Abstract
In recent studies, a wide range of variables has been suggested for modelling the variation in office rent. However, only a few of them are found to influence the explanatory power of the model significantly. Moreover, the significance of these variables varies from model to model, depending on the characteristics of the region or/and the model. It is well established that the regression model of complex phenomena do not perform well, unless the effects of all major determinants are adequately represented. It is also known that complex phenomena may involve a large number of variables, and linear regression models often becomes cumbersome as the number of variables increases. A practical solution to the problem may be to pre-select the significant variables, and leave the less influential ones out. An even better solution could be to include all or most variables, while incorporating the group effect of some variables into a reasonable number factor variables. This way, both the accuracy and practicality of the model can be sustained. Serving this purpose, ‘Factor Analysis’ has been employed in establishing the office rent model for the metropolitan area of İstanbul. The results of four different versions of the model, using linear and non-linear regressions are discussed.
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References
Adams GS (1964) Measurement and evaluation in education, psychology and guidance. Holt, Rinehart & Winston Inc. New York
Berköz L (2000, June) Location of financial, insurance and real estate firms in İstanbul. J Urban Plann Dev 126:75–88
Bollinger CR, Ihlanfeldt KR, Bowes DR (1998, June) Spatial variation in office rents within the Atlanta region. Urban Studies 35:1097–1118
Brennan T, Cannaday R, Codwell P (1984) Office rent in the Chicago CBD. AREUEA J 12:243–260 (Fall)
Bryman A, Cramer D (1996) Quantitative data analysis with minitab/a guide for social scientists. Routledge, London
Clapp JM (1980) The intrametropolitan location of office activities. J Reg Sci 20:387–399
Colliers International (2001) Central and east Europe real estate review.
D’Arcy E, McGough T, Tsolacos S (1996) Univariate models and cross-sectional analysis of office rents in twenty-five European cities,” international conference on real estate investment, Queen College, Cambridge
D’Arcy E, McGough T, Tsolacos S (1997) National economic trends, market size and city growth effects on European office ents. J Prop Res 14:297–308
D’Arcy E, McGough T, Tsolacos S (1999) An econometric analysis and forecast of the office rental cycle in the Dublin area. J Prop Res 16:309–321
Dökmeci V, Berköz L (1994) Transformation of İstanbul from a monocentric to a polycentric city. Eur Plan Stud 2:193–205
Frew J, Jud GD (1988) The vacancy rate and rent Level in the commercial office market. J Real Estate Res 3:1–8
Gardiner C, Henneberry J (1988) The development of a simple regional model of office rent prediction. J Valuat 7:36–52
Gardiner C, Henneberry J (1991, Spring) Prediction regional office rents using habit-persistence theories. J Prop Valuat Invest 9:215–226
GatD (1998) Urban focal points and design quality influence rents: the case of the Tel Aviv office market. J Real Estate Res 16:229–247
Glasscock JL, Johanian S, Sirmans CF (1990) An analysis of office market rents. AREUEA J 18:105–119
He LT, Webb JR (1999) Causality in real estate markets: the case of Hong Kong. J Real Estate Portf Manag 5, 259–271.
Hekman J (1985, Spring) Rental price adjustment and investment in the office market. AREUEA J 13:31–47
Hendershott PH (1996) Rental adjustment and valuation in overbuilt markets: evidence from the Sydney office market. J Urban Econ 39:51–67
Hendershott P, Macgregor BD, Tse RYC (2002, Summer) Estimation of the rental adjustment process. Real Estate Econ 30:165–183
Kimball JR, Bloomberg BS (1987) Office space demand analysis. The Appraisal Journal 567–577
Lawley DN, Maxwell AE (1963) Factor analysis as a statistical method. Butterworths, London
Mills ES (1992, Spring) Office Rent Determinants in the Chicago Area. AREUEA J 20:273–289
Municipality of metropolitan İstanbul. (1995) Development plan report for metropolitan area of İstanbul,” İstanbul, (in Turkish)
Norisis MJ (1994) SPSS Professional Statistics 6.1, SPSS
Özdemir AD (1999) Socio-morphological transformations of urban space after the 1980s: a case study of İstanbul City Core in a Comparative Perspective, PhD thesis METU, Ankara
Pekdemir D (2002) Determining parameters in modelling office rents—a case study for İstanbul, MSc thesis, Gebze Institute of Technology Gebze, (in Turkish)
PekdemirD, Öven VA (2004) Improving Hedonic Office Rent Prediction Models, 11th European Real Estate Society Conference, Milan, Italy
Pollakowski H, Wachter S, Lynford L (1992, Spring) Did office market size matter in the 1980s? a time series cross-sectional analysis of metropolitan area office markets. AREUEA J 20:303–324
Reyment RA, Jöreskog KG, Marcus LF (1996) Applied factor analysis in the natural sciences. Cambridge University Press, Cambridge
Rosen K (1984) Toward a model of the office building sector. AREUEA J 12:261–269
Shilling J, Sirmans C, Corgel J (1987) Price adjustment process for rental office space. J Urban Econ 22:90–100
Sivitanides P (1997) The rent adjustment process and the structural vacancy rate in the commercial real estate market. J Real Estate Res 13:195–209
Sivitanidou R (1995) Urban spatial variations in office-commercial rents: the role of spatial amenities and commercial zoning. J Urban Econ 38:23–49
Sivitanidou R (1996) Do office-commercial firms value access to service employment centers? A hedonic value analysis within polycentric Los Angeles. J Urban Econ 40:125–149
Slade BA (2000) Office rent determinants during market decline and recovery. J Real Estate Res 20:357–380
Statistical package social science. (1999) SPSS 10.0, SPSS Inc
Tsolacos S, Keogh G, McGough T (1998) Modelling use, investment, and development in the British office market. Environ Plann A 30:1409–1427
Webb RB, Fisher JD (1996) Development of an effective rent index for the Chicago CBD. J Urban Econ 39:1–19
Webb JR, Tse RYC (2000) Regional comparison of office prices and rentals in China: evidence from Shanghai, Guangzhou and Shenzhen. J Real Estate Portf Manag 6:141–151
Wheaton WC (1984) The incidence of inter-jurisdictional differences in commercial property taxes. Natl Tax J 37:515–527
Wheaton WC, Torto R (1988) Vacancy rates and future of office rents. AREUEA J 16:430–436
Wheaton WC, Torto R (1994) Office rent indices and their behavior over time. J Urban Econ 35:121–139
Yusof AM (2000) The Impact of Depreciation—A Hedonic Analysis of Offices in the City of Kuala Lumpur, Pacific Rim real Estate Society Conference, Sydney, Australia
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This paper is dedicated to my mentor, Assistant Professor VasıAtilla Öven.
Dilek Pekdemir
* Dear readers of The Journal of Real Estate Finance and Economics, the subsequent article is the last one written by Dr. VasNf Atilla Öven, who unexpectedly passed away on 23 May 2005 at an early age. Dr. Öven was a highly-dedicated and hard-working researcher and educator. Despite his short academic career, Dr. Öven left a deep imprint on engineering, architecture and urban issues. His persistent pursuit and achievement of excellence; his compassion and humbleness; his integrity and his humanistic attitudes will always be remembered with deep affection.
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Öven, V.A., Pekdemir, D. Office Rent Determinants Utilising Factor Analysis—A Case Study for İstanbul. J Real Estate Finan Econ 33, 51–73 (2006). https://doi.org/10.1007/s11146-006-8274-5
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DOI: https://doi.org/10.1007/s11146-006-8274-5