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2017 | OriginalPaper | Buchkapitel

A Brief Outline of AVM Models and Standards Evolutions

verfasst von : Maurizio d’Amato

Erschienen in: Advances in Automated Valuation Modeling

Verlag: Springer International Publishing

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Abstract

The paper is a brief outline of the methodological evolution of Automated Valuation Modelling along the time. A further outlook is dedicated to the evolution of standards on Automated Valuation Methodology. Both the profiles may be useful to understand the increasing role of Automated Valuation Methodologies and the growth of their importance especially for the stability of the economic and social system and how they changed over the time.

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Literatur
Adair, A., & McGreal, S. (1988). The application of multiple regression analysis in property valuation. Journal of Property Valuation and Investment, 6, 57–67.
Adair, A. S., Berry, J. N., & McGreal, S. W. (1996). Hedonic modelling, housing submarkets and residential valuation. Journal of Property Research, 13(1), 67–83.CrossRef
Ambrose, B. (1990). An analysis of the factors affecting light industrial property valuation. Journal of Real Estate Research, 5, 355–370.
Anselin, L. (1988). Spatial econometrics: Methods and models. Dordrecht: Kluwer Academic Publishers.CrossRefMATH
Anselin, L., & Rey, S. (1991). Properties of tests for spatial dependence in linear regression models. Geographical Analysis, 23(2), 112–131.CrossRef
Appraisal Institute. (2006). Advisory Opinion 18 Use of an automated valuation method. Chicago, IL.
Ball, M. J. (1973). Recent empirical work on determinants of relative house prices. Urban Studies, 10, 213–223.
Beach, C. M., & MacKinnon, J. G. (1978). A maximum likelihood procedure for regression with autocorrelatederrors. Econometrica, 46, January, 51–58.
Benjamin, J. D., Guttery, R. S., & Sirmans, C. F. (2004). Mass appraisal: An introduction to multiple regression analysis for real estate valuation. Journal of Real Estate Practice and Education, 7, 65–77.
Berry, B. J., & Bednarz, R. S. (1975). A hedonic model of prices and assessments for single-family homes: Does the assessor follow the market or the market follow the assessor? Land Economics, 51(1), 21–40.CrossRef
Biłozor, A., Renigier-Biłozor, M. (2016) The procedure of assessing usefulness of the land in the process of optimal investment location for multi-family housing function. World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium. WMCAUS 2016 Praga.
Borst, R. A. (1992). Artificial neural networks: The next modelling/calibration technology for the assessment community. Artificial Neural Networks, 1992, P64–P94.
Borst, R. (2015) Improving mass appraisal valuation models using spatio temporal methods, International Property Tax Institute.
Borst, R. A., & McCluskey W. J. (2007)  Comparative evaluation of the comparable sales method with geostatistical valuation models. Pacifc Rim Property Research Journal 13(1), 106–129.
Borst, R. A., & McCluskey, W. J. (2008). The modified comparable sales method as the basis for a property tax valuations system and its relationship and comparison to spatially autoregressive valuation models Chapter 3. In Kauko, T & d’Amato, M. (eds) Mass Appraisal Methods. An international perspectives for property valuers, Wiley Blackwell, London
Borst, R. A., & McCluskey, W. J. (2008b). Using geographically weighted regression to detect housing submarkets: Modeling large-scale spatial variations in value. Journal of Property Tax Assessment and Administration, 5(1), 21–51.
Can, A. (1990). The measurement of neighborhood dynamics in urban house prices. Economic Geography, 66, 254–272.CrossRef
Can, A. (1992). Specification and estimation of hedonic housing price models. Regional Science and Urban Economics, 22, 453–474.CrossRef
