Dynamic decomposition of regional wage differentials in Korea |
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| Affiliation: | 1. Department of Urban Planning, Dankook University, 152, Jukjeon-ro, Suji-gu, Yongin-si, Gyeonggi-do 448-701, Republic of Korea;2. Department of Economics, Kyung Hee University, 1 Hoegidong, Dongdaemoongu, 130-701 Seoul, Republic of Korea;1. Department of Anaesthesiology, King George Medical University, UP, Lucknow, India;2. Department of Biochemistry, King George Medical University, UP, Lucknow, India;3. Department of Surgical Oncology, King George Medical University, UP, Lucknow, India;4. Department of Microbiology, King George Medical University, UP, Lucknow, India;1. Department of Oral and Maxillofacial Surgery, King George''s Medical University, Lucknow, India;2. Department of Biostatistics and Health Informatics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India;3. All India Institute of Medical Sciences, Bhopal, India;4. Indian Council of Medical Sciences, New Delhi, India;1. Department of Public Administration, West Virginia University, USA;2. Department of Political Science, West Virginia University, USA;1. Department of International Trade, Inha University, Inharo 100, Nam-gu, Incheon 402-751, Republic of Korea;2. Institute of Poyang Lake Eco-Economics & Institute of Eco-Civilization and Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China;3. Sustainability Management Research Institute, Inha University, Inharo 100, Incheon 402-751, Republic of Korea |
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| Abstract: | Using a Juhn–Murphy–Pierce (JMP) decomposition, this study analyses the dynamic changes in regional wage differentials between the Seoul Metropolitan Areas and other regions in South Korea. Data from the Korean Labor and Income Panel Study for three years (2000, 2004, and 2008) is used. JMP decomposition provides information about the components that explain changes in regional wage differentials over time. Between 2000 and 2004, the variations in observed and unobserved components are associated with counteracting effects on regional wage differentials. While changes in observed components contribute more to widen regional wage differentials, those in unobserved components narrow them. However, between 2004 and 2008, both observed and unobserved components move in the same direction to narrow regional wage differentials. Based on our empirical results, we discuss some policy implications. |
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| Keywords: | Regional wage differentials Dynamic decomposition Seoul Metropolitan Area South Korea |
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