Human-Machine Synergy in Real Estate Similarity Concept
Author
Abstract
Suggested Citation
DOI: 10.2478/remav-2024-0010
Download full text from publisher
References listed on IDEAS
- Anna C. Belkina & Christopher O. Ciccolella & Rina Anno & Richard Halpert & Josef Spidlen & Jennifer E. Snyder-Cappione, 2019. "Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
- Jiayu Qiu & Bin Wang & Changjun Zhou, 2020. "Forecasting stock prices with long-short term memory neural network based on attention mechanism," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-15, January.
- Andrey D. Pavlov, 2000. "Space-Varying Regression Coefficients: A Semi-parametric Approach Applied to Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(2), pages 249-283.
- Eli Beracha & M. Babajide Wintoki, 2013. "Forecasting Residential Real Estate Price Changes from Online Search Activity," Journal of Real Estate Research, American Real Estate Society, vol. 35(3), pages 283-312.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Prashant Das & Alan Ziobrowski, 2015. "The Relationship between Indian Realty Stocks and Online Searches," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(1), pages 1-19, April.
- McMillen, Daniel P. & Smith, Stefani C., 2003. "The number of subcenters in large urban areas," Journal of Urban Economics, Elsevier, vol. 53(3), pages 321-338, May.
- José-María Montero & Román Mínguez & Gema Fernández-Avilés, 2018. "Housing price prediction: parametric versus semi-parametric spatial hedonic models," Journal of Geographical Systems, Springer, vol. 20(1), pages 27-55, January.
- McMillen, Daniel P., 2001. "Nonparametric Employment Subcenter Identification," Journal of Urban Economics, Elsevier, vol. 50(3), pages 448-473, November.
- Janusz Gajda & Rafał Walasek, 2020. "Fractional differentiation and its use in machine learning," Working Papers 2020-32, Faculty of Economic Sciences, University of Warsaw.
- Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2015.
"Tweets, Google trends, and sovereign spreads in the GIIPS,"
Oxford Economic Papers, Oxford University Press, vol. 67(2), pages 406-432.
- Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2013. "Tweets, Google Trends and Sovereign Spreads in the GIIPS," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 78, Hellenic Observatory, LSE.
- Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2014. "Tweets, Google Trends and Sovereign Spreads in the GIIPS," Discussion Paper Series 2014_04, Department of Economics, University of Macedonia, revised Jun 2014.
- Dergiades, Theologos & Milas, Costas & Panagiotidis, Theodore, 2013. "Tweets, Google trends and sovereign spreads in the GIIPS," LSE Research Online Documents on Economics 54405, London School of Economics and Political Science, LSE Library.
- Luis Otavio Reiff & Ana Luiza Barbosa, 2005. "Housing stock in Brazil: estimation based on a hedonic price model," BIS Papers chapters, in: Bank for International Settlements (ed.), Real estate indicators and financial stability, volume 21, pages 257-270, Bank for International Settlements.
- Akshita Singh & Shailendra Kumar & Utkarsh Goel & Amar Johri, 2023. "Behavioural biases in real estate investment: a literature review and future research agenda," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
- Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024. "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, vol. 177(C).
- Lianne Foti & Avis Devine, 2019. "High Involvement and Ethical Consumption: A Study of the Environmentally Certified Home Purchase Decision," Sustainability, MDPI, vol. 11(19), pages 1-11, September.
- Lorenzo Menculini & Andrea Marini & Massimiliano Proietti & Alberto Garinei & Alessio Bozza & Cecilia Moretti & Marcello Marconi, 2021. "Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices," Forecasting, MDPI, vol. 3(3), pages 1-19, September.
- repec:grz:wpaper:2014-05 is not listed on IDEAS
- Puhr, Harald & Müllner, Jakob, 2024. "Vox populi, vox dei: A concept and measure for grassroots socio-political risk using Google Trends," Journal of International Management, Elsevier, vol. 30(2).
- Prodosh Simlai, 2018. "Spatial Dependence, Idiosyncratic Risk, and the Valuation of Disaggregated Housing Data," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 192-230, August.
- Julie Le Gallo, 2004.
"Hétérogénéité spatiale : principes et méthodes,"
Économie et Prévision, Programme National Persée, vol. 162(1), pages 151-172.
- Julie Le Gallo, 2004. "Hétérogénéité spatiale. Principes et méthodes," Economie & Prévision, La Documentation Française, vol. 162(1), pages 151-172.
- Karl L. Guntermann & Crocker Liu & Adam Nowak, 2014. "Repeat Sales Methods for Growing Cities and Short Horizons," Working Papers 14-20, Department of Economics, West Virginia University.
- Camilo Acosta & Luis Baldomero-Quintana, 2024.
"Quality of communications infrastructure, local structural transformation, and inequality,"
Journal of Economic Geography, Oxford University Press, vol. 24(1), pages 117-144.
- Camilo Andrés Acosta Mejía, Luis Baldomero-Quintana, 2022. "Quality of Communications Infrastructure, Local Structural Transformation, and Inequality," Documentos de Trabajo de Valor Público 20506, Universidad EAFIT.
- Camilo Andrés Acosta Mejía, Luis Baldomero-Quintana, 2022. "Quality of Communications Infrastructure, Local Structural Transformation, and Inequality," Documentos de Trabajo de Valor Público 20505, Universidad EAFIT.
- Chris Leishman & Greg Costello & Steven Rowley & Craig Watkins, 2013. "The Predictive Performance of Multilevel Models of Housing Sub-markets: A Comparative Analysis," Urban Studies, Urban Studies Journal Limited, vol. 50(6), pages 1201-1220, May.
- Stig Vinther Møller & Thomas Pedersen & Erik Christian Montes Schütte & Allan Timmermann, 2024.
"Search and Predictability of Prices in the Housing Market,"
Management Science, INFORMS, vol. 70(1), pages 415-438, January.
- Timmermann, Allan & Møller, Stig & Pedersen, Thomas & Schütte, Erik Christian Montes, 2021. "Search and Predictability of Prices in the Housing Market," CEPR Discussion Papers 15875, C.E.P.R. Discussion Papers.
- Oestmann Marco & Bennöhr Lars, 2015.
"Determinants of house price dynamics. What can we learn from search engine data?,"
Review of Economics, De Gruyter, vol. 66(1), pages 99-127, April.
- Bennöhr, Lars & Oestmann, Marco, 2014. "Determinants of house price dynamics. What can we learn from search engine data?," Working Paper 153/2014, Helmut Schmidt University, Hamburg.
- Oestmann, Marco & Bennöhr, Lars, 2015. "Determinants of house price dynamics. What can we learn from search engine data?," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113198, Verein für Socialpolitik / German Economic Association.
- De Santis, Roberto A., 2020.
"Impact of the Asset Purchase Programme on euro area government bond yields using market news,"
Economic Modelling, Elsevier, vol. 86(C), pages 192-209.
- De Santis, Roberto A., 2016. "Impact of the asset purchase programme on euro area government bond yields using market news," Working Paper Series 1939, European Central Bank.
More about this item
Keywords
human-machine similarity analysis; real estate market; Property Cognitive Information System (PCIS); artificial intelligence; synergistic data processing;All these keywords.
JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
- D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
- R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:remava:v:32:y:2024:i:2:p:13-30:n:1002. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.