• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.1
• /
• pp.39-51
• /
• 2023

This study uses the hedonic price approach to estimate the economic value of a parking lot in an apartment building. In this study, a logarithmic function was applied to estimate the price elasticity of parking spaces. Variables were composed of an independent variable (apartment house characteristics) and a dummy variable (external characteristics). Detailed variables include exclusive area, number of floors, waterproofing, number of bathrooms, and number of parking spaces per household. Based on the results of the analysis for the entire year, the increase in the number of parking spaces affects a price increase of approximately 25.97 million won to 59.68 million won, which can be interpreted as the economic value of the parking space. However, since Hanam City was specified in this study, there is a limit to generalizing the current results and using them for project evaluation.

• The Korean Journal of Applied Statistics
• /
• v.29 no.3
• /
• pp.463-470
• /
• 2016

In analysing a time series on the frequency domain, the spectral estimator (or periodogram) is a very useful statistic to identify the periods of a time series. However, the spectral estimator is very sensitive in nature to outliers, so that the spectral estimator in terms of M-estimation has been studied by some researchers. Pak (2001) proposed an empirical method to choose a tuning parameter for the Huber's M-estimating function. In this article, we try to implement Pak's estimation proposal in the spectral estimator. We use the Korean housing price index as an example data set for comparing various M-estimating results.

• Environmental and Resource Economics Review
• /
• v.29 no.3
• /
• pp.335-362
• /
• 2020

Using the Hedonic pricing model using Box-Cox transformation, this paper estimated the marginal effect (implicit price) of odors from landfill in the metropolitan area on housing prices and the willingness to pay for changes in certain odor conditions. This paper utilized the proximity from the landfill in the metropolitan area as a environmental variable, and analyzed the effect of various housing characteristic variables on the sale price of apartments within a radius of 5 km from the landfill. In particular, because odors factor have various heterogeneity, we applied hedonic price models instead of stated-preference methods with various types of functional forms through Box-Cox transformation, considering the heterogeneity of each region. Estimates show that the marginal value (implicit price) for the distance from the odor source was 0.227 to 0.533 depending on the function type of the estimated model. In addition, when other house factors are the same, the marginal willingness to pay for a distance of 1km from the odor source was calculated to be 16.79 to 51.76 thousand dollar depending on the type of function. Finally for the general Box-Cox model, the annual WTP was estimated to be 3,229dollar.

• Korea Real Estate Review
• /
• v.28 no.2
• /
• pp.21-34
• /
• 2018

The purpose of this study is to investigate the effect of macro-finance variables on the correlation between the housing and stock markets because understanding the nature of time-varying correlations between different assets has important implications on portfolio allocation and risk management. Thus, we adopted the AG-DCC GARCH model to obtain time-varying, conditional correlations. Our sample ranged from January 2004 to November 2017. Our empirical result showed that the coefficients on asymmetric correlation were significantly positive, implying that correlations between the housing and stock markets were significantly higher when changes in the housing price and stock returns were negative. This finding suggested that the housing market has less hedging potential during a stock market downturn, when such a hedging strategy might be necessary. Based on the regression analysis, we found that the term spread had a significantly negative effect on correlations, while the credit spread had a significantly positive effect. This result could be interpreted by the risk premium effect.

• Journal of the Economic Geographical Society of Korea
• /
• v.20 no.3
• /
• pp.405-418
• /
• 2017

SHIFT is public rental housing policy introduced by Seoul Metropolitan in 2007, which works as Chonsei(korean unique deposit rental system). This paper examines the effect of SHIFT on Chonsei prices of neighborhood apartments. To estimate the change in prices of Chonsei after the provision of SHIFT, I collect data on Chonsei prices of apartments within a 5km radius from the SHIFT housings. Summary of main results are following. Chonsei prices of the apartments within a 2-3km radius decreased by 4.4% after the provision of SHIFT housings. In contrast, when it comes to apartments within a 1-2km radius, I can't find the stochastic relationship between the provision of SHIFT hosing and price changes. This results can be explained by "Offset effects" caused by real estate development. Provision of SHIFT can sequentially induce nearby area's development, which plays a factor in the effect of price increases. And this offset effects varies in each apartment complex depending on demand for Chonsei and supply of the SHIFT.

• International Area Studies Review
• /
• v.13 no.2
• /
• pp.66-88
• /
• 2009

This paper studies optimal discretionary monetary policy in the presence of uncertainty in the housing sector. In particular, we allow two possible regimes regarding the evolution of housing price inflation and the effects of housing price inflation on the aggregate demand. Estimation results with the US data confirm the presence of two distinctive regimes, one 'normal' and the other more akin to the housing price 'bubble' state. The optimal policy is 'asymmetric' in that the optimal responses in the 'normal' regime require the central bank to lean against the wind to inflationary pressure from CPI and housing inflation, while the central bank is recommended to accommodate it in the other regime.

