The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for The Postal Sector
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.
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|Date of creation:||2010|
|Publication status:||Published in The Review of Network Economics, vol. 10, n°3, 2011.|
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- William Greene, 2004.
"Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems,"
John Wiley & Sons, Ltd., vol. 13(10), pages 959-980.
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