Estimation of an Extended SAM with household production for Spain 1995

Ezequiel Uriel (), Javier Ferri and Maria Luisa Molto

Economic Systems Research, 2005, vol. 17, issue 3, 255-278

Abstract: This paper implements the conceptual framework sketched by Pyatt (1990) to construct an extended Social Accounting Matrix for Spain in 1995 (ESAM-95) to consider, in addition to the market economy, the production of services provided by households through unpaid work. In doing so, the ESAM-95 integrates the accounts related to market activities (ESA accounts) with non-market activities (non-ESA accounts) in a consistent way. Additional classifications are introduced in both ESA and non-ESA accounts in order to disaggregate the institutional accounts by household type and those of production factors by educational level and gender. The extended SAM is useful to calibrate CGE models in which the distribution of time between paid and unpaid work is a relevant variable.

Keywords: Social accounting matrix; use of time; household production (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/09535310500221773 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: ESTIMATION OF AN EXTENDED SAM WITH HOUSEHOLD PRODUCTION FOR SPAIN 1995 (2005)
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:taf:ecsysr:v:17:y:2005:i:3:p:255-278

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CESR20

DOI: 10.1080/09535310500221773

Access Statistics for this article

Economic Systems Research is currently edited by Bart Los and Manfred Lenzen

More articles in Economic Systems Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().