In this paper, we propose a new approach to stochastic frontier models, viz., a Markov switching structure to accommodate cross-sectional parameter heterogeneity and temporal variation in the parameters and technical inefficiency distributions. The Markov Chain Monte Carlo techniques are...

In this paper we investigate the productivity growth – inflation nexus in fifteen European countries over the period 1961–1999 using panel unit root and panel cointegration tests. Emphasis is placed on the distinction between long-run and short-run causality using recently developed tests...

We study the effect of technology gaps and capital deepening on the productivity growth of Greek prefectures over the period 1971-1995. The empirical results show that Greek prefectures tended to converge over time, contrary to conventional wisdom. It is found that capital deepening plays a...

Standard equilibrium models are unable to replicate the average return on equity and the risk-free rate during 1889-1978, the well-known asset returns puzzle. The present paper, motivated by the excess of outliers in the data, proposes a normal-scale mixture stochastic process for output that is...

Efficiency analysis is an important tool for evaluating firms' performance. This paper introduces a novel approach for measuring technical efficiency (TE) in the case of technologies with multiple outputs which deals with the endogeneity of outputs issue. The proposed approach uses Artificial...

This paper specifies an empirical framework for estimating both technical and allocative efficiency using the translog cost-share system, thus providing a solution to the issue known in the literature as the Greene problem. The model is applied to a large panel of European banks and the results...

Stochastic DEA can deal effectively with noise in the non-parametric measurement of efficiency but unfortunately formal statistical inference on efficiency measures in not possible. In this paper, we provide a Bayesian approach to the problem organized around simulation techniques that allow for...

The output distance function is a key concept in economics. However, its empirical estimation often violates properties dictated by neoclassical production theory. In this paper, we introduce the neural distance function (NDF) which constitutes a global approximation to any arbitrary production...

The paper demonstrates that the standard neoclassical model of stochastic growth in the absence of any other modifications is consistent with club convergence contrary to the analysis in Cetorelli (2002, Journal of Economic Dynamics and Control, 27, pp. 29-50). In that sense, it is not necessary...