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Using interindustry input-output relations as a Bayesian prior in employment forecasting models

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  • LeSage, James P.
  • Magura, Michael

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  • LeSage, James P. & Magura, Michael, 1991. "Using interindustry input-output relations as a Bayesian prior in employment forecasting models," International Journal of Forecasting, Elsevier, vol. 7(2), pages 231-238, August.
    • Handle: RePEc:eee:intfor:v:7:y:1991:i:2:p:231-238
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    Citations

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    Cited by:

    1. Ashkan Masouman & Charles Harvie, 2020. "Forecasting, impact analysis and uncertainty propagation in regional integrated models: A case study of Australia," Environment and Planning B, , vol. 47(1), pages 65-83, January.
    2. Dan S. Rickman, 2001. "Using Input-Output Information for Bayesian Forecasting of Industry Employment in a Regional Econometric Model," International Regional Science Review, , vol. 24(2), pages 226-244, April.
    3. Sergio Rey & Guy West & Mark Janikas, 2004. "Uncertainty in Integrated Regional Models," Economic Systems Research, Taylor & Francis Journals, vol. 16(3), pages 259-277.
    4. 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.
    5. Kumar, V. & Leone, Robert P. & Gaskins, John N., 1995. "Aggregate and disaggregate sector forecasting using consumer confidence measures," International Journal of Forecasting, Elsevier, vol. 11(3), pages 361-377, September.
    6. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    7. Helmers, Glenn & Shaik, Saleem & Johnson, Bruce, 2005. "Forecasting Agricultural Land Values in the Midwest States1," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2005, pages 1-8.
    8. Dowd, Michael R. & LeSage, James P., 1997. "Analysis of spatial contiguity influences on state price level formation," International Journal of Forecasting, Elsevier, vol. 13(2), pages 245-253, June.
    9. James P. LeSage & Zheng Pan, 1995. "Using Spatial Contiguity as Bayesian Prior Information in Regional Forecasting Models," International Regional Science Review, , vol. 18(1), pages 33-53, January.
    10. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    11. repec:rre:publsh:v:40:y:2010:i:2:p:181-96 is not listed on IDEAS
    12. Rickman, Dan S. & Miller, Steven R., 2002. "An Evaluation of Alternative Strategies for Incorporating Interindustry Relationships into a Regional Employment Forecasting Model," The Review of Regional Studies, Southern Regional Science Association, vol. 32(1), pages 133-147, Winter/Sp.
    13. 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.
    14. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    15. Dan S. Rickman & Steven R. Miller & Russell McKenzie, 2009. "Spatial and sectoral linkages in regional models: A Bayesian vector autoregression forecast evaluation," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 29-41, March.
    16. 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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