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EN
In the article Link Analysis data mining method is described and discussed. The method enables to analyse various data which are represented as network. Using Link Analysis the traffic between Internet pages showing paths in Web log data or social dependencies between people can be investigated. Although the method possesses large potential, it is not yet widespread, well known and used. The method is well implemented in the SAS Enterprise Miner program, which the authors used. The results are presented in graphical form. Various charts with some statistical measures can be used. Charts can be modified by users. Clustering and scoring is possible with the use of this method. In the article the method is illustrated with an example analyzing financial condition of enterprises.
EN
Cluster analysis methods require the users to give the number of clusters in which they would like to group objects. Determination of the actual number of clusters is not easy and proves difficult. In the paper two methods are presented that are helpful in establishing the number of clusters: (1) CCC (Cubic Clustering Criterion) method based on comparison of expected R2 value for data coming from a uniform distribution with the R2 value observed in a sample and (2) the method which is based on quality measures of building clusters in case of fuzzy grouping of data. Both advantages and drawbacks of these methods and examples of their application are presented.
EN
The object approach was worked out within the framework of programming engineering and is widely used by information scientists for the needs of designing, programming and application of programming systems. The purpose of the article is to present the object approach as an approach which can be highly useful for economists and successfully used by them in the modelling and optimization.with respect to the costs, time, the use of resources, business processes realized in industrial, service and insurance enterprises, banks, administration. In the article the advantages of using the object approach in the modelling of business processes were stressed. Three programmes were briefly discussed, available on the Faculty of Economic Sciences: Rational Rose Enterprise Edition, ARIS and iGrafx Process, which enable the application of the object approach for the modelling and optimization of business processes..
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Households' Saving Mobility in Poland

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EN
In this paper we analyse the saving mobility of Polish households, e.g. the mobility of households between classes of different saving rates. The analysis is based on the household budget panel data of 3001 Polish households surveyed in the same month during four consecutive years. The panel sample group was selected by authors from 30 000 households surveyed by Polish Central Statistical Office each year. We apply the Markov mobility matrices. The long term ergodic structure of households with regard to saving rates is estimated. It illustrates the probability of a household to fall into one of the saving rates range. Our results show that during four consecutive years (1997-2000), one third of the households which saved less than 20% of the household disposable income remained in their class. In the class of households that saved more than 20% of the household disposable income half of the households kept these high saving rates. In the long term, the probability of falling into a group of households with lowest saving is 0.2. Groups falling into -20% to -5% and -5% to 5% saving rates would be the least numerous. The highest probability (0.3) was to get into a group that saved more than 20% of the household disposable income. It shows the tendency towards polarization of the households with regard to saving rates.
EN
The paper analyses the impact of income uncertainty on household saving. Using a panel of Polish households for 1997-2000 the authors decomposed uncertainty of household income into a variance of shocks to permanent income and a variance of shocks to transitory income. Then they regressed household's savings on the estimated measures of income uncertainty controlling for demographic and social variables. The empirical results indicate that the average variances of permanent and transitory income of the Polish households do not differ much. Both measures of income uncertainty are statistically significant in predicting savings. The permanent income uncertainty affects savings more than the uncertainty of transitory income. A significant part of of households' savings in Poland may be of precautionary, buffer-stock character.
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