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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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