There has been a long history of research into the development and estimation of hedonic house price models. There is, however, a discrepancy between the empirical and theoretical approaches to this research. A major issue lies in the integration of the conceptual and theoretical models of local housing markets with the context-insensitive nature of the standard hedonic model specification. This paper explores this inconsistency by using multilevel modelling to move towards a more empirically and conceptually appealing specification of the hedonic house price model. It uses price data from Cardiff to investigate how a multilevel approach can explicitly incorporate the spatial structures of housing market dynamics and the ad hoc nature of the valuation process. The paper concludes that successful empirical analysis depends upon a clear theoretical understanding of the processes under investigation.
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References
1.
Adair, A.S., Berry, J.N. and McGreal, W.S. (1996) Hedonic modelling, housing submarkets and residential valuation, Journal of Property Research, 13, pp. 67-83.
2.
Anselin, L. (1988) Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic.
3.
Basu, S. and Thibodeau, T.G. (1998) Analysis of spatial autocorrelation in house prices, Journal of Real Estate Finance andEconomics, 17, pp. 61-85.
4.
Can, A. ( 1990) The measurement of neighbourhood dynamics in urban house prices, Economic Geography, 66, pp. 254-272.
5.
Can, A. ( 1992) Specification and estimation of hedonic house price models , Regional Science and Urban Economics, 22, pp. 453-474.
6.
Can, A. and Megbolugbe, I. (1997) Spatial dependence and house price index construction , Journal of Estate Finance and Economics, 14, pp. 203-222.
7.
Case, K.E. and Mayer, C.J. (1996) Housing price dynamics within a metropolitan area , Regional Science and Urban Economics, 26, pp.387-407.
8.
Cassetti, E. (1972) Generating models by the expansion method: applications to geographical research, Geographical Analysis, 4, pp. 81-91.
9.
Cassetti, E. (1992) The dual expansion method: an application for evaluating the effect of population growth on development, in: E. Cassetti and J. P. Jones (Eds) Applications of the Expansion Method, pp. 10-41. London : Routledge.
10.
Cheshire, P. and Sheppard, S. (1998) Estimating the demand for housing, land, and neighbourhood characteristics, Oxford Bulletin of Economics and Statistics , 60, pp. 357-382.
11.
Fleming, M.C. and Nellis, J.G. (1985) Research policy and review 2. House price statistics for the United Kingdom: a survey and critical review of recent developments , Environment and Planning A, 17, pp. 297-318.
12.
Fleming, M.C. and Nellis, J.G. (1992) Development of standardised indices for measuring house price inflation incorporating physical and locational characteristics , Applied Economics, 24, pp. 1067-1085.
13.
Forrest, R., Murie, A. and Gordon, D. (1995) The Resale of Former Council Homes. London: HMSO.
14.
Foster, S.A. (1991) The expansion method: implications for geographical research, Professional Geographer, 43, pp. 131-142.
15.
Goldstein, H. (1987) Multi-level Models in Educational and Social Research . London: Charles Griffin.
16.
Goodman, A.C. (1981) Housing submarkets within urban areas: definitions and evidence, Journal of Regional Science, 21, pp. 175-185.
17.
Goodman, A.C. and Thibodeau, T.G. (1998) Housing market segmentation, Journal of Housing Economics, 7, pp. 121-143.
18.
Harrison, D.J. and Rubinfeld, D.L. (1978) Hedonic housing prices and the demand for clean air, Journal of Environmental Economics and Management, 5, pp. 81-102.
19.
Jones, K. (1991) Multi-level Models for Geographical Research. Norwich: Geo Books.
20.
Jones, K. and Bullen, N. (1993) A multilevel analysis of the variations in domestic property prices: southern England 1980-1987, Urban Studies , 30, pp. 1409-1426.
21.
Jones, K. and Bullen, N. (1994) Contextual models of urban house prices: a comparison of fixed- and random-coefficient models developed by expansion, Economic Geography, 70, pp. 252-272.
22.
Kennedy, P. (1985) A Guide to Econometrics, 2nd edn. Oxford: Basil Blackwell .
23.
Knox, P.L. (1995) Urban Social Geography: An Introduction. London: Routledge.
24.
Maclennan, D. (1982) Housing Economics: An Applied Approach. London: Longman.
25.
Maclennan, D. and Tu, Y. (1996) Economic perspectives on the structure of local housing systems, Housing Studies, 11, pp. 387-406.
26.
Mason, C. and Quigley, J.M. (1996) Non-parametric hedonic housing prices, Housing Studies, 11, pp. 373-385.
27.
Millington, A.F. (1990) An Introduction to Property Valuation. London: Estates Gazette.
28.
Nicol, C. (1996) Interpretation and compatibility of house price series, Environment and Planning A, 28, pp. 119-133.
29.
Orford, S. (1999) Valuing the Built Environment: GIS and House Price Analysis. Alder-shot: Ashgate.
30.
Pace, R.K. and Gilley, O.W. (1997) Using the spatial configuration of the data to improve estimation, Journal of Real Estate Finance andEconomics , 14, pp. 333-340.
31.
Rasbash, J. and Woodhouse, G. (1995) Mln Command Reference. Multilevel Models Project , Institute of Education, London .
32.
Rosen, S. (1974) Hedonic prices and implicit markets: Product differentiation in pure competitions, Journal of Political Economy, 72, pp. 34-55.
33.
Schnare, A. and Struyk, R.J. (1976) Segmentation in urban housing markets, Journal of Urban Economics, 3, pp. 146-166.
34.
Wilkinson, R.K. (1973) House prices and the measurement of externalities , Economic Journal, 83, pp. 72-86.
35.
Witte, A.Sumka, J. and Erckson, H. (1979) An estimation of a structural hedonic price model of the housing market: an application of Rosen's theory of implicit markets , Econometrica, 47, pp. 1151-1173.
36.
Woodhouse, G., Rasbash, J., Goldstein, H. and Yang, M. (1996) Introduction to multi-level modelling, in: G. Woodhouse (Ed.) Multi-level Modelling Applications: A Guide for Users of Mln, pp. 9-57. Institute of Education, University of London.