Cannaday, R. E. (1989). How should you estimate and provide market support for adjustments in single family appraisals. Real Estate Appraiser and Analyst, 55(4), 43–54.
Case, B., Clapp, J., Dubin, R., & Rodriguez, M. (2004). Modeling spatial and temporal house price patterns: A comparison of four models. Journal of Real Estate Finance and Economics, 29(2), 167–191.CrossRef
Casetti, E. (1972). Generating models by the expansion method: Applications to geographic research. Geographical Analysis, 4, 81–91.CrossRef
Cassel, E., & Mendelson, R. (1985). The choice of functional forms for hedonic price equations: Comment. Journal of Urban Economics, 18, 135–142.CrossRef
Ciuna, M. (2010). L’Allocation method per la stima delle aree edificabili. AESTIMUM, 57, 171–184.
Ciuna, M. (2011). The valuation error in the compound values. AESTIMUM [S.l.], pp. 569–583, Aug. 2013. ISSN:1724-2118.
Ciuna, M., Salvo F., & Simonotti M. (2015a). Appraisal Value and Assessed Value in Italy. International journal of economics and statistics. Pages: 24–31. ISSN: 2309-0685.
Ciuna, M., & Simonotti, M. (2014). Real estate surfaces appraisal. AESTIMUM 64. Giugno, 2014, 1–13.
Ciuna, M., Salvo, F., & Simonotti, M. (2014a). The expertise in the real estate appraisal in Italy. Recent advances in civil engineering and mechanics. In Proceedings of the 5th European Conference of Civil Engineering (ECCIE ‘14) (pp. 120–129). Florence, Italy. November 22–24, 2014. North Atlantic University Union. Series: Mathematics and Computers in Science and Engineering Series, 36. ISBN:978-960-474-403-9. ISSN:2227-4.
Ciuna, M., Salvo, F., & De Ruggiero, M. (2014b). Property prices index numbers and derived indices. Property management (Vol. 32. Issue. 2, pp. 139–153). doi:(Permanent URL):10.​1108/​PM-03-2013-0021.
Ciuna, M., Salvo, F., & Simonotti, M. (2014c). Multilevel methodology approach for the construction of real estate monthly index numbers. Journal of Real Estate Literature: 2014, 22(2), 281–302.
Ciuna M., Salvo F., Simonotti M. (2015b). Compensation appraisal processes for the realization of hydraulic works in an agricultural area. In Proceedings of XLIV INCONTRO DI STUDI Ce.S.E.T. Il danno. Elementi giuridici, urbanistici e economico-estimativi. Bologna, Italy, (pp. 69–82). November 27–28, 2014. ISBN:978-88-99459-21-5.
Ciuna, M., Salvo, F., & Simonotti, M. (2015c). Parametric measurement of partial damage in building. In Proceedings of XLIV INCONTRO DI STUDI Ce.S.E.T. Il danno. Elementi giuridici, urbanistici e economico-estimativi (pp. 171–188). Bologna, Italy. November 27–28, 2014. ISBN:978-88-99459-21-5.
Clapp, J. M. (2003). A semiparametric method for valuing residential locations: Application to automated valuation. The Journal of Real Estate Finance and Economics, 27(Nov. 2003), 303–320.
Colwell, P. F., Cannady R. E., & Wu C. (1983). The analytical foundations of adjutment grid methods. Journal of the American Real Estate and Urban Economics Association, 11, 11–29.
d’Amato, M. (2002). Appraising property with rough set theory. Journal of Property Investment and Finance, 20(4), 406–418.
d’Amato, M. (2004). A comparison between RST and MRA for mass appraisal purposes. A Case in Bari, International Journal of Strategic Property Management, 8, 205–217.
d’Amato, M. (2010). A location value response surface model for mass appraising: An “iterative” location adjustment factor in Bari, Italy. International Journal of Strategic Property Management, 14, 231–244.
d’Amato, M. (2013). Man Vs. Machine, Appraisal Buzz, August 13.
d’Amato, M. (2015). Income approach and property market cycle. International Journal of Strategic Property Management, 29(3), 207–219.
d’Amato, M., & Kauko, T. (2012). Sustainability and risk premium estimation in property valuation and assessment of worth. Building Research and Information, 40(2), 174–185 (March–April 2012).
Des Rosiers, F., & Thériault, M. (1999) House prices and spatial dependence: Towards an integrated procedure to model neighborhood dynamics, Working Papers, Laval—Faculte des sciences de administration.
Dubin, R. A. (1998). Predicting house prices using multiple listings data. Journal of Real Estate Finance and Economics, 17(1), 35–59.MathSciNetCrossRef
Eckert, j. (Ed.) (1990). Property appraisal and assessment administration. International Association of Assessing Officers, Chicago, IL.
Eckert, j., O’Connor, P., & Chamberlain, C. (1993). Computer-Assisted real estate appraisal: A california savings and loan case study. The Appraisal Journal, 524–532.
Eichenbaum, J. (1989). Incorporating location into computer-assisted valuation. Property TaxJournal, 8(2), 151–169.
Eichenbaum, J. (1995). The location variable in world class cities: Lessons from cama valuation in New York city. Journal of Property Tax Assessment and Administration, 1(3), 46–60.
Farber, S., & Yeates, M. (2006). A comparison of localized regression models in a hedonic house price context. Canadian Journal of Regional Science, 29(3), 405–420.
Federal Reserve Second Monetary Policy Report for 2008. (2008). Hearing before the Committee on Banking, Housing and Urban Affairs United States Senate One Hundred Tenth Congress Second Session on Oversight on the Monetary Policy Report to Congress Pursuant to the Full Employment and Balanced Growth Act of 1978.
Fischer, D. (2003). Multi-criteria analysis of ranking preferences on residential traits. In 10th ERES Conference, Helsinki, Finland, 10–13 June.
Fitch. (2007). Criteria for automated valuation models in the UK, 22nd May
Fitch. (2008). Criteria for automated valuation models in EMEA RMBS; Addendum criteria for automated valuation models in EMEA RMBS, 20th November
Fitch. (2011). Criteria for automated valuation models in EMEA RMBS; Automated valuation models in EMEA RMBS, Special Report, 12th August   
Fletcher, M., Gallimore, P., & Mangan, J. (2000). Heteroscedasticity in hedonic house price models. Journalof Property Research, 17, 93–108. CrossRef
Francke, M. (2008). The hierarchical trend model. In Kauko, T., & d’Amato, M. (eds) Mass appraisal an international perspective for property valuers. Wiley Blackwell, London.
Gallimore, P., Fletcher, M., & Carter, M. (1996). Modelling the influence of location on value. Journal of Property Valuation and Investment, 14(1).
Gat D. (1996). A compact hedonic model of the greater tel aviv housing market. 4(2) 162–172.
Gonzalez. M. A. S., Soiberman, L., & Formoso, C.T. (2002). Explaining results in a neural-mass appraisal model. In 9th European Real Estate Society Conference (ERES).
Goodman, A. C., & Thibodeau, T. G. (1998). Housing market segmentation. Journal of Housing Economics, 7, 121–143.CrossRef
Griliches, Z. (1971). Hedonic prices indexes revisited, in prices indexes and quality change, federal reserve board, Massachuttes, pp. 3–15.
Harvey J. (1996). Urban land economics: The economics of real property markets, London, Macmillan.
Hoesli, M., Giacotto, C., & Favarger, P. (1997a). Three new real estate price for geneva. Switzerland Journal of Real Estate Finance and Economics, 15(1), 93–109.
Hoesli, M., Thion, B., & Watkins, C. (1997b). A hedonic investigation of the rental value of apartments in central bordeaux. Journal of Property Research,14, 15–26.
Home Valuation Code of Conduct. (2008). Chapter I Appraisal Indipendence Safeguards.
IAAO. (2003). Automatic valuation Standards.
Kaklauskas, A., Zavadskas, E. K., Kazokaitis, P., Bivainis, J., Galiniene, B., d’Amato, M., et al. (2012). Crisis Management Model and Recommended System for Construction and Real Estate. In R. Katarzyniak & G.-S. Jo (Eds.), Ngoc Thanh Nguyen, Bogdan Trawi´nski (pp. 333–343). Advanced Methods for Computational Collective Intelligence in Studies in Computational Intelligence Series edited by Janusz Kacprzyk: Springer Verlag Berlin.
Kang, H.-B., & Reichert, A. (1991). An empirical analysis of hedonic regression and grid-adjustment techniques in real estate appraisal. AREUEA Journal, 19(1), 70–91.
Kauko, J. T. (2002). Modelling the locational determinants of house prices: Neural network and value tree approaches. Utrecht, The Netherland: Labor Graphimedia.
