Journal•ISSN: 0895-562X
Journal of Productivity Analysis
Springer Science+Business Media
About: Journal of Productivity Analysis is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Productivity & Data envelopment analysis. It has an ISSN identifier of 0895-562X. Over the lifetime, 1069 publications have been published receiving 63196 citations.
Topics: Productivity, Data envelopment analysis, Inefficiency, Total factor productivity, Production (economics)
Papers published on a yearly basis
Papers
More filters
TL;DR: In this article, a stochastic frontier production function model for panel data is presented, for which the firm effects are an exponential function of time, and the best predictor for the technical efficiency of an individual firm at a particular time period is presented for this timevarying model.
Abstract: Frontier production functions are important for the prediction of technical efficiencies of individual firms in an industry. A stochastic frontier production function model for panel data is presented, for which the firm effects are an exponential function of time. The best predictor for the technical efficiency of an individual firm at a particular time period is presented for this time-varying model. An empirical example is presented using agricultural data for paddy farmers in a village in India.
2,884 citations
TL;DR: In this paper, a metafrontier production function model for firms in different groups having different technologies is presented, which enables the calculation of comparable technical efficiencies for firms operating under different technologies.
Abstract: This paper presents a metafrontier production function model for firms in different groups having different technologies. The metafrontier model enables the calculation of comparable technical efficiencies for firms operating under different technologies. The model also enables the technology gaps to be estimated for firms under different technologies relative to the potential technology available to the industry as a whole. The metafrontier model is applied in the analysis of panel data on garment firms in five different regions of Indonesia, assuming that the regional stochastic frontier production function models have technical inefficiency effects with the time-varying structure proposed by Battese and Coelli ( 1992).
1,133 citations
TL;DR: In this article, the authors define a statistical model allowing determination of the statistical properties of the nonparametric estimators in the multi-output and multi-input case, and provide the asymptotic sampling distribution of the FDH estimator in a multivariate setting and of the DEA estimator for the bivariate case.
Abstract: Efficiency scores of firms are measured by their distance to an estimated production frontier. The economic literature proposes several nonparametric frontier estimators based on the idea of enveloping the data (FDH and DEA-type estimators). Many have claimed that FDH and DEA techniques are non-statistical, as opposed to econometric approaches where particular parametric expressions are posited to model the frontier. We can now define a statistical model allowing determination of the statistical properties of the nonparametric estimators in the multi-output and multi-input case. New results provide the asymptotic sampling distribution of the FDH estimator in a multivariate setting and of the DEA estimator in the bivariate case. Sampling distributions may also be approximated by bootstrap distributions in very general situations. Consequently, statistical inference based on DEA/FDH-type estimators is now possible. These techniques allow correction for the bias of the efficiency estimators and estimation of confidence intervals for the efficiency measures. This paper summarizes the results which are now available, and provides a brief guide to the existing literature. Emphasizing the role of hypotheses and inference, we show how the results can be used or adapted for practical purposes.
1,099 citations
TL;DR: In this article, a non-parametric linear programming approach for the calculation of a Malmquist productivity index was developed, which is applied to the case of Swedish pharmacies, in order to calculate the productivity index.
Abstract: In this article we develop a non-parametric (linear programming) approach for calculation of a Malmquist (input based) productivity index. The method is applied to the case of Swedish pharmacies.
878 citations
TL;DR: The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA).
Abstract: The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA). The state of development of DEA is characterized at four points in time to provide a perspective in both directions—past and future. An evolution map is provided which illustrates DEA growth during the 17-year period, the timing of the major events, and the interconnections and influences between topics. An extensive DEA bibliography is provided.
836 citations