Forecasting US output growth using leading indicators: an appraisal using MIDAS modelsClements, M. P. ORCID: https://orcid.org/0000-0001-6329-1341 and Galvao, A. B. (2009) Forecasting US output growth using leading indicators: an appraisal using MIDAS models. Journal of Applied Econometrics, 24 (7). pp. 1187-1206. ISSN 1099-1255 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1002/jae.1075 Abstract/SummaryWe evaluate the predictive power of leading indicators for output growth at horizons up to 1 year. We use the MIDAS regression approach as this allows us to combine multiple individual leading indicators in a parsimonious way and to directly exploit the information content of the monthly series to predict quarterly output growth. When we use real-time vintage data, the indicators are found to have significant predictive ability, and this is further enhanced by the use of monthly data on the quarter at the time the forecast is made
Altmetric Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |