The information content of regional employment data for forecasting aggregate conditions
We consider whether disaggregated data enhances the efficiency of aggregate employment forecasts. We find that incorporating spatial interaction into a disaggregated forecasting model lowers the out-of-sample mean-squared-error from a univariate aggregate model by 70 percent at a two-year horizon.
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Volume (Year): 90 (2006)
Issue (Month): 3 (March)
Pages: 335-339
| Handle: | RePEc:eee:ecolet:v:90:y:2006:i:3:p:335-339 |
| Contact details of provider: | Web page: http://www.elsevier.com/locate/ecolet
|
References listed on IDEAS
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- Giacomini, Raffaella & Granger, Clive W.J., 2001.
"Aggregationn of Space-Time Processes,"
University of California at San Diego, Economics Working Paper Series
qt77f76455, Department of Economics, UC San Diego.
- Giacomini, Raffaella & Granger, Clive W. J., 2004. "Aggregation of space-time processes," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 7-26.
- Raffaella Giacomini & Clive W.J. Granger, 2002. "Aggregation of Space-Time Processes," Boston College Working Papers in Economics 582, Boston College Department of Economics.
- Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2004.
"Business cycle phases in U.S. states,"
Working Papers
2003-011, Federal Reserve Bank of St. Louis.
- Michael T. Owyang & Jeremy Piger & Howard J. Wall, 2005. "Business Cycle Phases in U.S. States," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 604-616, November.
- Lutkepohl, Helmut, 1984. "Linear transformations of vector ARMA processes," Journal of Econometrics, Elsevier, vol. 26(3), pages 283-293, December.
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