Abstract
Econometricians who try to follow and project the overall economy as closely as possible (“Economy Watchers”) frequently base their main forecasts on macroeconometric models, supplemented by the frequent flow — almost daily — of indicative information. As soon as reports are prepared about some specific area of economic activity, they are released to the public. At the extreme, we have instantaneous market reports, originating with the start of the day at the international date line and moving with the sun to Tokyo, Hong Kong, Sidney/Melbourne, Singapore, Frankfurt/Paris, London, New York, Chicago, Los Angeles/San Francisco. These data cover both commodity and financial market reports.
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Notes
Carol Corrado and Mark Greene (1988), “Reducing Uncertainty in Short-Term Projections: Linkage of Monthly and Quarterly Models”, Journal of Forecasting 7, pp.77–102.
Mark Greene, E. Philip Howrey, and Saul H. Hymans, “The Use of Outside Information in Econometric Forecasting”, in D.A. Belsley and E. Kuh (eds.) (1986), Model Reliability, Cambridge: MIT. The estimation of current quarter models from high frequency data was initiated many years ago by Otto Eckstein at Data Resources, Inc.
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© 1989 Kluwer Academic Publishers
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Klein, L.R., Sojo, E. (1989). Combinations of High and Low Frequency Data in Macroeconometric Models. In: Klein, L.R., Marquez, J. (eds) Economics in Theory and Practice: An Eclectic Approach. Advanced Studies in Theoretical and Applied Econometrics, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0463-7_1
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DOI: https://doi.org/10.1007/978-94-009-0463-7_1
Publisher Name: Springer, Dordrecht
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