Stochastic frontier in non-profit associations’ performance assessment (the case of homeowners’ associations)
Anatoly Peresetsky and
Applied Econometrics, 2010, vol. 20, issue 4, pages 75-101
The paper demonstrates the potential of the stochastic frontier-based methods of performance assessment of non-profit associations. They are commonly used for productivity analysis and could serve as an adequate tool for such assessment, especially when dealing with numerous non-profits pursuing identical and clearly identified objectives. A case in point is homeowners associations (HOA), which are formed within apartment buildings to manage common property. Data was collected by a survey of 82 HOAs in Russia’s national capital Moscow and a large industrial city of Perm. Different techniques and robust checks are applied, exogenous parameters that influence HOA efficiency are revealed. Among those, physical conditions of the housing stock and ability of tenants to resolve the collective action problem in operating housing infrastructure were shown to be of primary importance. Overall, HOA, despite of their appeal and successful performance in developed nations, are not necessarily a superior option in countries and societies where civic capacity is in short supply, and housing stock suffers from wear and tear
Keywords: stochastic frontier; non-profit organizations; homeowners associations; social capital; housing and communal services reform (search for similar items in EconPapers)
JEL-codes: C01 L31 P25 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
http://pe.cemi.rssi.ru/pe_2010_4_75-101.pdf Full text (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: /RePEc:ris:apltrx:0010
Access Statistics for this article
Applied Econometrics is currently edited by Sergei Aivazian
More articles in Applied Econometrics from Publishing House "SINERGIA PRESS"
Series data maintained by Anatoly Peresetsky ().