Advanced Semi-parametric and Parametric Methods to Assess Efficiency in the Postal Sector

M. Meschi (), M. R. Pierleoni () and Stefano Gori
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M. Meschi: FTI Consulting
M. R. Pierleoni: University of Tor Vergata

A chapter in Postal and Delivery Innovation in the Digital Economy, 2015, pp 207-217 from Springer

Abstract: Abstract This paper uses Two-stage Data Envelopment Analysis (“TS DEA”) and Stochastic Frontier models (“SF models”) to compare the efficiency performance of national postal operators. It applies TS DEA and SF methods to the same postal operator dataset, and compares their efficiency rankings and the way they account for the effect of exogenous variables. Section 2 contains a literature review. Section 3 applies two-stage DEA with bootstrapped Tobit regression and SF models to the database used in Pierleoni and Gori (2013). Section 4 concludes. The critical aspect of this paper is limited data availability (77 observations, seven operators for 11 years). This calls for caution in interpreting the results; there is a need for a combination of qualitative and quantitative analysis to fully grasp differences in performance between postal operators.

Keywords: Exogenous Variable; Efficiency Score; Postal Operator; Time Path; Stochastic Frontier Model (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-319-12874-0_16

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