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    Construction Business Cycle Analysis Using the Regime Switching Model

    Source: Journal of Management in Engineering:;2012:;Volume ( 028 ):;issue: 004
    Author:
    JaeHyun Park
    ,
    SeungChul Ham
    ,
    TaeHoon Hong
    DOI: 10.1061/(ASCE)ME.1943-5479.0000107
    Publisher: American Society of Civil Engineers
    Abstract: The construction industry is a key industry in many countries, usually making up to 5–10% of the overall gross domestic product (GDP). It is closely related to the financial and labor markets, depending on the characteristics of businesses in a given country. For example, the moratorium in Russia in 1998 and the subprime mortgage crisis in the U.S. in 2007 greatly influenced the financial markets of many countries, which consequently affected the construction market. The effect of such crises on the construction industry differs, however, depending on the size of the business cycle and the foundation of the financial market. Thus, this study analyzed the construction business cycle of three countries: the United States, the United Kingdom, and South Korea. The economies of these three countries have different characteristics. This study, which used the three-state Markov switching model, also used construction industry data for categorizing GDP by economic activity. Although the validation results of the U.S. construction industry were unsatisfactory because of the unprecedented long-term recession, results of the analysis showed that the proposed model could be used to determine the construction business cycle. The forecasting performance test also showed that the proposed model could be used to predict more than one quarter in advance, which was the interval in identifying the business cycle. Accordingly, it is believed that the proposed methodology can be used to determine and cope with each country’s business cycle.
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      Construction Business Cycle Analysis Using the Regime Switching Model

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    contributor authorJaeHyun Park
    contributor authorSeungChul Ham
    contributor authorTaeHoon Hong
    date accessioned2017-05-08T21:54:36Z
    date available2017-05-08T21:54:36Z
    date copyrightOctober 2012
    date issued2012
    identifier other%28asce%29me%2E1943-5479%2E0000139.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/66165
    description abstractThe construction industry is a key industry in many countries, usually making up to 5–10% of the overall gross domestic product (GDP). It is closely related to the financial and labor markets, depending on the characteristics of businesses in a given country. For example, the moratorium in Russia in 1998 and the subprime mortgage crisis in the U.S. in 2007 greatly influenced the financial markets of many countries, which consequently affected the construction market. The effect of such crises on the construction industry differs, however, depending on the size of the business cycle and the foundation of the financial market. Thus, this study analyzed the construction business cycle of three countries: the United States, the United Kingdom, and South Korea. The economies of these three countries have different characteristics. This study, which used the three-state Markov switching model, also used construction industry data for categorizing GDP by economic activity. Although the validation results of the U.S. construction industry were unsatisfactory because of the unprecedented long-term recession, results of the analysis showed that the proposed model could be used to determine the construction business cycle. The forecasting performance test also showed that the proposed model could be used to predict more than one quarter in advance, which was the interval in identifying the business cycle. Accordingly, it is believed that the proposed methodology can be used to determine and cope with each country’s business cycle.
    publisherAmerican Society of Civil Engineers
    titleConstruction Business Cycle Analysis Using the Regime Switching Model
    typeJournal Paper
    journal volume28
    journal issue4
    journal titleJournal of Management in Engineering
    identifier doi10.1061/(ASCE)ME.1943-5479.0000107
    treeJournal of Management in Engineering:;2012:;Volume ( 028 ):;issue: 004
    contenttypeFulltext
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