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A new strategy to estimate time-to-build completion rates

Author

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  • Yong-gook Jung

    (Wayne State University)

Abstract

Time-to-build completion rates can be estimated individually, under the restrictions that they are positive values summing up to one. As an alternative strategy, we may use the beta distribution as a restriction and calculate the corresponding completion rates collectively. The estimation results of a time-to-build model indicate that imposing the beta distribution may successfully preclude unrealistic completion pattern and improve fit of the model to data.

Suggested Citation

  • Yong-gook Jung, 2013. "A new strategy to estimate time-to-build completion rates," Economics Bulletin, AccessEcon, vol. 33(2), pages 1073-1081.
    • Handle: RePEc:ebl:ecbull:eb-12-00857
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    File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I2-P101.pdf
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    References listed on IDEAS

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    1. Casares, Miguel, 2006. "Time-to-build, monetary shocks, and aggregate fluctuations," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1161-1176, September.
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    7. Rochelle M. Edge, 2000. "Time-to-build, time-to-plan, habit-persistence, and the liquidity effect," International Finance Discussion Papers 673, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Jung, Yong-Gook, 2013. "An inference about the length of the time-to-build period," Economic Modelling, Elsevier, vol. 33(C), pages 42-54.

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    Keywords

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    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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