von Graevenitz K. and T. E. Panduro (2015) An Alternative to the Standard Spatial Econometric Approaches in Hedonic house price models, Land Economics, 91(2), 386-409.
Zhang, L. and T. Leonard (2014). Neighborhood impact of foreclosure: a quantile regressionapproach, Regional Science and Urban Economics. 48, 133–143.
Zhang, L. (2016), Food hazard impact on neighborhood house prices: a spatial quantile regression analysis, Regional Science and Urban Economics, 60, 12-19.
Yu, DL (2006), Spatially varying development mechanisms in the Greater Beijing area: a geographically weighted regression investigation. Annals of Regional Science, 40(1), 173-190.
Wu, N., S. Zhao and Z. Zuo (2013), A study of the impacts of inner-city and inter-city Accessibility on house price: Eastern asia society for transportation studies., Proceedings of the Eastern Asia Society for Transportation Studies, 9, 1-19.
Wood, S. N. and N. H. Augustin (2002), GAMs with integrated model selection using penalized regression splines and applications to environmental modelling. Ecological Modelling, 157 (2-3), 157-177
Wood, S. N. (2006), Low-Rank scale-invariant tensor product smooths for generalized additive mixed, Biometrics, 62(4), 1025-1036.
Wihlak, M., J. Waszczulk and K. Olszewski (2017), Spatial and hedonic analysis of house price dynamics in Warsaw, Poland, Journal of Urban Planning and Development, 143(3),
Valente, J., S. Wu, A, Gelfand and C.F. Sirmans (2005), Apartment rent prediction using spatial modeling, Journal of Real Estate Approach, 27(1), 105-136.
Su, L. and Z. Yang. (2007), Instrumental variable quantile estimation of Spatial Autoregressive Models, Working Paper 05-2007, Singapore Management University.
Su, L. and Z. Yang (2011), Instrument Variable Qunatile Estimation of Spatial Autoregressive Models, Working Paper, Singapore Management University.
Straszheim, M. (1974), Hedonic estimation of housing market prices: a further comment, Review of Economic Statistics, 56(3), 404-406.
Sirmans, G.C., D.A. Macpherson and E.N. Zietz (2005), The composition of hedonic pricing models, Journal of Real Estate Literature, 13(1), 3-43.
Shabman, L. and M.K. Bertelson (1979), The use of development value estimates for costal wetland permit decisions, Land Economics, 54(2), 213-222.
Sarah, N. and Crompton, J. (2005), The impact of green ways on property values: Evidence from Austin, Texas, Journal of Leisure Research, 37(3), 321-341.
Saphores, J.D. and W. Li (2012), Estimating the value of urban green areas: a hedonic pricing analysis of the single family housing market in Los Angeles, CA, Landscape and Urban Planning, 104(3), 373-387.
Rutherford, R.C. T.M. Springer and A. Yavas (2001), The impact of contract type on broker performance: submarket effects, Journal of Real Estate Research, 26(3), 277-298.
Rosen, S. (1974), Hedonic markets and implicit prices: product differentiation and pure competition, Journal of Political Economy, 82, 34-55.
Pompe, J.J. and J.R. Rinehart (1995), Beach quality and the enhancement of recreational property values, Journal of Leisure Research, 27(2), 143-154.
Pompe, J.J. (2008), The effect of a gated community on property and beach amenity valuation, Land Economics, 84(3), 423-433.
Pompe, J. J. and J.R. Rinehart (1999), Establishing fees for beach protection: paying for a public good, Costal Management, 27, 57-67.
Patton, M. and S. McErlean (2003), Spatial effects within the agricultural land market in Northern Ireland, Journal of Agricultural Economics, 54 (1), 35-54.
Ozlap, A.Y. and H. Akinnct (2017), The use of hedonic pricing method to determine the parameters affecting residential real estate prices, Arabian Journal of Geosciences , 10(535), 1-13.
Osland, L. (2010), An application of spatial econometrics in relation to hedonic house price modeling, Journal of Real Estate Research, 32 (3), 289-320.
Nesheim, L. (2002) Equilibrium Sorting of Heterogeneous Consumers across Locations: Theory and Empirical Implications, Working Paper No. CWP08/02, Centre for Microdata Methods and Practice.
