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Cross-regional connectedness in the Korean housing market

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  • Lee, Hahn Shik
  • Lee, Woo Suk

Abstract

This paper investigates the network topology of the Korean housing market using the connectedness methodology. The basic finding is that, among various combinations of regional housing markets, Seoul has been the most influential market in Korea. We also present evidence that other metropolitan cities affect only the neighboring regions. As for the results from the rolling-sample analysis, the net directional connectedness of Seoul appears to have declined over the sample period. Although Seoul still remains the center of the Korean housing market, neighboring regions have become increasingly more influential in affecting other regional markets. These findings suggest that the policy for balanced national development might have changed the transmission mechanisms in the Korean housing market.

Suggested Citation

  • Lee, Hahn Shik & Lee, Woo Suk, 2019. "Cross-regional connectedness in the Korean housing market," Journal of Housing Economics, Elsevier, vol. 46(C).
    • Handle: RePEc:eee:jhouse:v:46:y:2019:i:c:s1051137718300585
    DOI: 10.1016/j.jhe.2019.101654
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    Cited by:

    1. Leeyoung Kim & Wonseok Seo, 2021. "Micro-Analysis of Price Spillover Effect among Regional Housing Submarkets in Korea: Evidence from the Seoul Metropolitan Area," Land, MDPI, vol. 10(8), pages 1-21, August.
    2. Li, Qiang & Nong, Huifu, 2022. "A closer look at Chinese housing market: Measuring intra-city submarket connectedness in Shanghai and Guangzhou," China Economic Review, Elsevier, vol. 74(C).
    3. Chiang, Shu-hen & Chen, Chien-Fu, 2022. "From systematic to systemic risk among G7 members: Do the stock or real estate markets matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    4. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2021. "A regional decomposition of US housing prices and volume: market dynamics and Portfolio diversification," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 279-307, April.

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    More about this item

    Keywords

    Korean housing market; Balanced national development policy; Network connectedness; Variance decomposition;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

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