Spline smoothing for estimating hedonic housing price models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9157, Issue , 2015, Pages 210-219

  Del Giudice, Vincenzo ^a   Manganelli, Benedetto ^b   De Paola, Pierfrancesco ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF BASILICATA   (Italy)

Author keywords

Additive models; Penalized spline; Property investment; Real estate valuation; Semiparametric regression

Indexed keywords

COMMERCE; COSTS; HOUSING;

ADDITIVE MODELS; PENALIZED SPLINES; PROPERTY INVESTMENTS; REAL ESTATE VALUATIONS; SEMI-PARAMETRIC REGRESSIONS;

INVESTMENTS;

EID: 84944455630     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-21470-2_15     Document Type: Conference Paper

References (30)

1. Morano, P., Tajani, F.: Bare ownership evaluation. Hedonic price model vs. artificial neural network. International Journal of Business Intelligence and Data Mining 8(4), 340–362 (2014)
2. Manganelli, B., Pontrandolfi, P., Azzato, A., Murgante, B.: Using geographically weighted regression for housing market segmentation. International Journal of Business Intelligence and Data Mining 9(2), 161–177 (2014)
3. Friedman, J.H., Stuetzle, W.: Projection pursuit regression. Journal of the American Statistical Association 76, 817–823 (1981)
4. Ruppert, D., Wand, M.P., Carroll, R.J.: Semiparametris regressions. Cambridge University Press (2003)
5. Hastie, T., Tibshirani, R.: Generalized Additive Models. Chapman & Hall, New York (1990)
6. Whittaker, E.T.: On a new method of graduation. Proceedings of the Edinburgh Mathematical Society 41, 63–75 (1923)
7. Engle, R.F., Granger, C.W.J., Rice, J., Weiss, A.: Semiparametric estimates of the relation between weather and electricity sales. Journal of the American Statistical Association 81, 310–320 (1986)
8. Koenker, R., Ng, P.T., Portnoy, S.: Quantile smoothing splines. Biometrika 81(4), 673–680 (1994)
9. Craig, S.G., Ng, P.T.: Using quantile smoothing splines to identify employment subcenters in a multicentric urban area. Journal of Urban Economics 49(1), 100–120 (2001)
10. Anderson, J.E.: Cubic-spline urban density functions. Journal of Urban Economics 12(2), 155–167 (1982)
11. Anderson, J.E.: The changing structure of a city: temporal changes in cubic spline urban density patterns. Journal of Regional Science 25(3), 413–426 (1985)
12. Sunderman, M.A., Birch, J.W., Cannaday, R.E., Hamilton, T.W.: Testing for vertical inequity in property tax systems. Journal of Real Estate Research 5(3), 319–334 (1990)
13. Speyrer, J.F., Ragas, W.R.: Housing prices and flood risk: an examination using spline regression. Journal of Real Estate Finance and Economics 4(4), 395–407 (1991)
14. Zheng, X.P.: Metropolitan spatial structure and its determinants: a case study of Tokyo. Urban Studies 28(1), 87–104 (1991)
15. Coulson, N.E.: Semiparametric estimates of marginal price of floorspace. Journal of Real Estate Finance and Economics 5(1), 73–83 (1992)
16. Bao, H., Wan, A.: On the use of spline smoothing in estimating hedonic housing price models: empirical evidence using Hong Kong data. Real Estate Economics 32(3), 487–507 (2004)
17. Parise, H., Wand, M.P., Ruppert, D., Ryan, L.: Incorporation of historical controls using semiparametric mixed models. Applied Statistics 50(1), 31–42 (2001)
18. Coull, B.A., Ruppert, D., Wand, M.P.: Simple incorporation of interactions into additive models. Biometrics 57(2), 539–545 (2001)
19. Coull, B.A., Schwartz, J., Wand, M.P.: Respiratory health and air pollution: additive mixed model analyses. Biostatistics 2, 337–349 (2001)
20. Zheng, H., Little, R.J.A.: Penalized spline nonparametric mixed models for inference about a finite population mean from two-stage samples. Survey Methodology 30, 209–218 (2004)
21. Opsomer, J.D., Claeskens, G., Ranalli, M.G., Kauermann, G., Breidt, F.J.: Nonparametric small area estimation using penalized spline regression. Journal of the Royal Statistical Society, Series B 70(1), 265–286 (2008)
22. Montanari, G.E., Ranalli, M.G.: A mixed model-assisted regression estimator that uses variables employed at the design stage. Statistical methods and applications 15(2), 139–149 (2006)
23. Bin, O.: A prediction comparison of housing sales prices by parametric versus semiparametric regressions. Journal of Housing Economics 13(1), 68–84 (2004)
24. Clapp, J.: A semiparametric method for estimating local house price indices. Real Estate Economics 32(1), 127–160 (2004)
25. Gencay, R., Yang, X.: A forecast comparison of residential housing prices by parametric versus semi-parametric conditional mean estimators. Economics Letters 52(2), 129–135 (1996)
26. Pace, K.: Appraisal using generalized additive models. Journal of Real Estate Research 15(1), 77–99 (1998)
27. Del Giudice, V., De Paola, P.: Geoadditive Models for Property Market. Applied Mechanics and Materials 584–586, 2505–2509 (2014)
28. Del Giudice, V., De Paola, P.: Undivided real estate shares: appraisal and interactions with capital markets. Applied Mechanics and Materials 584–586, 2522–2527 (2014)
29. Wand, M.P.: Smoothing and mixed models. Computational Statistics 18, 223–249 (2003)
30. Morano, P., Tajani, F.: Least median of squares regression and minimum volume ellipsoid estimator for outliers detection in housing appraisal. International Journal of Business Intelligence and Data Mining 9(2), 91–111 (2014)