Montero, J.M., R. Minguez and G. Fernandez-Aviles (2017), Housing prices prediction: parametric versus semi-parametric spatial hedonic models, Journal of Geographic Systems, 20(1), 27-55.
Montero J. M., R. Minguez and M. Durban (2012), SAR models with nonparametric spatial trends. A P-spline approach. Estadistica Espanola, 54 (177), 89-111.
Montero J. M., G. Fernandez-Aviles and J. Mateu (2015), Spatial and spatia-temporal geostatistical modeling and kriging. Wiley, Chichester
Montero J. M., G. Femandez-Aviles and R. Minguez (2011), Spatial hedonic pricing models for testing the adequacy of acoustic areas in Madrid, Spain. Journal of Regional Research, 21, I57-181.
Montero J. M. and B. Larraz (20ll), Interpolation methods for geographical data : housing and commercial establishment markets, Journal of Real Estate Research, 33 (2), 233-244.
Minguez R., J. M. Montero and G. Fermindez-Aviles (2013) Measuring the impact of pollution on property prices in Madrid: objective versus subjective pollution indicators in spatial models, Journal of Geographic Systems, 15(2), 169-191.
Ming, Y.S. and C.C. Hian (2005), Obstruction of view and its impact on residential apartment prices, Pacific Rim Property Research Journal, 11(3), 299-315.
Milon, J.W., J. Gressel and D. Mulkey (1984), Hedonic amenity valuation and functional form specification, Land Economics, 60(4), 378-387.
McMillen, D.P. (2012), Perspectives on spatial econometrics: linear smoothing with structured models, Journal of Regional Science, 52, 192-209.
McMillen, D.P. (2010), Issues in spatial data analysis, Journal of Regional Science, 50, 119-141.
McMillen, D. P. (2003), Spatial autocorrelation or model misspecification?, International Regional Science Review, 26, 208-217.
McDonald J. (1997), Fundamentals of urban economics. Prentice Hall , Upper Saddle River.
Mark J. and M. Goldberg (1988), Multiple regression analysis and mass assessment: a review of the issues, Appraisal Journal, 56 (1), 89-109. 17(1), 5-13.
Malpezzi, S. L. Ozanne and T. Thibodeau (1980), Characteristic Prices of Housing in Fifty-nine Metropolitan Areas, Urban Institute, Washington, D.C.
Malpezzi, S. (2003) Hedonic pricing models: A selective and applied review, in Housing Economics and Public Policy: Essays in Honor of Duncan Mactennan, T.O. Sullivan and K. Gibbs (Eds.), Blackwell.
Maddison, D. (2004), Spatial effects within the agricultural land market in Northern Ireland: a comment, Journal of Agricultural Economics, 55 (1), 123-125.
Lutzenheiser, P. and N.R. Notusil (2001), The effect of open spaces on a home's sale price, Contemporary Economic Policy, 19(3), 291-298.
Lu, B., M. Charlton and A. S. Fotheringham (2014), Geographically weighted regression with a non-Euclidean distance metric; a case study using hedonic house price data, International Journal of Geographical Information Science, 28 (4), 660-681.
Liao, W. and X. Wang (2012), Hedonic house prices and spatial quantile regression, Journal of Housing Economics, 21, 16-27.
Lee, S. (2004), Endogeneity in quantile regression models: a control function approach, CEMMAP Working Paper CWP08/04, Institute for Fiscal Studies.
Lee, L. F. (2007), GMM and 2SLS estimation of mixed regressive, spatial autoregressive models, Journal of Econometrics, 137, 489-514.
Lee, L. F. (2003), Best spatial two-stage least squares estimators for a spatial autoregressive model with autoregressive disturbances, Econometric Reviews, 22, 307-335.
Lee, L. F. (2002), Consistency and efficiency of least squares estimation for mixed regressive, spatial autoregressive models, Econometric Theory, 18, 252-277.
LeSage, J. P., R. K. Pace, N. Lam, R., Campanella and X. Liu (2011), New Orleans business recovery in the aftermath of Hurricane Katrina. Journal of Royal Statistical Society. Series: A 174, 1007–1027.
