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

Specification of Distance Functions Using Semiand Nonparametric Methods With An Application to the Dynamic Performance of Eastern and Western European Air Carriers by Robin C. Sickles Rice University David H. Good Indiana University and Lullit Getachew Rice University 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 semiand 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.