Estimation of drivers of public education expenditure: Baumol’s effect revisited
Manabu Nose
International Tax and Public Finance, 2017, vol. 24, issue 3, No 7, 512-535
Abstract:
Abstract This paper analyzes drivers of rising per-pupil public education spending, including Baumol’s “cost disease” effect. Empirical analyses using a large dataset of advanced and developing economies show that the contribution of Baumol’s effect was much smaller than implied by theory. Rather, the increase in per-pupil spending reflects rising wage premiums paid for teachers in excess of market wages, especially in developing countries. The strong wage premium effect suggests that institutional characteristics that govern teachers’ wage-setting are key determinants of education expenditure.
Keywords: Public education expenditure; Baumol’s effect; Wage premium (search for similar items in EconPapers)
JEL-codes: H52 I21 I25 I28 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s10797-016-9410-7 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Estimation of Drivers of Public Education Expenditure: Baumol’s Effect Revisited (2015) 
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:kap:itaxpf:v:24:y:2017:i:3:d:10.1007_s10797-016-9410-7
Ordering information: This journal article can be ordered from
http://www.springer. ... ce/journal/10797/PS2
DOI: 10.1007/s10797-016-9410-7
Access Statistics for this article
International Tax and Public Finance is currently edited by Ronald B. Davies and Kimberly Scharf
More articles in International Tax and Public Finance from Springer, International Institute of Public Finance Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().