International Journal of Economics and Statistics

ISSN: 2309-0685
Volume 6, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 6, 2018

Title of the Paper: NoQueue, a Crowdsourcing Queue Management Application


Authors: C. E. Stoica, L. A. Toader, G. V. Stoica

Pages: 46-51

Abstract: Crowdsourcing is a form of collaboration evolved under Web 2.0 that helps in finding efficient solutions to current problems by public participation of actors, i.e. crowd, using mass spread technologies as Internet, mobile devices, social media. In this paper we analyze the challenges that a crowdsourcing developer faces and we propose a solution for the queue management problem based on the NoQueue application.

Title of the Paper: A Performance Comparison Study with Information Criteria for MaxEnt Distributions


Authors: Ozer Ozdemir, Aslı Kaya

Pages: 40-45

Abstract: In statistical modeling, the beginning problem that has to be solved is the parameter estimation of the empirical distribution which fits the data appropriately, and then decision can be given by making goodness of fit test or using error measures to determine the accuracy of the predicted model. One of the frequently used measures for such purposes is Mean Square Error (MSE) which formula is defined as the difference between the actual observations and the response predicted by the model and is used to determine with how much error the model fit the data, Root Mean Square Error (RMSE), Mean Absolute Proportion Error (MAPE) etc. measures can be also used for the similar aims. According to this information; firstly, a simulation study is prepared. Then, maximum entropy (MaxEnt) distributions for the error distribution of data is demonstrated and the best fitted distribution is found based on the information criterion.

Title of the Paper: When Statistics and Management Meet - Consumers' Attitudes Towards the Communication of Sports Brands in Social Networks


Authors: Helena Sofia Rodrigues, Álvaro Cairrão, Cristina Ponte

Pages: 34-39

Abstract: The large number of users of different social networks makes them a key channel of approach, interactivity and sharing between consumers and brands. The increasing access and use of social networks brought challenges in communication and marketing strategies. The present investigation proposed to analyze and understand the opinions of consumers regarding the communication of sports brands in social networks and also to evaluate its impact on their purchase intentions and recommendation. The data collected allowed to conclude that the formation of a favorable attitude by consumers towards the communication of sports brands in social networks should be based on informative, relevance of contents, and credible communication created in an entertainment context. This positive attitude towards brands has favorable repercussions in the buyers’ intention and recommendation.

Title of the Paper: Statistical Relationship Between Workplace Well-Being and Productivity


Authors: Ilona Cserháti, Tibor Keresztély, Tibor Takács

Pages: 25-33

Abstract: The paper focuses on the relationship between workplace well-being and productivity in the European countries. The so called Oaxaca decomposition technique has been chosen to verify the hypothesis of positive relationship and to quantify how the job-satisfaction may increase the productivity in the different European regions. The developed market economies are considered according to the four main social models (Anglo-Saxon, Nordic, Mediterranean and continental countries), while three groups of transition economies are distinguished (Baltic, Middle and South-Eastern European countries). It has been found that workplace well-being have a relevant impact on productivity in the European economies, but the strength of this impact show a positive correlation with the development level. Also a supplementary calculation is presented indicating that the impact is relevant both in the developed market economies and in the less developed transition economies.

Title of the Paper: Generating a Highlight Moments Summary Video of an Political even Using Social Media Speech Sentiment Analysis Ontologies


Authors: Mehdi Abid, Benayad Nsiri, Yassine Serhane

Pages: 19-24

Abstract: Numerous viewers choose to watch political or presidential debates highlights via TV or internet, rather than seeing the whole debate nowadays, which requires a lot of time. However, the task of making a debate summary, which can be considered neutral and does not give out a negative nor a positive image of the speaker, has never been an easy one, due to personal or political beliefs bias of the video maker. Our study came up with a solution that generates highlights of a political event, based on twitter social network flow. We used twitter streaming API to detect an event's tweets stream using specific hashtags, and detect on a timescale the extreme changes of volume of tweets which will determine the highlight moments of our video summary at first, then we set up a process based on a group of ontologies that analyze each tweet of these moments to calculate the sentimental score of each, then classify those moments by category (positive, negative or neutral).

Title of the Paper: Conceptual Model Mathematical as a Strategy for Learning in Students of Initial Levels of the Careers of Science of Engineering


Authors: Ives Torriente, Arlys Lastre, Eliane Fernández

Pages: 14-18

Abstract: In the present investigations the authors show an application scheme of the mathematical models in the resolution of problems of the engineering sciences is presented through research projects that contribute to the development of the mathematical knowledge of the first level students of engineering science. In the study the authors show the application of numerical methods such as linear interpolation, Lagrange polynomial interpolation and regression models through Statgraphics software for electromechanical engineers. These tools are expressed in the resolution of problems of low complexity and allow establishing evaluation criteria to the students on the importance of the study of the mathematics for the professional formation in the area of the engineering. The use of numerical methods tools for solving practical problems in first-level students of engineering science careers develops critical analytical skills and strengthens them in the use of computational sciences for electromechanical engineering

Title of the Paper: Analysis of Factors Affecting the Technical Efficiency: A Case Study


Authors: Md. Moyazzem Hossain, Ajit Kumar Majumder

Pages: 10-13

Abstract: The measurement of the production efficiency in agricultural production is very important since it gives useful information for making decisions, resource allocations, and for formulating agricultural policies and institutional improvement. This paper attempts to estimate the individual banana farmer’s technical and scale efficiency in Kushtia district of Bangladesh by input and output-oriented Data Envelopment Analysis (DEA) model considering the variable returns to scale (VRS) assumption. The result specifies that the average technical efficiency (TE) and scale efficiency (SE) for banana farmers in Kushtia district is about 87% and 97% respectively for both input and output oriented VRS. Also, Tobit regression shows the variation of TE is related to farm-specific attributes such as age, experience, education of farmers and firm size. All of these factors provide a positive impact on farmer’s efficiency. Therefore, this study suggests that the existing inefficiency may be reduced through training, policy interventions, adoption and spread of improved agricultural mechanization.

Title of the Paper: Incentive-Based Demand Response: A Rebate-Based Design


Authors: Nhat-Vinh Vo, Klaus Frank, Josef Haunschmiedy, Raimund Kovacevicz, Georg Panholzer

Pages: 1-9

Abstract: In future power grids, the high penetration with Renewable Energy Resources (RES) will be a big challenge. The problem is not the high RES contribution per se, but even desirable in order to make a decisive contribution to climate protection through CO2-neutral power generation. The problem lies in particular in the fact that power stations based on fossil fuels in current electricity networks are stabilizing factors and sources of operational flexibility. In future electricity grids, new sources of flexibility must be tapped - not only at the generation but also on the side of demand, e.g. through Demand Side Management (DSM). Various approaches are divided into direct and indirect control methods. In this paper, we present a model class of Incentive-based Demand Response (IbDR), where the power consumption of household coalitions is indirectly controlled by rebates on electricity bills. We apply the theory of (convex) cooperative games to design IbDR events that promote cooperative behavior of households. In particular, the methods are designed so that the use of storage (batteries) are very beneficially integrated. We have developed a simulation tool MASim that simulates electricity consumptions of households. Using MASim we carried out numerical experiments, which show the functionality of our proposed IbDR method. In field studies, we developed the ICT and tried out how batteries can be controlled within the scope of our proposed IbDR schemes.