The paper compares two methods to evaluate the effect of market fundamentals on housing price dynamics. The first method follows the traditional two-step procedures found in the literature in which one first estimates a house price index and then uses the estimated index in subsequent structural modelling. The second method applies a Kalman filter strategy that allows for the simultaneous estimation of the parameters of a dynamic hedonic price model, the price index and the parameters of a structural model for housing prices. Very similar empirical results are found for the two estimation strategies suggesting that the small efficiency gains of the simultaneous estimator may be outweighed by the relative ease of implementing the traditional methods. Using transaction-level data for dwellings in Paris over the period 1986-92, the paper finds evidence consistent with the hypothesis that economic fundamentals constrain movements in Parisian dwelling prices over longer-term horizons. Both procedures for estimating an error correction model of housing prices based on supply and demand fundamentals lead to the same conclusions, suggesting that the speed of adjustment in the Paris dwelling market was about 30 per cent per month over the period.
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References
1.
Abraham, J. and Hendershott, P. (1992) Patterns and determinants of metropolitan house prices, 1977 to 1991, in L. Brownie and E. Rosengren (Eds) Real Estate and the Credit Crunch, pp. 19-42. Boston, MA: Federal Reserve Bank of Boston Conference Series, No. 36.
2.
Bailey, M.J., Muth, R.F. and Nourse, H.O. (1963) A regression method for real estate price index construction, American Statistical Association Journal, 58, pp. 933-942.
3.
Banerjee, A., Dolado, J., Galbraith, J.W. and Hendry, D.F. (1993) Co-integration, Error-correction, and the Econometric Analysis of Non-stationary Data. New York: Oxford University Press.
4.
Bosvieux, J. and Le Laidier, S. (1994) The French housing account. Direction de l'habitat et de la construction, Ministere de l'equipement du logement et des transports , Paris.
5.
Campbell, J.Y. and Perron, P. (1991) Pitfalls and opportunities: what macroeconomists should know about unit roots. Technical Research Working Paper No. 100. National Bureau of Economic Research .
6.
Case, B., and Quigley, J. (1991) The dynamics of real estate prices, Review of Economics and Statistics, 73, pp. 50-58.
7.
Case, K. and Shiller, R. (1987) Prices of single family homes since 1970: new indexes for four cities, New England Economic Review, September/October, pp. 45-56.
8.
Case, K., and Shiller, R. (1989) The efficiency of the market for single family homes, American Economic Review, 79(1), pp. 125-137.
9.
Chow, G.C. and Lin, A. (1971) Best linear unbiased interpolation, distribution, and extrapolation of time series by related series, Review of Economics and Statistics, 53, pp. 372-375.
10.
Chow, G.C. and Lin, A. (1976) Best linear unbiased estimation of missing observations in a economic time series, American Statistical Association Journal, 71, pp. 719-721.
11.
Ciec (Centre D'Information Sur L'Epargne Et Le Credit) (1992) Numero special sur 1'immobilier. Bulletin Mensuelle (Paris).
12.
Clapp, J. and Giacotto, C. (1991) House price indices based on all transactions compared to repeat subsamples, American Real Estate and Urban Economics Association Journal, 19, pp. 270-285.
13.
Clapp, J. and Giacotto, C. (1992) Repeat sales methodology for price trend estimation: An evaluation of sample selectivity, Journal of Real Estate Finance andEconomics, 5, pp. 357-374.
14.
Clayton, J. (1996) Rational expectations, market fundamentals and housing price volatility, Real Estate Economics, 18, pp. 253-273.
15.
Cleveland, W.S. and Devlin, S.J. (1988) Locally weighted regression: an approach to regression analysis by local fitting, American Statistical Association Journal, 83, pp. 596-610.
16.
Cleveland, W.S., Devlin, S.J. and Grosse, I. (1988) Regression by local fitting: methods, properties and computational algorithms, Journal ofEconometrics, 37, pp. 87-114.
17.
Curci, G. (1989) Trente ans de locatif, in: Institut National De La Statistique Et Des Etudes Economiques (Ed.) Le Logement Aujourd'hui et Demain, pp. 147-166. Paris: INSEE.
18.
David, A., Dubujet, F., Gouriéroux, C. and Laferrère, A. (2002) Les indices de prix des logements anciens. INSEE Methode, No. 98, INSEE, Paris.
19.
Dickey, D.A. and Fuller, W.A. (1979) Distribution of the estimators for autoregressive time series with unit roots, American Statistical Association Journal, 74, pp. 427-431.
20.
Dipasquale, D. and Wheaton, W. (1994) Housing market dynamics and the future of housing prices, Journal of Urban Economics, 1, pp. 1-27.
21.