Kauko, T., & d’Amato, M. (2011). Neighbourhood effect, International encyclopedia of housing and home, Edited by Elsevier Publisher.
Leishman, C. (2009). Spatial change and the structure of urban housing sub-markets. Housing Studies, 24(5), 563–585.CrossRef
Lentz, G. H., & Wang, K. (1998). Residential appraisal and the lending process: A survey of issues. Journal of Real Estate Research, 15, 11–39.
Malpezzi, S. (2003). Hedonic pricing models: A selective and applied review. In T. O’Sullivan & K. Gibb (Eds.), Housing Economics and Public Policy (pp. 67–89). Oxford: Blackwell.
Mark, J., & Goldberg, M. (1988). Multiple regression analysis and mass assessment: A review of the issues. Appraisal Journal, 56, 89–109.
McCluskey, W., Deddis, W., McBurney, R. D., Mannis, A., & Borst, R. (1997). Interactive application of computer assisted mass appraisal and geographic information systems. Journal of Property Valuation and Investment, 15, 448–465.
McCluskey W.J., & Anand, S. (1999). The application of intelligent hybrid techniques for the mass appraisal of residential properties. Journal of Property Investment and Finance, 17(3), 218–238.
McCluskey W.J., Deddis, W.G., Lamont, I., & Borst R.A. (2000). The Application of surface generate interpolate models for the prediction of residential property values. Journal of Property Investment and Finance, 18(2), 162–176.
Miller, N.G. (1982). Residential property hedonic price models: A Review. In Sirmans C.F. (ed), Urban Housing Markets and Property Valuation. Research in Real Estate, Vol. 2, (pp. 31–56).                        Jai Press Inc. Greenwich, CT.
Mok H.M.K., Chan K.P.P., & Yin-Sun Cho. (1995). A hedonic price model for private properties in hong kong. Journal of Real Estate Finance and Economics, 10(1), 37–48.
Moody’s. (2008). Moody’s approach to automated valuation models in rating UK RMBS, 21st August
Nguyen, N., & Cripps, Al. (2001). Predicting housing value: A comparison of multiple regression analysis and artificial neural network. Journal of Real Estate Research, 22(3).                                                                                                                                               
O’Connor, P. (1982). Locational valuation derived directly from the real estate market with the assistance of response surface techniques. Lincoln Institute of Land Policy.                                                                                                                                               
Orford, S. (1999). Valuing the built environment: GIS and house price analysis. Aldershot: Ashgate.                                                                                                           
Pace, R.K., & Gilley O.W. (1998). Generalizing the OLS and grid estimators. Real Estate Economics, 26(2), 331–347.
Quintos, C. (2013). Spatial weight matrices and their use as baseline values and location—adjustment factors in property assessment models. Cityscape, 15(3), 295–306.
Renigier-Biłozor, M., & Biłozor, A. (2016). Proximity and propinquity of residential market area—Polish and Italian case study. In 16th International Multidisciplinary Scientific GeoConferences SGEM. Bułgaria. (web of science).
Renigier-Biłozor, M., & Biłozor, A. (2016). The use of geoinformation in the process of shaping a safe space. In 16th International Multidisciplinary Scientific GeoConferences SGEM Bułgaria.
Renigier-Biłozor, M., Wiśniewski, R., Biłozor, A., Kaklauskas, A. (2014). Rating methodology for real estate markets—Poland case study. Pub. International Journal of Strategic Property Management, 18(2), 198–212. ISNN:1648-715X.
Renigier-Biłozor, M., Dawidowicz, A., & Radzewicz, A. (2014b). An algorithm for the purposes of determining the real estate markets efficiency in Land Administration System. Public Survey Review, 46(336), 189–204.CrossRef
RICS. (2012). Comparable Evidence in Property Valuation. RICS Information Paper.
