Loading…

Construction Business Cycle Analysis Using the Regime Switching Model

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 R...

Full description

Saved in:
Bibliographic Details
Published in:Journal of management in engineering 2012-10, Vol.28 (4), p.362-371
Main Authors: Park, JaeHyun, Ham, SeungChul, Hong, TaeHoon
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0742-597X
1943-5479
DOI:10.1061/(ASCE)ME.1943-5479.0000107