Dipasquale, D. and William, W. (1992) The markets for real estate assets and space: a conceptual framework, American Real Estate and Urban Economics Association Journal, Winter, pp.181-197.
22.
Dougherty, A. and Order, R. Van (1982) Inflation, housing costs and the consumer price index, American Economic Review, 72(1), pp. 154-164.
23.
Dubacq, P. (1993) Enquete sur les taux des credits au logement, Banque de France, Bulletin trimestriel, 87, 143-151.
24.
Engelhardt, G. and Poterba, J. (1991) House prices and demographic change, Regional Science and Urban Economics, 21(4), pp. 539-546
25.
Engle, R.F. and Granger, C.W.J. (1987) Co-integration and error correction: representation, estimation and testing, Econometrica, 55, pp.251-276.
26.
Engle, R.F., Hendry, D.F. and Richard, J.F. (1983) Exogeneity, Econometrica, 51, pp. 277-304.
27.
Englund, P. and Ioannides, Y. (1997) House price dynamics: an international perspective . Journal of Housing Economics, 6, pp. 119-136.
28.
Englund, P., Quigley, J. and Redfearn, C. (1998) Improved price indexes for real estate: measuring the course of Swedish housing prices, Journal of Urban Economics , 44, pp.171-196.
29.
Flood, R.P. and Garber, P.M. (1980) Market fundamentals versus price level bubbles: the first test, Journal of Political Economy, 88, pp.745-770.
30.
Follain, J. and Jimenez, E. (1985) Estimating the demand for housing characteristics: a survey and critique, Regional Science and Urban Economics , 15, pp. 77-107.
31.
Goetzmann, W. (1992) The accuracy of real estate indices: repeat sales estimators, Journal of Real Estate Finance andEconomics, 5, pp. 5-14.
32.
Goetzmann, W. and Spiegel, M. (1994) Non-temporal components of residential real estate appreciation, Journal of Real Estate Finance andEconomics , 77, pp. 199-206.
33.
Griliches, Z. (1971) Price Indices and Quality Change. Cambridge, MA: Harvard University Press.
34.
Halvorsen, R. and Pollakowski, H. (1981) Choice of functional form for hedonic price equations , Journal of Urban Economics, 10, pp. 37-49.
35.
Harvey, A.C. (1982) The Econometric Analysis of Time Series. New York: John Wiley & sons.
36.
Harvey, A.C. (1990) Forecasting Structural Time Series Models and the Kalman Filter. Cambridge: Cambridge University Press.
37.
Haurin, D.R. and Hendershott, P.H. (1991) House price indexes: issues and results, American Real Estate and Urban Economics Association Journal, 19(3), pp. 259-269.
38.
Institut National De La Statistique Et Des Etudes Economiques (1988-93) Bulletin Mensuelle de la Statistique . Paris: INSEE.
39.
Institut National De La Statistique Et Etudes Economiques (1991-92) Annuaire de la Statistique de la France. Paris: INSEE.
40.
Johansen, S. (1988) Statistical analysis of cointegration vectors, Journal of Economic Dynamics and Control, 12, pp. 231-255.
41.
Johansen, S. and Juselius, K. (1990) Maximum likelihood estimation and inference on cointegration - with applications to the demand for money, Oxford Bulletin of Economics and Statistics, 52, pp. 169-210.
42.
Kain, J. and Quigley, J. (1970) Measuring the value of housing quality, American Statistical Association Journal, 65, pp. 532-548.
43.
Kearl, J.R. (1979) Inflation, mortgages and housing, Journal of Political Economy, 87, 1115-1138.
44.
Lefebvre, B. and Mouillart, M. (1986) Logement et epargne de menages: le modele FANIE , Revue Economique, 3, pp. 521-570.
45.
Louvet, C. (1989) Le nombre de menages croit plus vite que la population , in: Institut National De La Statistique Et Des Etudes Économiques (Ed.) Le Logement Aujourd'hui et Demain, pp. 215-226. Paris: INSEE.
46.
Mankiew, N. and Weil, D. (1989) The baby boom, baby bust, and the housing market , Regional Science and Urban Economics, 19(2), pp. 235-258.
47.
Mayer, C. and Somerville, T. (2000) Residential construction: using the urban growth model to estimate housing supply, Journal of Urban Economics , 48(1), pp. 85-109.
48.
Meese, R. and Wallace, N. (1991) Nonparametric estimation of dynamic hedonic price models and the construction of residential housing price indices, American Real Estate and Urban Economics Association Journal, 19, pp. 308-332.
49.
Meese, R. and Wallace, N. (1994) Testing the present value relation for housing: should I leave my house in San Francisco, Journal of Urban Economics, 35, pp. 245-266.
50.
