PLS path model building: A multivariate approach to land price studies-A case study in Beijing

Progress in Natural Science

Volumn 19, Issue 11, 2009, Pages 1643-1649

  Wu, Wenjie ^a,b   Zhang, Wenzhong ^a  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Beijing; GIS; Land; PLS path model

Indexed keywords

COSTS; HOUSING; LEAST SQUARES APPROXIMATIONS; STATISTICAL METHODS;

BEIJING; CASE-STUDIES; LAND; LAND PRICES; LATENT VARIABLE; MULTIVARIATE APPROACH; OBSERVATIONAL DATA; PARTIAL LEAST SQUARE PATH MODEL; PARTIAL LEAST-SQUARES; PATH MODELS;

GEOGRAPHIC INFORMATION SYSTEMS;

EID: 72449159109     PISSN: 10020071     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnsc.2009.04.016     Document Type: Article

References (21)

1. Wold H. Soft model by latent variables: the nonlinear iterative partial least squares approach. In: Perspectives in probability and statistics, papers in honour of M.S. Bartlett. London: Academic Press; 1975. p. 520-40.
2. Wold S, Ruhe H, Wold H, et al. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverse. SIAM J Sci Stat Comput 1984;5(3):735-43.
3. Wold H. Partial least squares. In: Encyclopedia of statistical sciences. vol. 6. New York: Wiley; 1985. p. 581-91.
4. Tenenhaus M. L'approche PLS. Rev Stat Appl 1999;47(2):5-40.
5. Veldkamp A, Fresco LO. Reconstructing land use drivers and their spatial scale dependence for Costa Rica (1973 and 1984). Agric Syst 1997;55(1):19-43.
6. Verburg PH, Chen YQ. Multiscale characterization of land-use patterns in China. Ecosystems 2000;3(4):369-85.
7. Bowes DR, Ihlanfeldt KR. Identifying the impacts of rail transit stations on residential property value. J Econ 2001;50(1):1-25.
8. Fehribach FA, Rutherford RC, Eakin ME. An analysis of the determinants of industrial property valuation. J Real Estate Res 1993;8(3):365-77.
9. Sirpal R. Empirical model of the relative impacts of various sizes of shopping centers on the value of surrounding residential properties. J Real Estate Res 1994;9(4):487-505.
10. Walden ML. Magnet schools and the differential impact of quality on residential property values. J Real Estate Res 1990;5(2):221-30.
11. Zheng SQ, Kahn ME. Land and residential property markets in a booming economy: New evidence from Beijing. J Urban Econ 2008;63(2):743-57.
12. Horst P. Relations among m sets of variables. Psychometrika 1961;26(2):129-49.
13. Carroll JD. A generalization of canonical correlation analysis to three or more sets of variables. In: Proc 76th Conv Am Psych Assoc; 1968. p. 227-8.
14. Gardner RH. Pattern, process, and the analysis of spatial scales. In: Ecological scale: theory and applications. New York: Columbia University Press; 1998. p. 7-34.
15. Oztiirk F, Akdeniz F. Ill-conditioning and multicollinearity. Linear Algebra Appl 2000;321(1-3):295-305.
16. Beijing Municipal Bureau of Statistics. Beijing Statistical Yearbook 2007. Beijing: Chinese Statistics Press; 2008. p. 1-26 [in Chinese].
17. Ringle CM, Wende S, Will A. Customer segmentation with FIMIX-PLS. In: Proceedings of the PLS'05 international symposium. SPAD Test&go, France; 2005. p. 507-14.
18. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Marketing Res 1981;18(3):39-50.
19. Pedhazur EJ, Schmelkin LP. Measurement, design, and analysis: an integrated approach. Hillsdale: Lawrence Erlbaum; 1991. p. 104.
20. Churchill GA. Marketing research: methodological foundation. 5th ed. Fort Worth: The Dryden Press; 1995. p. 539.
21. Brueckner JK. Growth controls and land values in an open city. Land Econ 1990;66(3):237-48.