Regional aggregation in forecasting: an application to the Federal Reserve's Eighth District
AbstractHernández-Murillo and Owyang (2006) showed that accounting for spatial correlations in regional data can improve forecasts of national employment. This paper considers whether the predictive advantage of disaggregate models remains when forecasting subnational data. The authors conduct horse races among several forecasting models in which the objective is to forecast regional- or state-level employment. For some models, the objective is to forecast using the sum of further disaggregated employment (i.e., forecasts of metropolitan statistical area (MSA)-level data are summed to yield state-level forecasts). The authors find that the spatial relationships between states have sufficient predictive content to overcome small increases in the number of estimated parameters when forecasting regional-level data; this is not always true when forecasting state- and regional-level data using the sum of MSA-level forecasts.
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Bibliographic InfoArticle provided by Federal Reserve Bank of St. Louis in its journal Regional Economic Development.
Volume (Year): (2008)
Issue (Month): Oct ()
Other versions of this item:
- Kristie M. Engemann & Rubén Hernández-Murillo & Michael T. Owyang, 2011. "Regional aggregation in forecasting: an application to the Federal Reserve’s Eighth District," Review, Federal Reserve Bank of St. Louis, issue May, pages 207-222.
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- Raffaella Giacomini & Clive W.J. Granger, 2002.
"Aggregation of Space-Time Processes,"
Boston College Working Papers in Economics
582, Boston College Department of Economics.
- 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.
- Rubén Hernández-Murillo & Michael T. Owyang, 2004.
"The information content of regional employment data for forecasting aggregate conditions,"
2004-005, Federal Reserve Bank of St. Louis.
- Hernandez-Murillo, Ruben & Owyang, Michael T., 2006. "The information content of regional employment data for forecasting aggregate conditions," Economics Letters, Elsevier, vol. 90(3), pages 335-339, March.
- Conley, Timothy G. & Molinari, Francesca, 2005.
"Spatial Correlation Robust Inference with Errors in Location or Distance,"
05-12, Cornell University, Center for Analytic Economics.
- Conley, Timothy G. & Molinari, Francesca, 2007. "Spatial correlation robust inference with errors in location or distance," Journal of Econometrics, Elsevier, vol. 140(1), pages 76-96, September.
- Timothy Conley & Francesca Molinari, 2005. "Spatial correlation robust inference with Errors in Location or Distance," CeMMAP working papers CWP10/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Owyang, Michael T. & Piger, Jeremy & Wall, Howard J., 2008.
"A state-level analysis of the Great Moderation,"
Regional Science and Urban Economics,
Elsevier, vol. 38(6), pages 578-589, November.
- Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2007. "A state-level analysis of the Great Moderation," Working Papers 2007-003, Federal Reserve Bank of St. Louis.
- Michael T. Owyang & Jeremy Piger & Howard J. Wall & Federal Reserve Bank of St. Louis, 2006. "A State-Level Analysis of the Great Moderation," Computing in Economics and Finance 2006 131, Society for Computational Economics.
- Hendry, David F & Hubrich, Kirstin, 2006.
"Forecasting Economic Aggregates by Disaggregates,"
CEPR Discussion Papers
5485, C.E.P.R. Discussion Papers.
- Owyang, Michael T. & Piger, Jeremy M. & Wall, Howard J. & Wheeler, Christopher H., 2008.
"The economic performance of cities: A Markov-switching approach,"
Journal of Urban Economics,
Elsevier, vol. 64(3), pages 538-550, November.
- Michael T. Owyang & Jeremy M. Piger & Howard J. Wall & Christopher H. Wheeler, 2007. "The economic performance of cities: a Markov-switching approach," Working Papers 2006-056, 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.
- Lesage, James P & Magura, Michael, 1990. "Using Bayesian Techniques for Data Pooling in Regional Payroll Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 127-35, January.
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