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Forecasting the Louisiana economy

Author

Listed:
  • William C. Gruben
  • Donald W. Hayes

Abstract

William C. Gruben and Donald W. Hayes have constructed a forecasting model that predicts mild overall growth in the Louisiana economy in 1991. The model predicts expansion in seven of nine economic indicators: the rig count, the civilian labor force, nonagricultural employment, housing permits, real personal income, mining, and sales tax revenue. Only durable and nondurable goods manufacturing will decline, according to the forecast. Gruben and Hayes conclude that while Louisiana is likely to experience an economic expansion in 1991, a boom is unlikely.

Suggested Citation

  • William C. Gruben & Donald W. Hayes, 1991. "Forecasting the Louisiana economy," Economic and Financial Policy Review, Federal Reserve Bank of Dallas, issue Mar, pages 1-16.
    • Handle: RePEc:fip:fedder:y:1991:i:mar:p:1-16
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    Cited by:

    1. Rangan Gupta & Moses M. Sichei, 2006. "A Bvar Model For The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 74(3), pages 391-409, September.
    2. Rangan Gupta & Sonali Das, 2010. "Predicting Downturns in the US Housing Market: A Bayesian Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 41(3), pages 294-319, October.
    3. Rangan Gupta, 2006. "FORECASTING THE SOUTH AFRICAN ECONOMY WITH VARs AND VECMs," South African Journal of Economics, Economic Society of South Africa, vol. 74(4), pages 611-628, December.
    4. Harry McGinnis, 1994. "Determining the Impact of Economic Factors on Local Government Growth Policy: Using Time-series Analysis and Transfer Function Models," Urban Studies, Urban Studies Journal Limited, vol. 31(2), pages 233-246, March.
    5. Rangan Gupta, 2009. "Bayesian Methods Of Forecasting Inventory Investment," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 113-126, March.

    More about this item

    Keywords

    Louisiana;

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