Stochastic frontier models with random coefficients

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 procedures for the new model are developed based on Bayesian techniques, and computations are performed using Gibbs sampling with data augmentation to allow finite‐sample inference for underlying parameters and latent efficiencies. An empirical example illustrates the procedure. Copyright © 2002 John Wiley & Sons, Ltd.     

Product innovation in banking: How marketing works

Many benchmarking initiatives are driven by an academic or government desire to understand the position of industry sectors relative to each other or to those of other nations. In contrast, for managers striving to compete and drive their businesses forward, this generalised approach is secondary to their need for tools which are applicable in their own company and which give them direct benefits.

Observing that benchmarking has proved very powerful in manufacturing, the Chartered Institute of Marketing (CIM) invested in research to establish a similar approach in marketing. Benchmarking was defined as a system which incorporates three essential elements: measurement, processes, and a defined, measured, aspirational 'benchmark'.

This paper describes a unique benchmarking tool designed specifically for marketing processes (CIMBA), developed by the CIM. It enables both marketers and senior executives in non-marketing functions to identify the role of marketing in their organisation and to measure the processes which convert marketing strategy into reality.

The system is driven by a model of best practice, tailored to each organisation's situation through their particular critical success factors. Analysis is software-based to provide easy manipulations of the data. CIMBA provides the measurements and the means to broker partnerships between carefully matched companies, even across sectors, if they have gone through a CIMBA assessment.     

Full Likelihood Inference in Normal-Gamma Stochastic Frontier Models

The paper takes up inference in the stochastic frontier model with gamma distributed inefficiency terms, without restricting the gamma distribution to known integer values of its shape parameter (the Erlang form). The paper shows that Gibbs sampling with data augmentation can be used in a computationally efficient way to explore the posterior distribution of the model and conduct inference regarding parameters as well as functions of interest related to technical inefficiency.     

Inflation and Productivity: Empirical Evidence from Europe

The paper investigates the empirical association between inflation and productivity in 15 European countries over the period 1960–97. Modern econometric techniques based on integration and cointegra– tion analysis are used to test for the existence of a long–run relationship between inflation and productivity. Recently developed causality tests for possibly cointegrated VAR models are also applied instead of relying on standard Granger causality tests which are inappropriate in the presence of nonstationary variables.     

Bayesian inference in time series models using kernel quasi likelihoods

The paper takes up Bayesian inference in time series models when essentially nothing is known about the distribution of the dependent variable given past realizations or other covariates. It proposes the use of kernel quasi likelihoods upon which formal inference can be based. Gibbs sampling with data augmentation is used to perform the computations related to numerical Bayesian analysis of the model. The method is illustrated with artificial and real data sets.     

Groves mechanisms and communication externalities

We put forward a model of private goods with externalities. Agents derive benefit from communicating with each other. In order to communicate they need to operate on a common platform. Adopting new platforms is costly. We first provide an algorithm that determines the efficient outcome. Then we prove that no individually rational and feasible Groves mechanism exists. We provide sufficient conditions that determine when an individually rational Groves mechanism runs a deficit and we characterize the individually rational Groves mechanism that minimizes such deficit whenever it occurs. Moreover, for 2-agent economies, we single out the only feasible and symmetrical Groves mechanism that is not Pareto dominated by another strategy-proof, feasible and symmetrical mechanism.     

Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML

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 Neural Networks (ANNs) and the method of Limited Information Maximum Likelihood (LIML). The validity of the proposed approach is illustrated by fitting it to a large US data set for all commercial banks in the 1989–2000 time span. Meanwhile, we compare the proposed approach to the single-equation Translog output distance function and the proposed approach was found to yield very satisfactory results, while dealing with the issue of the endogeneity of outputs.     

Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming

This paper proposes an econometric framework for joint estimation of technology and technology choice/adoption decision. The procedure takes into account the endogeneity of technology choice, which is likely to depend on inefficiency. Similarly, output from each technology depends on inefficiency. The effect of the dual role of inefficiency is estimated using a single-step maximum likelihood method. The proposed model is applied to a sample of conventional and organic dairy farms in Finland. The main findings are: the conventional technology is more productive, ceteris paribus; organic farms are, on average, less efficient technically than conventional farms; both efficiency and subsidy are found to be driving forces behind adoption of organic technology.     

Quantifying and explaining parameter heterogeneity in the capital regulation-bank risk nexus

By examining the impact of capital regulation on bank risk-taking using a local estimation technique, this paper attempts to quantify for the first time the heterogeneous response of banks towards this type of regulation in banking sectors of western-type economies. Subsequently, using this information, we examine the sources of heterogeneity. The findings suggest that the impact of capital regulation on bank risk is very heterogeneous across banks and the sources of this heterogeneity can be traced into both bank and industry characteristics, as well as into macroeconomic conditions. An important implication of the findings is that common capital regulatory umbrellas are not sufficient to promote financial stability, especially if they are not accompanied by supervisory effectiveness. On the basis of our findings, we contend that more focus should be placed on the actions needed to restrain excessive risk-taking of banks.     

The Abrams curve of government size and unemployment: evidence from panel data

This study investigates the long run relationship between government size and unemployment rate, the Abrams curve, using ten European countries over the period 1961–1999. To this end, panel cointegration analysis and estimation techniques appropriate for heterogeneous panels are made use of. The results support the idea that there is an Abrams curve, and the relation between government size and the unemployment rate is positive.