H. O., 2003. "Has the accuracy of German macroeconomic forecasts improved?," Technical Reports 2003,31, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
  26. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
  27. Starck, Christian, 1991. "Specifying a Bayesian vector autoregression for short-run macroeconomic forecasting with an application to Finland," Bank of Finland Research Discussion Papers 4/1991, Bank of Finland.
  28. Martin Feldstein & James H. Stock, 1994. "The Use of a Monetary Aggregate to Target Nominal GDP," NBER Chapters, in: Monetary Policy, pages 7-69, National Bureau of Economic Research, Inc.
  29. Kim, Jae H., 1999. "Asymptotic and bootstrap prediction regions for vector autoregression," International Journal of Forecasting, Elsevier, vol. 15(4), pages 393-403, October.
  30. William W. Chow, 2004. "An outlier robust hierarchical Bayes model for forecasting: the case of Hong Kong," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 99-114.
  31. Francisco F. R. Ramos, 1996. "VAR Priors: Success or lack of a decent macroeconomic theory?," Econometrics 9601002, University Library of Munich, Germany.
  32. Jan Jacobs & Albert van der Horst,, 1996. "VAR-ing the economy of the Netherlands," Working Papers 24, Centre for Economic Research, University of Groningen and University of Twente.
  33. Jacinta C. Nwachukwu & Simplice A. Asongu, 2015. "The Determinants of Interest Rates in Microbanks: Age and Scale," Research Africa Network Working Papers 15/004, Research Africa Network (RAN).
  34. Ekundayo Peter Mesagan & Kolawole Kushimo & Dominic Ikoh Umar, 2021. "Do fluctuations in exchange rate hinder non-oil export? An analysis of agriculture and manufacturing in Nigeria," SN Business & Economics, Springer, vol. 1(11), pages 1-23, November.
  35. Shoesmith, Gary L., 1995. "Multiple cointegrating vectors, error correction, and forecasting with Litterman's model," International Journal of Forecasting, Elsevier, vol. 11(4), pages 557-567, December.
  36. Otavio Ribeiro de Medeiros & Bernardus Ferdinandus Nazar Van Doornik & Gustavo Rezende de Oliveira, 2011. "Modeling and forecasting a firm’s financial statements with a VAR – VECM model," Brazilian Business Review, Fucape Business School, vol. 8(3), pages 20-39, July.
  37. Zhuk Mykola O. & Zdrok Valentin V., 2014. "Modelling Dynamics of Main Indicators of Economic Activity of Households of Ukraine," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 1, pages 82-91.
  38. Catherine Doz & Pierre Malgrange, 1992. "Modèles VAR et prévisions à court terme," Économie et Prévision, Programme National Persée, vol. 106(5), pages 109-122.
  39. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, University of Reading.
  40. Victor Zarnowitz, 1986. "The Record and Improvability of Economic Forecasting," NBER Working Papers 2099, National Bureau of Economic Research, Inc.
  41. repec:lan:wpaper:470 is not listed on IDEAS
  42. Peter C.B. Phillips, 1995. "Automated Forecasts of Asia-Pacific Economic Activity," Cowles Foundation Discussion Papers 1103, Cowles Foundation for Research in Economics, Yale University.
  43. Michael T. Belongia, 1987. "Predicting interest rates: a comparison of professional and market- based forecasts," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 9-15.
  44. Elisa Keller, 2007. "Classical and Bayesian Methods for the VAR Analysis: International Comparisons," Rivista di Politica Economica, SIPI Spa, vol. 97(6), pages 149-202, November-.
  45. repec:lan:wpaper:425 is not listed on IDEAS
  46. Oller, Lars-Erik & Barot, Bharat, 2000. "The accuracy of European growth and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 16(3), pages 293-315.
  47. Karine Bouthevillain, 1993. "La prévision macro-économique : précision relative et consensus," Économie et Prévision, Programme National Persée, vol. 108(2), pages 97-126.
  48. Villani, Mattias, 2001. "Bayesian prediction with cointegrated vector autoregressions," International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
  49. Racette, Daniel & Raynauld, Jacques & Lauzon, Simon, 1992. "La règle monétaire de McCallum revue à la lumière de la méthodologie de Litterman," L'Actualité Economique, Société Canadienne de Science Economique, vol. 68(1), pages 262-282, mars et j.
  50. Simkins, Scott, 1995. "Forecasting with vector autoregressive (VAR) models subject to business cycle restrictions," International Journal of Forecasting, Elsevier, vol. 11(4), pages 569-583, December.
  51. Vesna Bucevska & Borjan Gjelevski & Lea Matevska, 2023. "Oil Prices And Their Long-Term Relationship With Macroeconomic And Financial Indicators," Economic Review: Journal of Economics and Business, University of Tuzla, Faculty of Economics, vol. 21(1), pages 3-24, May.
  52. David E. Runkle, 1988. "Why no crunch from the crash?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 12(Win), pages 2-7.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.