On the Imputation of Rental Prices to Owner-occupied Housing
AbstractThis paper challenges the usual objections to the possibility of applying the rental equivalent approach to determine the weight that nonrental housing services should have in the Consumer Price Index (CPI). Using data from two Spanish household budget surveys, it is shown that market rents can be well represented in terms of an index of housing quality, two geographical variables, and the year of occupancy. This parsimonious empirical model is used to impute a rental value to nonrental housing units, taking into account the possible selection bias induced by systematic differences in housing characteristics between the market rental sector and the nonrental stock. On average, the estimated hedonic values are relatively close to the self-imputations provided in the household surveys by the occupants of such dwellings. Therefore, using either of the two alternatives to assess the importance of nonrental housing services in the CPI have small consequences for inflation. Instead, dropping these services from the CPI creates a downward bias in the measurement of inflation of 0.33 percentage points per year during 1985â€“1992, and an upward bias of 0.38 percentage points per year during 1993 to 2000. (JEL: C43, D12, R21, C21, E31) Copyright (c) 2006 by the European Economic Association.
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Bibliographic InfoArticle provided by MIT Press in its journal Journal of the European Economic Association.
Volume (Year): 4 (2006)
Issue (Month): 4 (06)
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Web page: http://www.mitpressjournals.org/jeea
Other versions of this item:
- Ruiz-Castillo, Javier & Arévalo, Raquel, 2006. "On the imputation of rental prices to owner-occupied housing," Open Access publications from Universidad Carlos III de Madrid info:hdl:10016/4743, Universidad Carlos III de Madrid.
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
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