<abstract xmlns="http://www.w3.org/1999/xhtml">

The main objective of this paper is to investigate the nonparametric estimation of the conditional density of a scalar response variable <italic>Y</italic>, given the explanatory variable <italic>X</italic> taking value in a Hilbert space when the sample of observations is considered as an independent random variables with identical distribution (i.i.d) and are linked with a single functional index structure. First of all, a kernel type estimator for the conditional density function (<italic>cond-df</italic>) is introduced. Afterwards, the asymptotic properties are stated for a conditional density estimator when the observations are linked with a single-index structure from which one derives a central limit theorem (CLT) of the conditional density estimator to show the asymptotic normality of the kernel estimate of this model. As an application the conditional mode in functional single-index model is presented, and the asymptotic (1 – ζ) confidence interval of the conditional mode function is given for 0 &lt; ζ &lt; 1. A simulation study is also presented to illustrate the validity and finite sample performance of the considered estimator. Finally, the estimation of the functional index via the pseudo-maximum likelihood method is discussed.
</abstract>

Statistics Laboratory Stochastic Processes

University Djillali LIABES of Sidi Bel Abbes

Asymptotic Normality of Conditional Density and Conditional Mode in the Functional Single Index Model

<abstract xmlns="http://www.w3.org/1999/xhtml">

Frequentists and Bayesians disagree about the soundness of performing calculations based, in an important part, on prior information. The disagreement goes back to a basic philosophical disagreement about how to conceptualize the meaning of probability. As frequentists and Bayesians use the term differently, there is a basic philosophical incommensurability. However, this philosophical incommensurability need not imply an empirical incommensurability. It is possible for there to be, simultaneously, philosophical incommensurability and empirical commensurability. This possibility implies consequences that this article discusses.
</abstract>

Philosophical or Empirical Incommensurability of Frequentist Versus Bayesian Thinking

<abstract xmlns="http://www.w3.org/1999/xhtml">

The paper proposed a simulation method for determining the weights of components of taxonomic measures. The method takes into account the degree of similarity of the final ranking to other rankings and other properties, e.g. the clustering ability of the measure. The analyses were performed on publicly available data published by the General Statistic Office, concerning selected characteristics of the labour market in Poland at the level of subregions. The results obtained by the proposed method depend on the initial set of weights vectors. Due to the fact that the proposed method does not provide an invariant solution for a given data set, the stability of the rankings obtained using this method was assessed. There was high consistency in the orderings of objects obtained in the consecutive repetitions of the procedure.
</abstract>

A Proposal of Data – Driven Method for Determining the Weights of Composite Indicators

<abstract xmlns="http://www.w3.org/1999/xhtml">

The article is dedicated to the evaluation of the formal preparation of universities for international mobility. In order to perform the analysis, the authors used the results of the quantitative primary research conducted in the Stranger project of the Erasmus + strategic partnership. The target group included employees (administrative staff and academic teachers) from universities in Poland, Greece, Hungary and Ukraine that form the partnership. To make it possible for respondents to answer closed-ended questions, summative scales were created. The study examined correlation relationships between the respondents’ answers aggregated to summative scales, and also strived to classify the respondents in terms of the obtained values for summative scales using hierarchical cluster analysis (Ward’s method). The results of the analyses showed the existence of many problems in the field of broadly understood internationalization of universities, and also indicated a significant differentiation of evaluations due to respondents’ characteristics.
</abstract>

Wroclaw University of Economics and Business

Evaluation of Formal Preparation of Universities for International Mobility. Results of Questionnaire Research Conducted Among Employees

<abstract xmlns="http://www.w3.org/1999/xhtml">

The aim of the work is to examine how the role of universities in the public procurement market and in public-private partnership is perceived by both the contracting authorities and the contractors. It was verified whether the entities participating in public procurement and public-private partnership see the need for cooperation with universities, and whether there is a link between the declared need for cooperation and the assessment of real actions taken or provided by universities. The work is based on a survey conducted between March and May 2020 among 520 institutions representing contractors and procurers in public procurement. The highest evaluation was given to the activities of public universities in the field of public procurement and public-private partnership in Lubuskie and Śląskie (opinion of procurers) and Lubelskie and Warmińsko-Mazurskie (opinion of contractors). With the use of logistic regression models it was verified that there is a positive relation between the evaluation of the university’s activities and the declared need for cooperation between the university and the analysed entity.
</abstract>

