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An Unobserved Components Forecasting Model of Non-Farm Employment for the Nashville MSA

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  • Zietz, Joachim A.
  • Penn, David A.

Abstract

The study demonstrates how unobserved component modeling, also known as structural time series modeling, can be usefully applied to forecast non-farm employment for the Nash-ville MSA. Short-term out-of-sample forecasts are provided for total employment and its three components: services, construction, and manufacturing. The forecasts are compared to those of a simple vector autoregression. It is shown that the suggested methodology provides very ac-curate short-term forecasts even in the absence of a full set of independent regressors. In addition, it makes it possible to back out long-term trends, which aid the forecaster in making long-term projections of sectoral employment.

Suggested Citation

  • Zietz, Joachim A. & Penn, David A., 2008. "An Unobserved Components Forecasting Model of Non-Farm Employment for the Nashville MSA," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(1), pages 1-10.
  • Handle: RePEc:ags:jrapmc:132344
    DOI: 10.22004/ag.econ.132344
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    References listed on IDEAS

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    1. Gary L. Shoesmith, 2003. "Predicting National and Regional Recessions Using Probit Modeling and Interest‐Rate Spreads," Journal of Regional Science, Wiley Blackwell, vol. 43(2), pages 373-392, May.
    2. Gerald A. Carlino & Robert H. DeFina, 1997. "The differential regional effects of monetary policy: evidence from the U.S. States," Working Papers 97-12, Federal Reserve Bank of Philadelphia.
    3. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
    4. Thomas Doring & Jan Schnellenbach, 2006. "What do we know about geographical knowledge spillovers and regional growth?: A survey of the literature," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 375-395.
    5. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    6. Ron Martin & Peter Sunley, 1998. "Slow Convergence? The New Endogenous Growth Theory and Regional Development," Economic Geography, Taylor & Francis Journals, vol. 74(3), pages 201-227, July.
    7. Harvey, Andrew, 1997. "Trends, Cycles and Autoregressions," Economic Journal, Royal Economic Society, vol. 107(440), pages 192-201, January.
    8. Joachim Zietz, 1996. "The relative price of tradables and nontradables and the U.S. trade balance," Open Economies Review, Springer, vol. 7(2), pages 147-160, April.
    9. Börje Johansson & Charlie Karlsson & Roger R. Stough (ed.), 2001. "Theories of Endogenous Regional Growth," Advances in Spatial Science, Springer, number 978-3-642-59570-7, december.
    10. Gerald A. Carlino, 2003. "A confluence of events? explaining fluctuations in local employment," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 6-12.
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