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AN ECONOMETRIC ANALYSIS OF THE RELATIONSHIP BETWEEN HOME LOAN INTEREST RATES AND THE DEMAND AND SUPPLY OF HOMES IN THE RIGHT-BANK PART OF SZCZECIN IN THE YEARS 1995-2005

100%
Pechorzewski D.
Przegląd Statystyczny
|
2007
|
vol. 54
|
issue 2
56-62
EN
The article presents the relationship between home loan interest rates and the demand and supply of homes in the right-bank part of Szczecin in the years 1995-2005. Demand and supply in the homes market for the years 2006-2007 were also forecast. The paper finishes with conclusions.
2
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Recognition of Households Consumption Preferences' Profiles

80%
Kuszewski T., Sokolinska A., Zakrzewska K.
Roczniki Kolegium Analiz Ekonomicznych
|
2007
|
vol. 17
19-40
EN
This article shows the results of the households' income and expenditures analysis. Special attention was given to the relation between food and alcohol-free beverages in general expenditures and social-demographic characteristics. Three criteria of households' division were introduced. The households were divided according to the main source of maintenance, according to number of members in the household, according to the economic situation. As a result of these steps we got 18 households subsets. For each subset the linear econometric models were estimated and verified. These models illustrate the Engel's Law. In the next step of analysis the classification rules were generated with use of data mining techniques. Data mining analysis was made for the same subsets as previously econometric models. As an output we got the rules with economic interpretation, allowing for complement of households' characteristics resulting from research based on econometric techniques.
3

THREE APPROACHES TO THE ANALYSIS OF COST FUNCTION IN HEALTH CARE

70%
Dlouhý M., Flusserová L.
Ekonomický časopis (Journal of Economics)
|
2007
|
vol. 55
|
issue 1
59-78
EN
In this paper, we describe three methods of the cost-function analysis in a health care: classical econometric analysis, frontier analysis, and survivor analysis. The strength of a classical econometric analysis is a highly developed methodology of hypothesis testing; the weakness is that it is necessary to deal with many problems related to estimation technique, such as multicollinearity, autocorrelation, heteroscedasticity, etc. The strength of the stochastic frontier analysis is that it incorporates the random shocks in efficiency evaluation; on the other hand, the strong assumptions about the distribution of efficiency have to be made. The advantages of survivor analysis are its simplicity and the possibility to include the factors that are otherwise hard to measure; the disadvantages are the application only in the long-term studies, and the provision of no specific information on the character of cost function in the studied industry. The different methods have strengths and weaknesses and the choice of the appropriate method depends on the objective of the study.
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