Meese, R. and Wallace, N. (1997) The construction of residential housing price indexes: a comparison of repeat sales, hedonic regression, and hybrid approaches, Journal of Real Estate Finance andEconomics, 14, pp. 51-74.
51.
Muellbauer, J. and Murphy, A. (1997) Booms and busts in the UK housing market, Economic Journal, 107, pp. 1701-1727.
52.
Nappi, I. (1993) Immobilier et bulle speculative: valeurs fondamentales et prix observes. Reflexions Immobilières, 4 pp. 27-31. L'institut de L'epargne Immobilier et Fonciere , Paris.
53.
Newey, N.K. and West, K.D. (1987) A simple, positive definite heteroskedasticity and autocorrelation consistent covariance matrix, Econometrica , 55, pp. 703-708.
54.
Organization For Economic Co-Operation And Development (1990) Economic Survey: France. Paris : OECD.
55.
Pace, R.K. (1993) Nonparametric methods with applications to hedonic models, Journal of Real Estate Finance andEconomics, 7, pp. 185-204.
56.
Pagan, A. (1984) Econometric issues in the analysis of regressions with generated regressors, International Economic Review, 25, pp.221-247.
57.
Palmquist, R.B. (1980) Alternative techniques for developing real estate price indexes, Review of Economics and Statistics, 66, pp.394-404.
58.
Palmquist, R.B. (1982) Measuring environmental effects on property values without hedonic regressions, Journal of Urban Economics, 11, pp.333-347.
59.
Perron, P. (1990a) Trends and random walks in macroeconomic time series: further evidence from a new approach, Journal of Economic Dynamics and Control, 12, pp. 297-333.
60.
Perron, P. (1990b) Testing for a unit root in a time series with a changing mean, Journal of Business and Economic Statistics , 8, pp. 153-162.
61.
Phillips, P.C.B. and Perron, P. (1988) Testing for a unit root in time series regression . Biometrika, 75, pp. 335-346.
62.
Poterba, J.M. (1984) Tax subsidies to owner-occupied housing: an asset-market approach, The Quarterly Journal of Economics, 99(4), pp.729-752.
63.
Poterba, J.M. (1991) House price dynamics: the role of tax policy and demographics, Brookings Papers on Economic Activity, 2, pp. 143-183.
64.
Quigley, J. (1995) A simple hybrid model for estimating real estate price indexes, Journal of Housing Economics, 4, pp. 1-12.
65.
Ranney, S. (1985) The future price of houses, mortgage market conditions, and the returns to homeownership, American Economic Review , 71, pp. 323-333.
66.
Riou, E. (1994) La fiscalité immobilier en France: bilan, critiqués et recommendations. Working paper. Groupe HEC. France.
67.
Rosen, S. (1974) Hedonic prices and Implicit markets: product differentiation in pure competition, Journal of Political Economy, 82(1), pp. 34-55.
68.
Taffin, C. (1989a) l'accession a tout prix, in: Institut National De La Statistique Et Des Etudes Economiques (Ed.) Le Logement Aujourd'hui et Demain, pp. 71-82. Paris : INSEE.
69.
Taffin, C. (1989b) La valeur du parc de logements: plus de 8000 milliards de francs, in: Institut National De La Statistique Et Des Etudes Economiques (Ed.) Le Logement Aujourd'hui et Demain, pp. 91-98. Paris: INSEE.
70.
Thibodeau, T. (Ed.) (1992) Residential Real Estate Prices: 1974-1983. Mount Pleasant, The Blackstone Company.
71.
Topel, R. and Rosen, S. (1988) Housing Investment in the United States, Journal of Political Economy, 96(4), pp. 718-740.
72.
Wallace, N. (1996) Hedonic-based price indexes for housing: theory, estimation and index construction, Economic Review of the San FranciscoFederal Reserve Bank, 3, pp. 34-48.
73.
Wang, F. and Zorn, P. (1997) Estimating house price growth with repeat sales data: what's the aim of the game?, Journal of Housing Economics , 6, pp. 93-118.
74.
West, K. (1987) A specification test for speculative bubbles, Quarterly Journal of Economics, 102, pp. 553-580.
75.
and an index for industrial production (see Table A4). The only statistically significant determinant of revenue per household is the Paris CPI. The index for industrial production and the wage index for manufacturing have no statistically significant effect on revenues per household. The annual level of household size was interpolated using monthly series on French population, French marriage rates and French birth rates. The results of the Cho-Lin interpolation are given in Table A5 and show that the most important determinant of the number of households is the French
76.
population and the marriage rate. The number of births does not have a statistically significant effect on the observed level of household formation. Ratios of employment to number of households are used because the French population variable is used to interpolate both series. In an effort to control for the effect of population on these two variables, the ratio of total employment to total number of households is used. The employment measure is thus the average number of employees per household.
