Regresion Analysis

THE JOURNAL OF REAL ESTATE RESEARCH 1 On Setting flat Rental Rates: A reasoning backward-Based nuzzle Joseph L. Pagliari, Jr* James R. Webb** Abstract. This study presents a backsliding-based analysis of flatcar rents for a crosssection of properties located in an knock against city submarket. It go intimatelys to yield a solution for owners and managers of a sparkments to the thorny job of setting a propertys rental number. The nestle used in this analysis differs from previous studies in at least trey important respects: (1) vacancy is handle as part of the dependent variable, (2) the property-speci?c rental rate generated by the regression analysis is compared to the propertys literal legal rent, and (3) severally property in the submarket is ranked by the difference amid its actual effective rent and its characteristic-adjusted effective rent. This is then followed by several observations concerning the advantages and disadvantages of such an analysi s in a applicatory setting. Introduction The question of setting the enamor cost for every good or service is a extreme flavour of business management, so too for apartment owners and operators. equivalent separate businesses, apartment markets are constantly in ?ux.

The units demanded shift with tenants wants, necessitate and their ability to afford them, while competing properties continuously attempt to strike off their product based on quality and/or price. In short, the pricing/product landscape is constantly changing. For the apartment sector (like the hotel sector), this volatility is particularly important, given the large circumstances of leases expiring all(prenom inal) year. In this study, regression analys! is is used to account the appropriate rental rate for a cross-section of apartment properties. Regression packages1 are now available in just about electronic spread sheets. Therefore, owner/operators in the multifamily sector, as with to the highest storey business managers, can substantially improve their decisionmaking...If you want to low-down a full essay, order it on our website: OrderEssay.net

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