Special Issue "Nonparametric Econometric Methods and Application"
A special issue of Journal of Risk and Financial Management (ISSN 1911-8074).
Deadline for manuscript submissions: 31 March 2019
An area of very active research in econometrics over the last 30 years has been that of non- and semi-parametric methods. These methods have provided ways to complement more-traditional parametric approaches in terms of robust alternatives, as well as preliminary data analysis. The field has expanded with important advances both in time series and cross sectional frameworks and more recently in panel data settings, allowing for data driven flexibility that has proved invaluable to applied researchers. The methodology has been enhanced by software developments that have made these methods easy to apply, somethings that has opened up a variety of potentially important and relevant applications in all areas of economics, microeconomics, macroeconomics and economic growth, finance, labor, etc. The present Special Issue aims at collecting a number of new contributions both at the theoretical level, as well as in terms of applications. We hope that this collection of papers will add to this important literature, both at the theoretical and empirical level including areas, such as local smoothing techniques, splines, series estimators, and wavelets.
Prof. Dr. Thanasis Stengos
Manuscript Submission Information
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- Nonparametric methods
- Semiparametric methods
- Local smoothers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Evaluation of economic and social development in EU28 member states by DEA efficiency.
Abstract: Data Envelopment Analysis (DEA) methodology has been used for comparison of the dynamic efficiency of the European countries over the last decade. Moreover, efficiency analysis determines where the resources are distributed in an efficient way and/or have been used efficiently/inefficiently pursuant to factors of competitiveness extracted from Factor Analysis. DEA measures numerical grades of efficiency scores of economical processes within evaluated countries, and therefore it becomes a suitable tool for setting an efficient/inefficient position of each country. DEA is applied to all 28 EU countries to evaluate technical and technological efficiency within the selected factors of competitiveness based on Country Competitiveness Index in the 2000-2015 period. The main aim of the paper is to measure the efficiency changes over the reference period and to analyse the level of productivity in individual countries based on the Malmquist Productivity Index (MPI). Empirical results confirm significant economic development disparities among European countries and selected periods 2000-2007, 2008-2011 and 2012-2015. The conclusion offers a comprehensive comparison and discussion of results obtained by MPI that indicate in which EU country should be policy-making authorities in order to stimulate national development and provide more quality of life to the EU citizens.
Keywords: Competitiveness, DEA, Efficiency, European Union, Factors, Malmquist Productivity Index.
JEL Classification: C61, C67, E61, O11, O52, Y10