The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for the Postal Sector

Catherine Cazals, Dudley Paul, Florens Jean-Pierre and Jones Michael
Additional contact information
Dudley Paul: Royal Mail Group
Florens Jean-Pierre: Toulouse School of Economics
Jones Michael: Royal Mail Group

Review of Network Economics, 2011, vol. 10, issue 3, 22

Abstract: In this paper, we examine the application of SFA method with time-invariant inefficiency and assess its estimation of inefficiency when applied to cross section and panel data. By using simulation methods, we look at the effect of unobserved heterogeneity on the estimates of inefficiency in both cross section and panel. In the presence of unobserved heterogeneity and significant variance in the inefficiency term, stochastic frontier estimation of inefficiency can be significantly different in panel and in cross section. This finding accords with analysis of actual data from the postal sector. We then suggest an estimation method for cost frontier when inefficiency is time-invariant and with unobserved heterogeneity.

Keywords: SFA; cross section and panel data; unobserved heterogeneity (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (1)

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Working Paper: The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for The Postal Sector (2010)
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DOI: 10.2202/1446-9022.1231

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