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 paper develops new indices of financial stability based on an explicit model of expected utility maximization by financial institutions subject to the classical technology restrictions of neoclassical production theory. The model can be estimated using standard econometric techniques, like...

In the debate concerning a country’s structural weaknesses there is an obvious neglect of space issues, an important component of which is regional imbalances. Yet, the persistence of such imbalances within countries has dictated the continuous investigation of their causes and of the required...

This paper presents evidence regarding the existence of common business cycles in OECD countries. More specifically, the paper examines the extent to which these cycles relate to each other over time. Business cycle components of output are extracted by adopting the Hodrick–Prescott,...

This paper proposes and estimates a globally flexible functional form for the cost function, which we call Neural Cost Function (NCF). The proposed specification imposes a priori and satisfies globally all the properties that economic theory dictates. The functional form can be estimated easily...

This paper reconsiders the formal estimation of bank risk using the variability of the profit function. In our model, point estimates of the variability of profits are derived from a model where this variability is endogenous to other bank characteristics, such as capital and liquidity. We...

In this paper we derive both primal and dual-cost systems in which the stochastic specifications arise from the model (random environment or measurement errors and optimization errors)—not tacked on at the end after the deterministic system is worked out. Derivation of the error structures 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...

The paper proposes a stochastic frontier model with random coefficients to separate technical inefficiency from technological differences across firms, and free the frontier model from the restrictive assumption that all firms must share exactly the same technological possibilities. Inference...