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    Forecasting State-Level Construction Labor Earnings for Enhanced Project Cost Control: An Econometric and Deep-Learning Analysis of the Leading Economic Indicators

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 012::page 04025198-1
    Author:
    Shiha, Ahmed
    ,
    El-adaway, Islam H.
    DOI: 10.1061/JCEMD4.COENG-16650
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAs a major input to several work packages, the labor element constitutes a critical component for successful performance of construction projects. Localized labor shortages, fundamental changes in prevailing wage laws, and historical shifts in the ...
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      Forecasting State-Level Construction Labor Earnings for Enhanced Project Cost Control: An Econometric and Deep-Learning Analysis of the Leading Economic Indicators

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314731
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    contributor authorShiha, Ahmed
    contributor authorEl-adaway, Islam H.
    date accessioned2026-08-20T21:36:37Z
    date available2026-08-20T21:36:37Z
    date copyright2025/09/24
    date issued2025
    identifier otherJCEMD4.COENG-16650.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314731
    description abstractAbstractAs a major input to several work packages, the labor element constitutes a critical component for successful performance of construction projects. Localized labor shortages, fundamental changes in prevailing wage laws, and historical shifts in the ...
    publisherAmerican Society of Civil Engineers
    titleForecasting State-Level Construction Labor Earnings for Enhanced Project Cost Control: An Econometric and Deep-Learning Analysis of the Leading Economic Indicators
    typeJournal Article
    journal volume151
    journal issue12
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-16650
    journal fristpage04025198-1
    journal lastpage04025198-25
    page25
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 012
    contenttypeFulltext
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