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J Hekman (1985)
Rental price adjustment and investment in the office marketAREUEA J, 13
T Brennan, R Cannaday, P Codwell (1984)
Office rent in the Chicago CBDAREUEA J, 12
P. Sivitanides (1997)
The Rent Adjustment Process and the Structural Vacancy Rate in the Commercial Real Estate MarketJournal of Real Estate Research, 13
P. Hendershott (1996)
Rental Adjustment and Valuation in Overbuilt Markets: Evidence from the Sydney Office MarketJournal of Urban Economics, 39
Samuel Mayo, G. Adams, T. Torgerson (1966)
Measurement and evaluation in education, psychology and guidanceAmerican Educational Research Journal, 3
Lale Berköz (2000)
Location of Financial, Insurance, and Real Estate Firms in IstanbulJournal of Urban Planning and Development-asce, 126
Daniel Gat (1999)
Urban Focal Points and Design Quality Influence Rents: The Tel Aviv Office MarketJournal of Real Estate Research, 16
V. Dokmeci, Lale Berköz (1994)
Transformation of Istanbul from a monocentric to a polycentric cityEuropean Planning Studies, 2
Thomas Brennan, Roger Cannaday, P. Colwell (1984)
Office Rent in the Chicago CBDReal Estate Economics, 12
J. Clapp (1980)
THE INTRAMETROPOLITAN LOCATION OF OFFICE ACTIVITIESJournal of Regional Science, 20
J. Glascock, S. Jahanian, C. Sirmans (1990)
An Analysis of Office Market Rents: Some Empirical EvidenceReal Estate Economics, 18
ES Mills (1992)
Office Rent Determinants in the Chicago AreaAREUEA J, 20
James Webb, Raymond Tse (2000)
Regional Comparison of Office Prices and Rentals in China: Evidence from Shanghai, Guangzhou and ShenzhenThe journal of real estate portfolio management, 6
Barrett Slade (2001)
Office Rent Determinants During Market Decline and RecoveryJournal of Real Estate Research, 20
J. Frew, G. Jud (1988)
The Vacancy Rate and Rent Levels in the Commercial Office MarketJournal of Real Estate Research, 3
K Rosen (1984)
Toward a model of the office building sectorAREUEA J, 12
J. Shilling, J. Corgel, Peter Colwell, Jim Barth, John Clapp, Mel Jameson (1987)
Price adjustment process for rental office spaceJournal of Urban Economics, 22
M. Norusis (1994)
SPSS professional statistics 6.1
JL Glasscock, S Johanian, CF Sirmans (1990)
An analysis of office market rentsAREUEA J, 18
John Hekman (1985)
Rental Price Adjustment and Investment in the Office MarketReal Estate Economics, 13
P. Hendershott, B. MacGregor, Raymond Tse (2000)
Estimating the Rental Adjustment ProcessJournal of Financial Abstracts eJournal
É. D’Arcy, T. McGough, S. Tsolacos (1999)
An econometric analysis and forecasts of the office rental cycle in the Dublin areaJournal of Property Research, 16
Kenneth Rosen (1984)
Toward a Model of the Office Building SectorReal Estate Economics, 12
Allen Archer, R. Reyment, K. Jöreskog (1994)
Applied Factor Analysis in the Natural Sciences.Biometrics, 53
William Wheaton, Raymond Torto (1988)
Vacancy Rates and the Future of Office RentsReal Estate Economics, 16
D. Pekdemir, O. Attila (2004)
Improving Hedonic Office Rent Prediction Models
S. Tsolacos, G. Keogh, T. McGough (1998)
Modelling Use, Investment, and Development in the British Office MarketEnvironment and Planning A, 30
WC Wheaton (1984)
The incidence of inter-jurisdictional differences in commercial property taxesNatl Tax J, 37
WC Wheaton, R Torto (1988)
Vacancy rates and future of office rentsAREUEA J, 16
R. Sivitanidou (1996)
Do Office–Commercial Firms Value Access to Service Employment Centers? A Hedonic Value Analysis within Polycentric Los AngelesJournal of Urban Economics, 40
C. Gardiner, J. Henneberry (1991)
Predicting Regional Office Rents Using Habit‐persistence TheoriesJournal of Property Valuation and Investment, 9
J. Thornby, D. Lawley, A. Maxwell (1964)
Factor Analysis as a Statistical Method.The Statistician, 12
P Hendershott, BD Macgregor, RYC Tse (2002)
Estimation of the rental adjustment processReal Estate Econ, 30
C. Gardiner, J. Henneberry (1989)
The development of a simple regional office rent prediction model, 7
William Wheaton, Raymond Torto (1994)
Office Rent Indices and Their Behavior over TimeJournal of Urban Economics, 35
C Gardiner, J Henneberry (1988)
The development of a simple regional model of office rent predictionJ Valuat, 7
C. Bollinger, K. Ihlanfeldt, David Bowes (1998)
Spatial Variation in Office Rents within the Atlanta RegionUrban Studies, 35
T. Ling, R. James (2000)
Causality in Real Estate Markets: The Case of Hong KongThe journal of real estate portfolio management, 6
E. Mills (1992)
Office Rent Determinants in the Chicago AreaReal Estate Economics, 20
R. Sivitanidou (1995)
Urban Spatial Variations in Office-Commercial Rents: The Role of Spatial Amenities and Commercial ZoningJournal of Urban Economics, 38
H. Pollakowski, Susan Wachter, Lloyd Lynford (1992)
Did Office Market Size Matter in the 1980s? A Time‐Series Cross‐Sectional Analysis of Metropolitan Area Office MarketsReal Estate Economics, 20
É. D’Arcy, T. McGough, S. Tsolacos (1997)
National economic trends, market size and city growth effects on European office rentsJournal of Property Research, 14
D Gat (1998)
Urban focal points and design quality influence rents: the case of the Tel Aviv office marketJ Real Estate Res, 16
H Pollakowski, S Wachter, L Lynford (1992)
Did office market size matter in the 1980s? A time series cross-sectional analysis of metropolitan area office marketsAREUEA J, 20
A. Bryman, D. Cramer (1996)
Quantitative Data Analysis with Minitab: A Guide for Social Scientists
R. Webb, Jeffrey Fisher (1996)
Development of an Effective Rent (Lease) Index for the Chicago CBDJournal of Urban Economics, 39
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.
The Journal of Real Estate Finance and Economics – Springer Journals
Published: May 22, 2006
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