Specification of Distance Functions Using Semi- and Nonparametric Methods with an Application to the Dynamic Performance of Eastern and Western European Air Carriers

Robin Sickles, David Good () and Lullit Getachew ()

Journal of Productivity Analysis, 2002, vol. 17, issue 1, 133-155

Abstract: In this paper we examine the productive performance of a group of three East European carriers and compare it to thirteen of their West European competitors during the period 1977–1990. We first model the multiple output/multiple input technology with a stochastic distance frontier using recently developed semiparametric efficient methods. The endogeneity of multiple outputs is addressed in part by introducing multivariate kernel estimators for the joint distribution of the multiple outputs and potentially correlated firm random effects. We augment estimates from our semiparametric stochastic distance function with nonparametric distance function methods, using linear programming techniques, as well as with extended decomposition methods, based on the Malmquist index number. Both semi- and nonparametric methods indicate significant slack in resource utilization in the East European carriers relative to their Western counterparts, and limited convergence in efficiency or technical change between them. The implications are rather stark for the long run viability of the East European carriers in our sample. Copyright Kluwer Academic Publishers 2002

Keywords: Distance function; stochastic frontiers; data envelopment analysis; nonparametric methods; European airline industry (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (38)

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DOI: 10.1023/A:1013592506555

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