On the influence of model setting on stochastic frontier analysis

Staňková, Michaela; Hampel, David

doi:10.1002/mma.6730

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…In this respect, the differences between the TD models and the "true" models became apparent. Here it is possible to refer to the results of Staňková and Hampel (2020), where it was demonstrated on the basis of correlation coefficients that the TD models estimated by them usually had a weak correlation with the results of "true" models.…”

Section: Discussionmentioning

confidence: 99%

Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches

Staňková¹

2020

Acta Univ. Agric. Silvic. Mendelianae Brun.

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This article deals with the development of technical (production) efficiency in the metallurgical industry in EU countries with an emphasis on the situation in the Czech Republic. The efficiency of individual countries was estimated for the period from 1995 to 2015. The parametric stochastic frontier analysis method with different settings was chosen to estimate efficiency and the results were verified using a competitive non-parametric data envelopment analysis method. It was found that during the period under review, there was an average increase in efficiency in the metallurgical industry. The largest increase in efficiency (confirmed by all types of models) was observed in the Czech Republic. A visible positive efficiency shift was also recorded in Spain and Greece. Surprisingly, there has been a decline in efficiency in Sweden and Italy.

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Section: Discussionmentioning

confidence: 99%

Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches

Staňková¹

2020

Acta Univ. Agric. Silvic. Mendelianae Brun.

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“…Efficiency is an important issue in the performance management of public higher education. The more efficient the performance, the better the ability to produce an output with fewer inputs (Staňková & Hampel, 2021). The analysis of efficiency also describes past economic performance and future policy directions (Lewis & Dundar, 1999;Sav, 2016).…”

Section: Introductionmentioning

confidence: 99%

Efficiency in Indonesian Higher Education: Different Governance Leads to Different Performance

2023

JHETP

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This study aims to analyze cost efficiency's performance when producing university outputs from 45 public universities in Indonesia. A stochastic cost frontier multiproduct with six key performance indicators and annual public spending was used as the output and input for the analysis. This study finds that cost efficiency's score is high, compared to one in a previous study. Higher education using the Public Service Agency management pattern has the highest efficiency score compared to establishments with Work Unit and Legal Entity management patterns. This study has several implications; first, the need for effective management patterns; second, the re-evaluation of the privatization policy; and third, improvement in education's output or input.

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“…A multiple regression model is used to determine the possible statistical significance of the potential factors influencing sales, similar to [12] and [13]. The t-test is used to verify the statistical significance of the individual model parameters, and the F-test to verify the significance of the model itself like in [14]. When verifying the model, attention is paid to the most common problems, see [15].…”

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Determinants of Electric Car Sales in Europe

Kovárník

Staňková

2021

LOGI – Scientific Journal on Transport and Logistics

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This article deals with determining statistically significant factors affecting the sale of battery electric vehicles in different European countries. Typical representative countries were selected on the basis of cluster analysis. The input data for multiple regression models and vector autoregressive models include data for the last decade and thus essentially cover the complete history of the electric car market. Attention is paid not only to the European leader but also to countries with a lower share of electric cars. The results of this study show the existence of a common factor in the countries with different development trends in the battery electric vehicle market. However, differences among individual countries are generally so significant that the identified factors vary from country to country.

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On the influence of model setting on stochastic frontier analysis

Cited by 5 publications

References 21 publications

Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches

Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches

Efficiency in Indonesian Higher Education: Different Governance Leads to Different Performance

Determinants of Electric Car Sales in Europe

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