LeSage, J. P. and R. K. Pace, (2009) Introduction to Spatial Econometrics, CRC Press/Taylor & Francis Group.
Lancaster, K. J. (1966), A new approach to consumer theory, Journal of Political Economy, 74 (2), 132-157.
Kuntza M. and M. Helbichab (2014), Geostatistical mapping of real estate prices: An empirical comparison of kriging and cokriging, International Geographical Information Science, 28 (9), 1904-1921.
Kuethe, T. H. and R. Keeney (2012), Environmental externalities and residential property values: externalized costs along the house price distribution, Land Economics. 88 (2), 241–250.
Kostov, P.(2009), A spatial quantile regression hedonic model of agricultural land prices, Spatial Economic Analysis, 4(1), 53-72.
Kong, F., H. Yin and N. Nakagoshia (2007), "Using GIS and landscape metrics in the hedonic price modeling of the amenity value of urban green space: a case study in Jinan City, China, Landscape and Urban Planning, 79, 240-252.
Koenker, R. (2005), Quantile regression. econometric society monographs, No. 38. Cam-bridge University Press, Cambridge and New York.
Kim, T. H. and C. Muller (2004), Two-stage quantile regression when the first stage is based on quantile regression, Econometrics Journal, 7, 218-231.
Kim, S. W. and R. B. Acharya (2009), Regional hosing prices in the USA: An empirical investigation of non-linearity, Journal of Real Estate Finance and Economics, 38, 443-460.
Kim, H, S.W. Park, S. Lee and X. Xue (2015), Determinants of house prices in Seoul : a quantile regression approach, Pacific Rim Property Research Journal, 91-113.
Kim, C. W., T. T. Phipps and L. Anselin (2003), Measuring the benefits of air quality improvement: A spatial hedonic approach, Journal of Environmental Economics Management, 45, 24–39.
Kemp, K. (2008), Encyclopedia of Geographic Information Service, Sage.
Kelejian, H. H. and I. R. Prucha (1999), A generalized moments estimator for the autoregressive parameter in a spatial model, International Economic Review, 40, 509-533.
Keleijian, H. H. and I. R. Prucha (1998), A genealized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances, Journal of Real Estate Finance and Economics, 17 (1), 99-121.
Jud, D., T.G. Seaks and D.T. Winkler (1996), Time on the market: the impact of residential brokerage, Journal of Real Estate Research, 12(2), 447-458.
Johnson, K.H., S.P. Salter, L.V. Zumpano and R.I. Anderson (2001), The effect on residential housing prices and marketing time, Journal of Real Estate Research, 22(3), 289-312
Jim, C.Y. and W.Y. Chen (2009), Value of scenic views: hedonic assessment of private housing in Hong Kong, Landscape and Urban Planning, 91, 226-234.
Jim, C.Y. and W.Y. Chen (2007), Consumption preferences and environmental externalities : a hedonic analysis of the housing market in Guangzhou, Geoforum, 38, 414-431.
Jim, C.Y. and W.Y. Chen (2006), Impacts of urban environmental elements on residential housing prices in Guangzhou (China), Landscape and Urban Planning, 78, 422-434.
Jahanshiri E,T, T. Buyong and ARM Shariff (2011), A review of mass valuation models, Pertanika Journal of Science and Technology, 19 (S), 23-30
Hyun, D and S. Milcheva (2018), Spatial dependence in apartment transaction prices during boom and bust, Regional Science and Urban Economics, 68, 36-45.
Hui, E.C.M., C.K. Chau, L. Pun and M.Y. Law (2007), Measuring the neighboring and environmental effects on residential property value: using spatial weighting matrix, Building and Environment, 42, 2333-2343.
Helbich M., W. Brunauer, J. Hagenauer and M. Leitner (2013a), Data-driven regionalization of housing markets, Annals of the Association of American Geographers, 103(4), 871-889.
Helbich M., W. Brunauer, E. Vaz and P. Nijkamp (2013b), Spatial heterogeneity in hedonic house price models : The case of Austria, Tinbergen Institute Discussion Paper, Tinbergen Institute, Rotterdam.
Heather, A.S. and P. Stephen (2009), The value of views and open space: estimates from a hedonic pricing model for Ramsey County, Minnesota, USA, Land Use Policy, 26, 837-845.
