Economics at your fingertips  

Comparison of Stochastic Frontier Approaches for Estimating National Efficiency: An Application to Sub-Saharan African Countries

Michael Danquah and Bazoumana Ouattara ()
Additional contact information
Michael Danquah and Bazoumana Ouattara: University of Ghana, University of Manchester

Authors registered in the RePEc Author Service: Michael Danquah ()

Journal of Economic Development, 2018, vol. 43, issue 3, 119-142

Abstract: In this paper, we attempt to estimate pure national (technical) efficiency for 19 SSA countries over the 1960-2010 periods. In doing this, we compare conventional stochastic frontier models for panel data with a number of recently developed models which seek to control for unobserved heterogeneity in the inefficiency component. We find that the ¡®true¡¯ random effects model that treats unobserved heterogeneity in our national dataset generates more reasonable efficiency estimates. Moreover the results confirm that most SSA countries operate far from the efficient frontier.

Keywords: National Efficiency; Productivity; Stochastic Frontier Model; Sub-Saharan Africa (search for similar items in EconPapers)
JEL-codes: D24 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (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:

Access Statistics for this article

Journal of Economic Development is currently edited by Sung Y. Park

More articles in Journal of Economic Development from Chung-Ang Unviersity, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sung Y. Park ().

Page updated 2019-03-31
Handle: RePEc:jed:journl:v:43:y:2018:i:3:p:119-142