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Modelowanie liczby szkód w ubezpieczeniach komunikacyjnych w przypadku występowania dużej liczby zer, z wykorzystaniem procedury kroswalidacji

100%
Wolny-Dominiak A.
Studia Ekonomiczne
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2013
|
vol. 124
115-129
EN
The problem in the analysis of insurance data is modeling the number of claims occurring in a given portfolio policy using regression assuming a Poisson distribution which is not always justified, since sometimes the data contains a large number of zeros. This paper presents a generalized Poisson regression for the counter variable and a modified version of Poisson regression taking into account the situation of the presence of a large number of zeros in the data (called zero-inflated Poisson regression). Various types were analyzed in order to determine which variables influence the occurrence tarification zeros in the portfolio policy using the procedure 10 times the patch validation. The result is ranking for classification policies because of the number of generated damage.
2
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Obowiązkowe ubezpieczenie odpowiedzialności cywilnej komorników sądowych w Polsce

100%
Wieteska S.
Studia Ekonomiczne
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2014
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vol. 198 cz 2
247-259
EN
In the free-market economy a lot of natural and legal persons have loans and liabilities. Many people and businesses have a hard time repaying loans and contracts. Appears very often bankrupt companies and consumer bankruptcy. A court executive officer (bailiff) has been called in order to enforce repayment of loans and commitments. Every bailiff is required to carry liability insurance. In this paper we assess the risk of this professional group, its social status, statistics of cases affecting and completed. We point to the vagueness and the sums guaranteed of compulsory insurance of civil liability. Critically evaluate the content of the Regulation of the Minister of Finance on compulsory insurance of civil liability of bailiffs.
3

Ubezpieczenia gospodarstw domowych

100%
Lisowski R.
Wiadomości Statystyczne. The Polish Statistician
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2001
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issue nr 12
46-59
XX
W artykule przedstawiono wyniki analizy statystycznej dotyczącej wydatków na ubezpieczenia w gospodarstwach domowych. Wykorzystano dane empiryczne, dostarczone przez GUS, dotyczące budżetów gospodarstw domowych w latach 1993-1998. Na podstawie zebranego zbioru danych empirycznych przeprowadzono modelowanie i prognozowanie rozwoju rynku ubezpieczeń majątkowych i osobowych.
4
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Przydatność prawdopodobieństwa subiektywnego do kalkulacji stóp składek w ubezpieczeniach obowiązkowych odpowiedzialności cywilnej zawodowej

100%
Wieteska S.
Studia Ekonomiczne
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2013
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vol. 154
124-134
EN
In the years 2003-2009 the several acts of law concerning obligatory insurance of various professional groups were created. Insurances protect these groups especially from errors that occur during performing work. The article presents the problem of difficulties in calculating the contribution rates as a result of lack of data. But in order to calculate the rate of contribution the article attempts to use of subjective probability.
5
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Finansowe implikacje decyzji ubezpieczeniowych gospodarstw domowych

80%
Znaniecka K., Szewieczek D., Ogrodnik H.
Studia Ekonomiczne
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2014
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vol. 198 cz 2
260-274
EN
Households which are the essential participants in the economic system, are also an important part of the real economy. Specific location and scale of the impact of households on the financial system supports the validity of a detailed analysis of the factors and determinants of household attitudes to risk and to insurance for both property and personal insurance. Decisions taken by the households in the area of insurance are often the result of risk-taking by members of the household, which is a non-economic conditionality, but deeper analysis shows that the dominant factor is the value of the income of the household members and the potential value of the losses that may arise both in estate property and personal goods of household members. Empirical studies conducted on a representative sample of households in the Silesia province indicated that often are concluded personal insurance, although the risk identification made by households is focused more on estate property. This means that the insurance protection of property household goods, despite the identification of risk is not sufficiently realized.
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