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The Impact of the Disclosure of Direct Transaction Information on Housing Sale Prices and Transaction Volume

Insik Min 1

1경희대학교

Accredited

ABSTRACT

This study aims to evaluate the impact of the disclosure of direct transaction information on the sale prices and transaction volume of apartment complexes in the Seoul Capital Area (Seoul, Gyeonggi, and Incheon). Actual housing transaction data provided by the Ministry of Land, Infrastructure, and Transport (MOLIT) are used in the empirical analysis. The disclosure of direct/brokerage transaction information began from November 2021. Two transaction periods are compared in the empirical regressions: before the disclosure of direct transactions (Jan. 2019 - Sep. 2021) and after the disclosure of direct transactions (Nov. 2021- Mar. 2023). After establishing panel data for each apartment complex, we estimate the panel autoregressive model with fixed effects. When comparing estimation results before and after disclosure, it is confirmed that the first-order autoregressive coefficient is significantly smaller after closure than before. This implies that the apartment sales market is transitioning towards efficiency following the disclosure of direct transactions, thereby helping reduce market volatility. According to the estimated panel fixed effects model, a direct transaction event at time t-1 has a short-run negative impact on the sales price at time t. Our empirical results are expected to explain the reduced price volatility observed in the housing market. Policy authorities try to improve information asymmetry in the real estate market, and through these efforts, the actual housing transaction system can contribute to rectifying housing market failures and inefficiencies

Citation status

* References for papers published after 2023 are currently being built.