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The Impact on Rent from Tenant and Landlord Characteristics and Interaction

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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.

Suggested Citation

  • Erling Røed Larsen & Dag Einar Sommervoll, 2006. "The Impact on Rent from Tenant and Landlord Characteristics and Interaction," Discussion Papers 467, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:467
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    1. Timothy K.M. Beatty & Erling Røed Larsen & Dag Einar Sommervoll, 2005. "Measuring the Price of Housing Consumption for Owners in the CPI," Discussion Papers 427, Statistics Norway, Research Department.
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    5. Andrea Baranzini & José V. Ramirez, 2005. "Paying for Quietness: The Impact of Noise on Geneva Rents," Urban Studies, Urban Studies Journal Limited, vol. 42(4), pages 633-646, April.
    6. Grenadier Steven R., 1995. "Flexibility and Tenant Mix in Real Estate Projects," Journal of Urban Economics, Elsevier, vol. 38(3), pages 357-378, November.
    7. Demougin, Dominique & Fluet, Claude, 2001. "Monitoring versus incentives," European Economic Review, Elsevier, vol. 45(9), pages 1741-1764, October.
    8. Schulz, Rainer & Werwatz, Axel, 2001. "A state space model for Berlin house prices," SFB 373 Discussion Papers 2001,58, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. Allen C. Goodman & Masahiro Kawai, 1985. "Length-of-Residence Discounts and Rental Housing Demand: Theory and Evidence," Land Economics, University of Wisconsin Press, vol. 62(2), pages 93-105.
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    Cited by:

    1. Røed Larsen, Erling & Weum, Steffen, 2008. "Testing the efficiency of the Norwegian housing market," Journal of Urban Economics, Elsevier, vol. 64(2), pages 510-517, September.

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    More about this item

    Keywords

    hedonic regression; housing market; landlord; rent; rental index; rental market; tenant.;
    All these keywords.

    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, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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