Using machine learning to identify spatial market segments. A reproducible study of major Spanish markets
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DOI: 10.1177/23998083231166952
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- Füss, Roland & Koller, Jan A., 2016.
"The role of spatial and temporal structure for residential rent predictions,"
International Journal of Forecasting, Elsevier, vol. 32(4), pages 1352-1368.
- Fuess, Roland & Koller, Jan, 2015. "The Role of Spatial and Temporal Structure for Residential Rent Predictions," Working Papers on Finance 1523, University of St. Gallen, School of Finance.
- von Graevenitz, Kathrine, 2018.
"The amenity cost of road noise,"
Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 1-22.
- von Graevenitz, Kathrine, 2016. "The amenity cost of road noise," ZEW Discussion Papers 16-087, ZEW - Leibniz Centre for European Economic Research.
- Nowak, Adam & Sayago-Gomez, Juan, 2018.
"Homeowner preferences after September 11th, a microdata approach,"
Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 330-351.
- Adam Nowak & Juan Sayago-Gomez, 2017. "Homeowner Preferences after September 11th, a Microdata Approach," Working Papers 17-03, Department of Economics, West Virginia University.
- Adam Nowak & Juan Sayago-Gomez, 2017. "Homeowner Preferences after September 11th, a Microdata Approach," Working Papers 17-17, Department of Economics, West Virginia University.
- Michael C Knaus & Michael Lechner & Anthony Strittmatter, 2021.
"Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence,"
The Econometrics Journal, Royal Economic Society, vol. 24(1), pages 134-161.
- Knaus, Michael C. & Lechner, Michael & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," IZA Discussion Papers 12039, Institute of Labor Economics (IZA).
- Lechner, Michael & Knaus, Michael C. & Strittmatter, Anthony, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," CEPR Discussion Papers 13402, C.E.P.R. Discussion Papers.
- Knaus, Michael C. & Lechner, Michael & anthony.strittmatter@unisg.ch, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Economics Working Paper Series 1817, University of St. Gallen, School of Economics and Political Science.
- Michael C. Knaus & Michael Lechner & Anthony Strittmatter, 2018. "Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence," Papers 1810.13237, arXiv.org, revised Dec 2018.
- Fernando A. López & Coro Chasco & Julie Le Gallo, 2015.
"Exploring scan methods to test spatial structure with an application to housing prices in Madrid,"
Papers in Regional Science, Wiley Blackwell, vol. 94(2), pages 317-346, June.
- Fernando López & Coro Chasco & Julie Le Gallo, 2013. "Exploring scan methods to test spatial structure with an application to housing prices in Madrid," Post-Print hal-01869290, HAL.
- Stefan Wager & Susan Athey, 2018.
"Estimation and Inference of Heterogeneous Treatment Effects using Random Forests,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
- Wager, Stefan & Athey, Susan, 2017. "Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests," Research Papers 3576, Stanford University, Graduate School of Business.
- Brad R. Humphreys & Adam Nowak & Yang Zhou, 2019. "Superstition and real estate prices: transaction-level evidence from the US housing market," Applied Economics, Taylor & Francis Journals, vol. 51(26), pages 2818-2841, June.
- Chasco, Coro & Le Gallo, Julie & López, Fernando A., 2018.
"A scan test for spatial groupwise heteroscedasticity in cross-sectional models with an application on houses prices in Madrid,"
Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 226-238.
- Coro Chasco & Julie Le Gallo & Fernando López, 2018. "A scan test for spatial groupwise heteroscedasticity in cross-sectional models with an application on houses prices in Madrid," Post-Print hal-01868546, HAL.
- Antonio Páez, 2021. "Open spatial sciences: an introduction," Journal of Geographical Systems, Springer, vol. 23(4), pages 467-476, October.
- Pace, R Kelley & Barry, Ronald & Clapp, John M. & Rodriquez, Mauricio, 1998. "Spatiotemporal Autoregressive Models of Neighborhood Effects," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 15-33, July.
- Pace, R Kelley & Gilley, Otis W, 1997. "Using the Spatial Configuration of the Data to Improve Estimation," The Journal of Real Estate Finance and Economics, Springer, vol. 14(3), pages 333-340, May.
- José-María Montero-Lorenzo & Beatriz Larraz-Iribas & Antonio Páez, 2009. "Estimating commercial property prices: an application of cokriging with housing prices as ancillary information," Journal of Geographical Systems, Springer, vol. 11(4), pages 407-425, December.
- Antonio Páez, 2009. "Recent research in spatial real estate hedonic analysis," Journal of Geographical Systems, Springer, vol. 11(4), pages 311-316, December.
- José‐María Montero & Gema Fernández‐Avilés & Román Mínguez, 2018. "Estimating environment impacts on housing prices," Environmetrics, John Wiley & Sons, Ltd., vol. 29(5-6), August.
- David C. Wheeler & Antonio Páez & Jamie Spinney & Lance A. Waller, 2014. "A Bayesian approach to hedonic price analysis," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 663-683, August.
- Dani Arribas-Bel & Mark Green & Francisco Rowe & Alex Singleton, 2021. "Open data products-A framework for creating valuable analysis ready data," Journal of Geographical Systems, Springer, vol. 23(4), pages 497-514, October.
- Steven Bourassa & Eva Cantoni & Martin Hoesli, 2007. "Spatial Dependence, Housing Submarkets, and House Price Prediction," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 143-160, August.
- Usman Hamza & Lizam Mohd & Adekunle Muhammad Usman, 2020. "Property Price Modelling, Market Segmentation and Submarket Classifications: A Review," Real Estate Management and Valuation, Sciendo, vol. 28(3), pages 24-35, September.
- Thomas G. Thibodeau, 2003. "Marking Single-Family Property Values to Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(1), pages 1-22, March.
- Robert W. Paterson & Kevin J. Boyle, 2002. "Out of Sight, Out of Mind? Using GIS to Incorporate Visibility in Hedonic Property Value Models," Land Economics, University of Wisconsin Press, vol. 78(3), pages 417-425.
- Fernando A. López & Román Mínguez & Jesús Mur, 2020. "ML versus IV estimates of spatial SUR models: evidence from the case of Airbnb in Madrid urban area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 313-347, April.
- Hu, Lirong & He, Shenjing & Han, Zixuan & Xiao, He & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2019. "Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies," Land Use Policy, Elsevier, vol. 82(C), pages 657-673.
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Hedonic prices; market segments; decision trees; spatial econometrics; reproducible research;All these keywords.
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