Hahn, S., T. Kim and M. Kim (2012), The influence of school quality on housing prices in Korea, Applied Economics, 44, 1021-1023.
Haag, R. R., and T. Thomson (2000). Real estate agent remarks: help or hype?, Journal of Real Estate Research, 20(1-2), 205-215.
Griliches, Z. (1958), Research costs and social returns: hybrid corn and related innovations, Journal of Political Economy, 66, 419
Goodman, J. L. J. (1993), A housing market matching model of the seasonality in geographicmobility. Journal of Real Estate Research. 8 (1), 117-137.
Goodman, A. C. and T. G. Thibodeau (2003), Housing market segmentation and hedonic prediction accuracy, Journal of Housing Economics, 12, 181-201.
Geniaux, G. and D. Martinetti (2018), A new method for dealing simultaneously with spatial autocorrelation and spatial heterogeneity in regression models, Regional Science and Urban Economics, forthcoming.
Fotheringham, A. S., M. E. Charlton and C. Brunsdon (1997), Two techniques for exploring non-stationarity in geographical data, Geographical Systems, 4, 59-82.
Fotheringham, A. S., C, Brundson. and M. E. Charlton (2002) Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Chichester, Wiley.
Forgey, F.A., R.C. Rutherford and T.M. Springer (1996), Search and liquidity in single‐family housing, Real Estate Economics, 24(3), 273-292.
Follain, J.R. and J. Malpezzi (1980), Dissecting housing value and rent, Washington D.C.: The Urban Institute.
Fletcher, M. P. Gallimore and J. Mangan (2000), Heteroscedasticity in hedonic house price models, Journal of Property Research, 17 (2), 93-108.
Fleming, D., A. Grimes, L. Lebreton, D. Mare and P. Nunns (2018), Valuing sunshine, Regional Science and Urban Economics, 68, 268-276.
Fischer, M and P. Stumpner (2010), Income distribution dynamics and cross-region convergence in Europe. in Handbook of Applied Spatial Analysis, 4, 599-628, Springer, Berlin, Heidelberg and New York.
Fik, T.J., D.C. Ling and G.F. Mulligan (2003), Modelling spatial variation in housing prices: a variable interaction approach, Real Estate Economics, 31(4), 623-646.
Femandez-Aviles G., R. Minguez and JM Montero (2012), Geostatistical air pollution indexes in spatial hedonic models: the case of Madrid, Spain. Real Estate Research, 34(2), 243-274.
Fack, G. and J. Grenet (2011), When do better schools raise housing prices? evidence from paris public and private schools, Journal of Public Economics, 94, 59-77.
Ekeland I., J. Heckman and L. Nesheim (2004), Identification and estimation of hedonic models, Journal of Political Economy, 112(S1), 60-109.
Ebru, A. and A. Eban (2011), Determinants of house prices in Istanbul: A quantile regression approach, Quality and Quantity. 45(2), 305–317.
Dubin, R.A. (1988), Estimation of regression coefficients in the presence of spatially autocorrelated error terms, Review of Econometrics and Statistics, 70(3), 466-474.
Dubin R. A. (1998), Predicting house prices using multiple listings data. Real Estate Finance and Economics, 17(1), 35-59.
Damigos, D. and F. Anyfantis (2011), The value of view through the eyes of real estate experts: a fuzzy delphi approach, Journal of elsevier Landscape and Urban Planning, 101, 171-178.
Cressie N. (1993) Statistics for spatial data. Wiley, New York.
Conroy, S., A. Narwold and J. Sandy (2013), The value of a floor: valuing -floor level in high-rise condominiums in San Diego, International Journal of Housing Markets and Analysis, 6(2), 197-208.
Chou, Y-H,(1997), Exploring spatial analysis in geographic information systems, SantaFe: Onword Press.
Chernozhukov, V. and C. Hansen (2006), Instrumental quantile regression inference for structural and treatment effect models, Journal of Econometrics, 127, 491-525.
Chen, Z. and K.E. Haynes (2015), Impact of high speed rail on housing values and observation from the Beijing-Shanghai Line, Journal of Transport Geography, 43, 91-100.