RICS. (2013). Automated valuation models (1st Ed.), RICS Information Paper.
Robson, G., & Downie, M. L. (2009). Integrating valuation models with valuation services to meet the need of borrowers lenders and valuers, findings in built and rural environments, November, (pp. 3–10).
Robinson, R. (1979). Housing economy and public policy. London, MacMillan.
Rosen S. (1974). Hedonic prices and implicit markets: Product differentiation in pure competition. The Journal of Political Economy, 82, 34–55.
Salvo, F., & De Ruggiero, M. (2011). Misure di similarità negli adjustment grid methods. AESTIMUM, 58, 47–58, ISSN:1592-6117.
Salvo, F., & De Ruggiero, M. (2013). Market comparison approach between tradition and innovation. A simplifying approach. AESTIMUM, 62, 585–594, ISSN:1592-6117.
Salvo, F., Ciuna, M., & d’Amato, M. (2013a). Appraising building area’s index numbers using repeat values model. A case study in Paternò (CT). In Dynamics of land values and agricultural policies (pp. 63–71), Bologna: Medimond International Proceedings, Editografica. ISBN:978-88-7587-690-6, Palermo, 22–23/11/2012.
Salvo, F., Ciuna, M., & d’Amato, M. (2013b). The appraisal smoothing in the real estate indices. In (a cura di): Maria Crescimanno, Leonardo Casini and Antonino Galati, Dynamisc of land values agricultural policies (pp. 99–111), Bologna: Medimond Monduzzi Editore International Proceeding Division. ISBN:978-88-7587-690-6, Palermo, 22–23/11/2012.
Salvo, F., De Ruggiero, M., Ciuna, M. (2014). Property prices index numbers and derived indices. Property Management, 32, 139–153. ISSN:0263-7472, doi:10.​1108/​PM-03-2013-0021.
Salvo, F., De Ruggiero, M., & Zupi, M. (2015). The valorization of public real estate. A first outcome of the experiences in progress and a methodological proposal. In XLIII INCONTRO DI STUDI Ce.S.E.T. Sviluppo economico e nuovi rapporti tra agricoltura, territorio e ambiente (Vol. 67, pp. 135–146). AESTIMUM, FIRENZE: Firenze University Press, ISSN:1592-6117, Verona, 21/23 November 2013.
Salvo, F., Ciuna, M., & Simonotti, M. (2015). Compensation appraisal processes for completion of hydraulic works in an agricultural area. In (a cura di) Alessandra Castellini Lucia Devenuto, Proceedings of XLIV INCONTRO DI STUDI Ce.S.E.T. Il danno. Elementi giuridici, urbanistici e economico-estimativi (pp. 69–82), Mantova: Universitas Studiorum S.r.l., Bologna, 27/28 November 2014.
Salvo, F., Simonotti, M., & Ciuna, M. (2015). Multilevel methodology approach for the construction of real estate monthly index numbers. Journal of Real Estate Literature, 22, 281–302. ISSN:0927-7544.
Silverherz, J. D. (1936). The assessment of real property in the United States. Albany: J.B. Lyon Co. Printers.
Simonotti, M., Salvo, F., & Ciuna, M. (2015). Appraisal value and assessed value in Italy. International Journal of Economics and Statistics, 3, 24–31. ISSN:2309-0685.
Standard and Poor’s (2004). Guidelines for the use of automated valuation models for U.K. RMBS transactions,  20th February.
Standard and Poor’s (2005). Guidelines for the use of automated valuation models for U.K. RMBS transactions, 26th September.
Ward, R. D., Guilford, J., Jones, B., Pratt, D., & German, J. C. (2002). Piecing together location: Three studies by the Lucas County research and development staff. Assessment Journal, 9(5), 15–48.
Wilhelmsson, M. (2002). Spatial models in real estate economics. Housing Theory and Society, 19, 92–101.
Worzala, E., Lenk, M., & Silva, A. (1995). An exploration of neural networks and its application to real estate valuation. The Journal of Real Estate Research, 10(2), 185–201.
Metadaten
Titel
A Brief Outline of AVM Models and Standards Evolutions
verfasst von
Maurizio d’Amato
Copyright-Jahr
2017
Buch
Advances in Automated Valuation Modeling

Print ISBN: 978-3-319-49744-0

Electronic ISBN: 978-3-319-49746-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-49746-4_1

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