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A Regional Payroll Forecasting Model That Uses Bayesian Shrinkage Techniques for Data Pooling

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  • LeSage, James P.
  • Magura, Michael

Abstract

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Suggested Citation

  • LeSage, James P. & Magura, Michael, 1988. "A Regional Payroll Forecasting Model That Uses Bayesian Shrinkage Techniques for Data Pooling," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 18(1), pages 1-17.
    • Handle: RePEc:ags:jrapmc:128961
    DOI: 10.22004/ag.econ.128961
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    Cited by:

    1. Rickman, Dan S., 1995. "A bayesian analysis of the use of pooled coefficients in a structural regional economic model," International Journal of Forecasting, Elsevier, vol. 11(3), pages 477-490, September.
    2. Bokun, Kathryn O. & Jackson, Laura E. & Kliesen, Kevin L. & Owyang, Michael T., 2023. "FRED-SD: A real-time database for state-level data with forecasting applications," International Journal of Forecasting, Elsevier, vol. 39(1), pages 279-297.
    3. James LeSage & Bryce Cashell, 2015. "A comparison of vector autoregressive forecasting performance: spatial versus non-spatial Bayesian priors," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 533-560, March.
    4. James P. LeSage & Daniel Hendrikz, 2019. "Large Bayesian vector autoregressive forecasting for regions: A comparison of methods based on alternative disturbance structures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 563-599, June.

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    Keywords

    Community/Rural/Urban Development;

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