Chen, L. and S. Portnoy (1996) Two-stage regression quantiles and two-stage trimmed least squares estimators for structural equation models, Communications in Statistics, Theory and Methods. 25, 1005-1032.
Cebula R. J. (2009), The hedonic pricing model applied to the housing market of the city of Savannah and its Savannah historic landmark district, Review of Regional Studies, 39 (1), 9-22.
Case, B., J. Clapp, R. Dubin and M. Rodriguez (2004), Modeling spatial and temporal house price patterns: a comparison of four models, Journal of Real Estate Finance and Economics 29(2), 167-191.
Can, A. and I. Megbolugbe (1997), Spatial dependence and house price index construction, Journal of Real Estate Finance and Economics, 14(1/2), 203-222.
Brasington D. M. and D. Hite (2005), Demand for environmental quality: A spatial hedonic analysis. Regional Science and Urban Economics, 35 (1), 57-82.
Bourassa, S. C., E. Cantoni and M. Hoesli (2010), Predicting house prices with spatial dependence: A comparison of alternative method, Journal of Real Estate Research, 32, 139-159.
Bourassa S. C., F. Hamelink, M. Hoesli and B. MacGregor (1999) Defining housing sub-markets. Housing Economics, 8(2), 160— 183.
Bolizer, B. and N.R. Netusil (2000), The impact of open spaces on property values in Portland, Oregon, Journal of Environmental Management, 59, 185-193.
Bischoff, O and W. Maennig (2011) Rental housing market segmentation in Germany according to ownership. Journal of Property Research 28 (2), 133-149.
Bin, O., T.W. Crawford, J.B. Kruse and C.E. Landry (2008), Viewscapes and flood hazard: costal housing market response to amenities and risk, Land Economics, 84(3), 434-448.
Bin, O., J.B. Kruse and C.E. Landry (2008), Flood hazards, insurance rates, and amenities: evidence from the coastal housing market, Journal of Risk and Insurance, 75 (1), 63– 82.
Bayer, P. R. McMillan, K. Rueben (2004), An equilibrium model of sorting in an urban housing market, NBER Working Paper, 10865.
Baumont, C. (2009), Spatial effects of urban public policies on housing values, Papers in Regional Science, 88(2), 301-326.
Basu, S. and T.G. Thibodeau (1998), Analysis of spatial autocorrelation in house prices, Journal of Real Estate Finance and Economics, 35, 61-85.
Basile, R. and B. Gress. (2005), Semi-parametric spatial auto-covariance models of regional growth behaviour in Europe, Re gion et De veloppement, 21, 93-118.
Basile R., M. Durban, R. Minguez, J.M. Montero and J. Mur (2014), Modelling regional economic dynamics, Journal of Economic Dynamics and Control, 48, 229-245.
Anselin, L., I. Syabri and Y. Kho (2004), GeoDa: an introduction to spatial data analysis. Geographical Analysis, 38(1), 5-22.
Anselin, L. and N. Lozano-Gracia (2008), Errors in variables and spatial effects in hedonic house price models of ambient air quality. Empirical Economy, 34(1), 5-34
Anselin, L. and J. L. Gallo (2006), Interpolation of air quality measures in hedonic house price models: spatial aspects, Spatial Economic Analysis, 1(1), 31-52.
Anselin, L. and A.K Bera (1998), Spatial dependence in linear regression models with an introduction to spatial econometrics. In: Ullah, A., Giles, D.E.A. (Eds.), Statistics: Textbooksand Monographs 155. Dekker, New York; Basel and Hong Kong.
Anselin, L. (2003). Spatial externalities, spatial multipliers, and spatial econometrics. International regional science review, 26(2), 153-166.
Anselin, L. (1988), Spatial econometrics: methods and models. Kluwer, Boston.
Anglin, P., R. Rutherford and T.M. Springer (2003), The trade-off between the selling price of residential properties and time-on-the-market: the impact of price setting, Journal of Real Estate Finance and Economics, 26(1), 95–111
Allen, C. G. and T. Thibodeau (2003), Housing market segmentation and hedonic prediction accuracy, Journal of Housing Economics, 12(3), 181-201
'
아파트가격의공간적분위수회귀분석 = A spatial Quantile Regression Analysis of Apartment Price'
의 유사주제(
) 논문