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EN
In this paper the results of studies of personal incomes changes are presented for years 1998 to 2011. The studies were based on the micro-data regarding families and households. Among others it was showed that concentration of individual incomes dropped during the period of 1998 to 2011. The opposite trends of changes of income inequalities for households and individuals were observed.
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EN
A method first used to search for events leading to the changes of sizes of major US, UK, and world cities is applied to investigate the presence of events influencing incomes of commercial companies. Top 100 US companies from the period of 1955-2005 are analyzed. Distributions of incomes are found to be stable but the changes in rank positions of companies lead to discovery of some instabilities. Parameters describing changes in the rank positions are calculated, discussed, and compared to the results of previous studies.
EN
Classification trees included in SQL Server 2008R2 Analysis Services package have been used to classify Polish households based on their incomes. The analysis has been performed by means of the three algorithms and their effectiveness has been measured. Using the best algorithm a groups of households with the lowest and the largest incomes have been distinguished. The most important attributes describing households with the lowest and the largest incomes were identified and discussed.
EN
In this paper we study dependencies between distributions of personal and households incomes in Poland in 2000 to 2010. For example, the distributions of households incomes in the USA can be obtained by a convolution of distributions of personal incomes of family members. As was derived from our previous studies for 2004, there is no such a simple dependency in Poland. In principle, there is a very little knowledge about a type of relationship between those incomes in Poland. In the case of the USA personal incomes of family members are probably independent of each other. On the other hand, those variables are for sure dependent for Poland. In this paper we study personal and households incomes in Poland, their changes in time and their mutual relationship. Incomes distributions have been described by the three-parameter Dagum function.
EN
Smart metering is a topic that recently has attracted much attention all over the world. Smart metering appears to be a remedy for rising prices of electricity, gas or water. The evidence from many project running in Europe and the USA showed that this technology is technically feasible and can generate the value added for the households and suppliers. In this paper we aim to systematize the knowledge of smart metering solutions, point out the benefits of smart metering and present a short overview of the SMEPI project led by Vedia S.A. in cooperation with GridPocket and SGGW.
EN
In this paper authors want to find out what is the role of information in the process of management, costs simulations and yields taking into account agricultural products. The study concerns Agrokoszty which is the Polish system of agriculture data collection. The authors want to exhibit how data is collected, the way in which it is validated and evaluate how helpful this data is in the decision management process. The technical aspects of the data collection system and the practical use of this data were additional elements taken into account.
EN
Due to dynamic development of e-learning tools, which are available on the commercial and non-commercial market, e-learning is today a common and valued form of supporting the learning process. To achieve some cognitive objectives, for example to visualize the structures or patterns, it is very effective to use techniques like interactive presentations. A particularly useful function of the presentation enforcing student's interest is the Hot Spot. This activity is available within a non-commercial tool environment - Xerte. The present publication focuses on the benefits and educational opportunities of this environment. In particular, the authors share their experiences of the Hot Spot activity creation in three different variants. The publication describes, in a comprehensive and detailed way, the creation of Hotspots, saving presentations in SCORM format as well publishing presentations on e-learning platform Moodle.
EN
Research background: Studies of the structures of the income distributions have been performed for about 15 years. They indicate that there is no model which describes the distributions in their whole range. This effect is explained by the existence of different mechanisms yielding to low-medium and high incomes. While more than 97% of the distributions can be described by exponential or log-normal models, high incomes (about 3% or less) are in agreement with the power law. Purpose of the article: The aim of this paper is an analysis of the structure of the household income distributions in Poland. We verify the hypothesis about two-part structure of those distributions by using log-normal and Pareto models. Methods: The studies are based on the households? budgets microdata for years 2004?2012. The two-component models are used to describe the income distributions. The major parts of the distributions are described by the two parametric log-normal model. The highest incomes are described by the Pareto model. We also investigate the agreement with data of the more complex models, like Dagum, and Singh-Madalla. Findings & Value added: One has showed that two or three parametric models explain from about 95% to more than 99% of income distributions. The poorest agreement with data is for the log-normal model, while the best agreement has been obtained for the Dagum model. However, two-part model: log-normal for low-middle incomes and Pareto model for the highest incomes describes almost the whole range of income distributions very well.
EN
Application of simple prescriptions of technical analysis on the Warsaw Exchange Market (GPW) has been analyzed using several stocks belonging to WIG20 group as examples. Only long positions have been considered. Three well-known technical-analysis indicators of the market have been investigated: the Donchian channels, the Relative Strength Index, and Moving Average Convergence-Divergence indicator. Optimal values of parameters of those indicators have been found by „brute force“ evaluation of (linear) returns. It has been found that trading based on both Donchian channels and Relative Strength Index easily outperform the „buy and hold“ strategy if supplied with optimal values of parameters. However, those optimal values are by now means universal in the sense that they depend on particular stocks, and are functions of time. The optimal management of capital in the stock market strongly depends on the time perspective of trading. Finally, it has been argued that the criticism of technical analysis which is often delivered by academic quantitative financial science is unjustified as based of false premises.
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