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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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