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The Impact on Rent from Tenant and Landlord Characteristics and Interaction

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Author Info
Erling Røed Larsen and Dag Einar Sommervoll () (Statistics Norway)
Abstract

Owner-occupied housing services and rented housing services are often considered close substitutes, and both house price and rental price indices rely on regressions based on dwelling and location characteristics. However, while such characteristics are exhaustive in the owner's market, they cannot capture the additional complexity of rental markets. This paper offers a theoretical framework and an empirical analysis of additional factors that affect rent. The factors comprise three categories: Landlord characteristics, tenant characteristics, and characteristics of the landlord-tenant interaction. We analyze a novel data set sampled from the Norwegian rental market and obtain substantial improvements in explanatory power by including information on tenant and landlord characteristics and interaction. While variation in geographical variables explains 17 percent of the variation in monthly rent; variation in hedonic variables explain only 12 percent. Variation in tenant and landlord characteristics and interaction explains as much as 15 percent of rent variation. The full model captures 44 percent of rent variation and offers insights into the monetary values of landlord type, market mediation, tenure length, tenant type, and services. This additional explanatory power accentuates the difference between the owner's and renter's market, and the results come with ramifications for the general understanding of the rental market, for construction of rental indices, and for the assumption of a rental-equivalence principle in CPI-construction.

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Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 467.

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Date of creation: Aug 2006
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Handle: RePEc:ssb:dispap:467

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Related research
Keywords: hedonic regression; housing market; landlord; rent; rental index; rental market; tenant.;

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Find related papers by JEL classification:
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
R21 - Urban, Rural, and Regional Economics - - Household Analysis - - - Housing Demand

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Grenadier Steven R., 1995. "Flexibility and Tenant Mix in Real Estate Projects," Journal of Urban Economics, Elsevier, vol. 38(3), pages 357-378, November. [Downloadable!] (restricted)
  2. Timothy K.M. Beatty, Erling Røed Larsen and Dag Einar Sommervoll, 2005. "Measuring the Price of Housing Consumption for Owners in the CPI," Discussion Papers 427, Research Department of Statistics Norway. [Downloadable!]
  3. Kenneth Y. Chay & Michael Greenstone, 2005. "Does Air Quality Matter? Evidence from the Housing Market," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 376-424, April.
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  4. Demougin, Dominique & Fluet, Claude, 2001. "Monitoring versus incentives," European Economic Review, Elsevier, vol. 45(9), pages 1741-1764, October. [Downloadable!] (restricted)
  5. Schmitz, Patrick W., 2002. "Simple contracts, renegotiation under asymmetric information, and the hold-up problem," European Economic Review, Elsevier, vol. 46(1), pages 169-188, January. [Downloadable!] (restricted)
  6. R. Schulz & A. Werwatz, . "A State Space Model For Berlin House Prices," Sonderforschungsbereich 373 2001-58, Humboldt Universitaet Berlin.
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