Evaluation of the Perception of Universities’ Role in the Public Procurement Market

<abstract xmlns="http://www.w3.org/1999/xhtml">

In recent years, the evaluation of research conducted in European universities has become a significant problem. The growing concern for the quality and evaluation of research conducted at universities highlights the importance of university rankings, especially global rankings. The aim of the paper is to identify the network system of Polish universities of economics among their European counterparts belonging to the same networks, and indicate the positions of Polish universities within these networks. The study used a network approach to analyse the connections of European universities using university networks. The networks enable the visualization of complex, multidimensional data and provide statistical indicators for interpreting the resultant graphs. The analysis is exploratory in its nature and uses visualisation techniques of social network analysis (SNA), multidimensional scaling (MDS), principal component analysis (PCA), and Eigen-model network analysis (ENA). The analysis covered 150 universities of economics in Europe and 11 university networks. Network analyses were performed with the R program. The paper presents different methods that allowed for the identification of network systems of Polish economic universities within the networks of European universities. An analysis of the social networks based on network indicators was also included.
</abstract>

miroslawa.sztemberg-lewandowska@ue.wroc.pl

Polish Universities of Economics in European Networks

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Econometrics

 The Econometrics journal has been published continuously since 1998. Starting from the first issue, Józef Dziechciarz has been an Editor-in-Chief of the journal. Until 2011, the journal was issued in the series of Academic Research Papers at the Wrocław University of Economics as Econometrics. Applications of quantitative methods. Since 2009, four issues have been published annually. It enables the introduction of regular quarterly release cycle. The Econometrics is published in English. The Scientific Council of our journal also includes professors affiliated with foreign institutions. The list of scientific reviewers includes eminent scientists from both home and abroad. Among the authors of the publications are both scientists from Polish academia, as well as many scientists from foreign universities. High level of scientific works, our confidence and insightful comments from reviewers contribute to the publication of valuable articles and dissemination of national scientific achievements. Until the end of 2017, fifty eight issues of the journal were published.  The subject area of the published articles covers theoretical and practical aspects of the methods of econometrics, statistics and mathematics. The domain of applications of these methods covers wider economic issues, including macro and microeconomic analyses; statistical and econometric analysis and modeling market data, as well as capital investment and insurance problems. Social and demographic analyses cover the issues of education, employment and unemployment, poverty, etc. Many studies have cyclical character, published articles show long-term results of research, include a scientific discussion with the reviewers suggestions formulated on the basis of earlier works. This allows to track the progress of scientific research, and the publications appearing in the Econometrics journal are an inspiration to undertake new research challenges.  econometrics.ue.wroc.pl/　   The Econometrics journal is indexed in Google Scholar and details on the citations can be found on Google Scholar Citations.  Also find us at:   Index Copernicus  Erih Plus    Why subscribe and read The Econometrics is a scientific journal that promotes both theoretical aspects of mathematical, statistical and econometric methods as well as application possibilities. It focuses on the presentation of new and modernization of well-known methods as well as their adaptation in economy, business processes and social sciences in a very broad meaning. Due to the fast publishing production, the presented articles refer to the latest research, papers are always up-to-date, original, scientific, never printed before in other scientific journals. The Econometrics is the place of interdisciplinary debate with the participation of economists and statisticians.  Why submit The journal offers a fast, honest and constructive review, carried out in the double blind review process. After acceptance, an article is evaluated by a native speaker and a statistics editor. After acceptance, the publication process is very fast.The Econometrics journal belongs to the group of magazines that are constantly highly rated and enjoy a good reputation among authors and reviewers.  Rejection Rate   32%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 