Journal of the Korean Housing Association ISSN:2234-3571(Print) 2234-2257(Online) 한국주거학회논문집

Choi, M. S., & Byeon, S. I. (2016). Comparison on forecasting performance of housing price prediction models in Seoul. Seoul Studies, 17(3), 75-89.

Choi, M. J., & Kim, H. J. (2017). Effects of aircraft noise and building height restriction on multi-family housing prices -from a viewpoint of consumption and investment demand of housing-. Journal of Korea Planning Association, 52(3), 201-213.

Court, A. T. (1939). In The Dynamics of Automobile Demand (pp. 98-119). New York: General Motors corporation.

Ha, Y. J., Bae, S. Y., & Lee, S. Y. (2018). Effects of high-speed rail operation on apartment price in Dongtan new city. GRI review, 20(3), 19-38.

Hong, H. Y., & Lee, J. H. (2015). A time series and spatial analysis of factors affecting housing prices in Seoul. Seoul Studies, 16(2), 87-108.

Im, J. H., & Hong, S. H. (2015). The effects of educational attainments on apartment prices: a case study of Seoul. Journal of Korea Real Estate Analysis Association, 21(1), 75-89.

Jin, E. A., Kim, D. Y., & Jin, J. I. (2016). The effects of mixed land use on housing price-focused on the apartment and general housing prices. Journal of Korea Planning Association, 51(4), 77-92.

Kang, H. M., & Jang, H. S. (2017). A study on the price adjustment role of real estate realtors in real estate price formation process. Korea Real Estate Academy Review, 70(0), 95-107.

Kim, K. K. (2003). Detecting spatial autocorrelation and using spatial regression. Korean Journal of Policy Analysis and Evaluation, 13(1), 273-294.

Kim, D. H., Kang, K. Y., & Sohn, S. Y. (2016). Spatial pattern analysis of CO2 emission in Seoul metropolitan city based on a geographically weighted regression. Journal of the Korean Institute of Industrial Engineers. 42(2), 96-111.

Korea Appraisal Board (2020). Retrieved from http://www.rtech.co.kr

Lee, B. R., & Park, S. G. (2012). An analysis of the influence of apartment brand on the price formation. Seoul: Korea Research Institute for Construction Policy.

Lee, J. M., & Kim, J. Y. (2016). Empirical analysis on impact of ground level subway station on neighboring apartment price using multi-level regression model. Journal of Korea Planning Association, 50(2), 157-171.

Lee, K., & Choi, G. H. (2016). A study on the determinants of housing price using the hedonic price model. Proceedings of Semiannual Conference of Korean Urban Management Association, Vol. 21, No. 2 (pp. 317-333), Seoul, Korea.

Lee, Y. M. (2008). A review of the hedonic price model. Journal of the Korea Real Estate Analysis Association, 14(1), 81-87.

Nam, H. G., & Seo, W. S. (2017). Analyzing time series value change of apartment characteristics based on reconstruction expectation. Journal of Korea Planning Association, 52(5), 199-211.

Nam, H. G., & Seo, W. S. (2017). Estimating values of subway accessibility by apartment tenure type using the geographically weighted regression model. Seoul Studies, 18(2), 65-79.

Oh, Y. K., & Kim, S. K. (2017). A study on the affecting factors on the apartment purchase price in Busan. Journal of The Residential Environment Institute of Korea, 15(3), 134-145.

Park, W. S., & Rhim, B. J. (2010). A study on the factors affection apartment price by using hedonic price model. Journal of the Korea Real Estate Society, 28(2), 245-271.

Rosen, S. (1974). Hedonic price and implicit market: Product differentiation in pure competition. Journal of Political Economy, 82(1), 34-55.

Song, M. G. (2014). The fluctuation of housing characteristics’ influence on apartment price according to the passage of time. Korea Real Estate Academy Review, 59(1), 124-138.

Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(2), 234-240.

Yang, S. C. (2014). A study on the single-family house price determinants analyzed by quantile regression: In case of locating single family houses in Seoul. Journal of the Korean Geographical Society, 49(5), 690-704.