Endogenous productivity and equality of opportunity

We consider a production economy ??à la Mirrlees?? in which the earnings capability of individuals is endogenous. Individuals are heterogeneous with respect to their preferences and their propensity to benefit from a given investment in human capital. We look for allocation rules satisfying properties that capture the objective of equalizing opportunities. We characterize four allocation rules that both encompass different perspectives of equality of opportunity and justify different levels of public intervention.     

On the Joint Estimation of Heterogeneous Technologies,Technical, and Allocative Inefficiency

In this article, we provide a semiparametric approach to the joint measurement of technical and allocative inefficiency in a way that the internal consistency of the specification of allocative errors in the objective function (e.g., cost function) and the derivative equations (e.g., share or input demand functions) is assured. We start from the Cobb–Douglas production and shadow cost system. We show that the shadow cost system has a closed-form likelihood function contrary to what was previously thought. In turn, we use the method of local maximum likelihood applied to a system of equations to obtain firm-specific parameter estimates (which reveal heterogeneity in production) as well as measures of technical and allocative inefficiency and its cost. We illustrate its practical application using data on U.S. electric utilities.     

Training fieldwork supervisors of social work students at a South European University: evaluation of the effectiveness of a relational psychodynamic model

This case-study adopts a mixed research methodology in order to evaluate the process and the effectiveness of a psychodynamically informed training seminar for field supervisors of undergraduate social work students, at a South European University. At the beginning of the seminar, an anonymous questionnaire gathered information on the supervisors’ demographics, preferred supervision style and expectations from the training. The training consisted of four sessions involving analysis of (1) student process-recorded interviews with clients, (2) the relationships formed between the student, the supervisor and the field practice manager, (3) brief virtual scenarios (vignettes) of field practice problems and (4) a videotaped supervision session. At the end of the training process, a follow-up questionnaire researched the satisfaction of supervisors with the training, their confidence to conduct supervision, and their satisfaction with the instructor's teaching. Overall, the training has been satisfactory for the trainees and increased their competence to supervise.     

A Bayesian approach to statistical inference in stochastic DEA

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 finite-sample inferences on efficiency scores. The new methods are applied to efficiency analysis of the Greek banking system for the period 1993–1999. The results show that the majority of the Greek banks operate close to best market practices.     

Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models

In this article, we consider the estimation of semiparametric panel data smooth coefficient models. We propose a class of local generalized method of moments (LGMM) estimators that are simple and easy to implement in practice. We show that the proposed LGMM estimators are consistent and asymptotically normal. Monte Carlo simulations suggest that our proposed estimator performs quite well in finite samples. An empirical application using a large panel of U.K. firms is also presented.     

Posterior analysis,prediction and reliability in three-parameter weibull distributions

The paper develops Bayesian analysis in the context of samples from three-parameter Weibull distributions and shows how to tackle the problems of prediction and estimation of reliability curves. As Johnson, Kotz and Balakrishnan ( 1994 ) mentioned, the prediction problems for the three-parameter Weibull model seem to be unresolved and is certainly worth looking into (p.671). Posterior analysis organized around Gibbs sampling is shown to perform well. An application to stock returns is used to illustrate the potential of the approach.     

Half a century of empirical evidence of business cycles in OECD countries

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, Baxter–King and the Christiano–Fitzgerald filters. The degree of business cycle co-movements is determined by evaluating the cross-correlation of the cyclical components of output in selected countries. We also implement the bound-testing approach proposed by Pesaran, Shin and Smith (2001) to investigate the long-run and short-run relations among the business cycle components of output. The study covers the period from 1960 to 2010. The empirical results suggest that there are two distinct cycles in the OECD countries: the Euro-area cycle, which includes the business cycles of Germany, France, Italy, Netherlands, Austria and Belgium, and the world cycle, which consists of the business cycles of the United States, Canada and the United Kingdom.     

Efficiency of the Greek banking system in view of the EMU: a heteroscedastic stochastic frontier approach

The paper estimates empirically cost efficiency of the Greek banking system for the period 1993–1998. The beginning of the examination period coincides with the acceleration of liberalization and deregulation of the Greek financial system, in view of the country joining the EMU. The study uses a multi-input, multi-output technology and adopts a heteroscedastic frontier model instead of a commonly used homoscedastic one to measure cost efficiency in the banking system. The empirical results show that larger banks are less efficient than smaller ones. Also, it is found that economic performance, bank loans and investments are positive related to the cost efficiency of the Greek commercial banking sector.