Metodologie per la stima degli affitti figurativi ed impatto sulla distribuzione del reddito
Claudio Ceccarelli,
Andrea Cutillo and
Davide Di Laurea ()
Rivista di statistica ufficiale, 2009, vol. 11, issue 1, 17-38
Abstract:
In the relevant literature it is well established that imputed rents – a non-monetary income source for all households whose living accommodation is not rented at a market price - has to be accounted for in order to provide a more accurate and comparable measure of the total disposable household income. A more controversial issue is about the choice among distinct estimation approaches and how to operationalise them. This paper aims to analyse the impact of different estimation methods for imputed rents on the distribution of disposable income as well as on inequality measures, using data from EUSILC. Subjective rents – self-assessed values by the respondents - are compared with predicted values coming from econometric techniques, i.e. an hedonic regression model,being both methods coherent with the ‘rental equivalence value’ approach. Three main issues are assessed: i) pros and cons of each method; ii) if the tenure discount (the length of tenure), which turns to be a relevant factor in determining the observed values of the market rents, has to be taken into explicit account in predicting imputed rents; iii) how to prevent biases on model predictions eventually arising if a selection process between tenants at a market price and households living with different accommodation occurs.
Keywords: Imputed rentals; selection bias; income distribution (search for similar items in EconPapers)
JEL-codes: D31 D33 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.istat.it/it/files/2011/05/1_20091.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:isa:journl:v:11:y:2009:i:1:p:17-38
Access Statistics for this article
More articles in Rivista di statistica ufficiale from ISTAT - Italian National Institute of Statistics - (Rome, ITALY) Contact information at EDIRC.
Bibliographic data for series maintained by Stefania Rossetti ().