The paper examines whether inflation systematically distorts the informational content of price signals. A shadow cost function is specified, and the deviation of shadow from actual prices is modeled as a function of the level of economy-wide inflation, as well as other conditioning variables...

Productivity and efficiency analyses have been indispensable tools for evaluating firms’ performance in the banking sector. In this context, the use of Artificial Neural Networks (ANNs) has been recently proposed in order to obtain a globally flexible functional form which is capable of...

A convenient and simple GMM procedure for estimating stochastic frontier models in the presence of endogenous regressors is proposed. Monte Carlo simulations show that the proposed estimator works very well in finite samples. We apply the proposed method to panel data of Norwegian dairy farms to...

The paper introduces a new dynamic frontier model that is used to analyze the impact of both ownership and regulation on airport technical and allocative efficiencies. We differentiate between the short and long-term effects. Based on a large sample of international airports, we find in the...

The paper studies technical inefficiency in the railway systems of ten countries of the European Union. A new approach is used which permits the disaggregation of inefficiency by factor of production to result in estimates of input-specific technical inefficiency. The cost structure is...

This paper examines the performance of European banks during the pre-crisis and post-crisis periods, both in terms of technical and allocative efficiencies. We use an innovative Bayesian dynamic frontier model that: (1) distinguishes between short-run and long-run performance; and (2) provides...