• KDI Journal of Economic Policy
• /
• v.30 no.2
• /
• pp.1-26
• /
• 2008

This paper attempts to re-evaluate the size of housing wealth effect in Korea. Our focus is on the size of 'genuine' housing wealth effect, i.e., the response of consumption spending by home-owners to the changes in housing wealth. Two issues show up while we estimate the 'genuine' wealth effects using aggregate time series data: the issues around home ownership and proper measure of consumption. We first argue that it is more appropriate to use non-housing consumption, because housing consumption is in large part not of the choice of home owners but the imputed rents they do not actually choose to pay. We then proceed to address the issue of home ownership, by examining how much to revise the estimates of housing wealth effect obtained from aggregate non-housing consumption data. We construct two structural models and estimate the share of home-owners' consumption in those models' context. It is found that, if properly revised in light of the estimated consumption shares of home-owners, the magnitude of resulting housing wealth effects are larger than what simple time series regressions imply.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2006.04a
• /
• pp.506-512
• /
• 2006

다양한 아파트 특성들을 이용하여 아파트 가격을 추정하고 예측하는 연구 또한 많이 존재하고 있는 실정이다. 그렇지만 이러한 연구들 대부분이 회귀모형에 지나치게 의존하고 있는 실정이다 그러나 회귀모형은 단점보다 장점이 많은 모형이다. 본 연구는 회귀모형을 부정하기보다는 새로운 모형을 도입하여, 회귀모형의 문제점들을 극복하고 회귀모형과 상호보완적인 모형을 도입할 필요성에 의해서 본 연구를 수행한 것이다. 다양한 아파트 특성들에 대하여 신경망모형을 이용하여 아파트 가격을 예측하고, 기존의 회귀모형과 비교하는 것이 본 연구의 주목적이다 또한 회귀모형과 신경망모형의 상호 보완적인 측면을 규명하는 것은 본 연구의 부차적인 목적이 된다 아파트 특성들은 주변에서 쉽게 이용 가능한 데이터를 위주로 하였다. 2004년 6월 기준으로 서울시 송파구와 도봉구의 아파트 매매가격들과 12개의 아파트 특성들을 수집하였다. 아파트 매매가격들 (즉, 매매 하한가, 일반 거래가, 매매 상한가) 을 새로운 측정방법을 이용하여 하나의 매매가격으로 추정하였으며, 대표성을 가지도록 하였다. 신경망모형을 도입하여 아파트 특성들을 이용하여 아파트 가격을 정밀하고 유효하게 예측하고, 기존의 회귀모형들과 비교하는 것은 아파트 가격에 대한 연구 분야에 큰 의미가 있다 하겠다. 그리고 주택에 관한 기존의 연구와 신규 연구에 신경망모형이 활용될 수 있으리라 판단된다.

• The Journal of the Korea Contents Association
• /
• v.15 no.5
• /
• pp.488-497
• /
• 2015

The recent increase of chonsei has raised the degree of lease burden of households, and a new residential lease price index needs to be introduced to measure such degree of lease burden. In order to convert the burden into an index, the calculation method of the K-HAI, which is announced by the Korea Housing Financing Corporation, is applied by replacing house purchase with lease. From the calculation, the residential lease prices index of the first quarter of 2014 is estimated to be approximately 114, indicating that the cost of lease exceeds 35% of income. The result of analysis on the trend of the residential lease prices index from the first quarter of 2012 to the present in Seoul indicates that the residential lease prices index in Seoul has continued to increase, compared to that of the entire country. The results of this study will be a foundation to find a solution for the stabilization of chonsei and investigate the degree of lease burden by region when establishing a sustainable housing policy.

• Proceedings of the Safety Management and Science Conference
• /
• 2009.04a
• /
• pp.455-475
• /
• 2009

According to the returns of Housing and business cycle over the period 1992 to 2007, it is a measure of the total volatility faced by investors in Housing properties. First, it isn't a distinct difference from business cycle contrary to U.S. Second, the rise of purchase price in total apartments moves up the consumer price index. According to the cross-sectional dispersion of returns and growth in net operating income (NOI) of apartments, industrial, retail and office properties using panel data for U.S. metropolitan areas over the period 1986 to 2002, it is a measure of the total volatility faced by investors in commercial real estate. To the extent that most of that volatility is difficult to diversify, cross-sectional dispersion may be an appropriate measure of risk.