Too much to pay: an estimation through microsimulation techniques of the monetary costs of early school leaving in Spain
J Calero and
M Gil-Izquierdo
Journal of Simulation, 2014, vol. 8, issue 4, 314-324
Abstract:
Simulation techniques are nowadays widely applied in many areas of knowledge, as a means to provide tools for predicting future behaviour and reactions. In the last few years, public economy is one of the areas where there has been an increasing interest in simulation techniques in order to evaluate the achievement of different public policies, though these techniques are not as developed as in other subject areas. In this context, this paper provides empirical evidence for simulation literature, addressing two main aspects: first, an extended and alarming problem in Spain, the monetary costs associated with early school leaving (ESL) (Spain’s ESL rate is one of the highest in the EU); and, second, a not very common methodology to investigate this phenomenon: microsimulation techniques. More specifically, a behavioural microsimulation model is proposed in order to study the effects on employment and wages of eradicating ESL in Spain over a 20-year time horizon. Our results, under various scenarios, indicate that an increase in GDP of between 4 and 17% could be achieved.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1057/jos.2014.11 (text/html)
Access to full text is restricted to subscribers.
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:taf:tjsmxx:v:8:y:2014:i:4:p:314-324
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1057/jos.2014.11
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().