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EN
The disabled people in Poland are that part of labour force that has not been appreciated enough. Despite the fact that in the recent years the number of the disabled Poles who found employment has risen, their employment rate is still rather low. The majority of them (83% in 2010) are absent on the job market. The aim of the paper is to investigate how gender, place of residence, education, age and disability severeness affect the economic inactivity of the disabled and what impact their gender, place of residence and disability severity had on the likelihood of the reason for the inactivity. The author used the Polish Central Statistical Office data concerning the 4th quarter of 2010. The data were analysed by means of the logistic regression model for the dependent dichotomous variable as well as the multinomial logistic regression model. The estimated parameters helped to determine the inactivity risk quotient in relation to economic activity. They also permitted to calculate the probability of the disabled people's economic inactivity due to a particular reason.
EN
This paper deals with the primary causes of informal housing in Greece as well as the observed differentiations in informal housing patterns across space. The spatial level of analysis is the prefectural administrative level. The results of the multinomial logistic regression analysis indicate that Greek prefectures differ in the way they experience the informal housing phenomenon. An explanation for the observed differences may be the separate development paths followed and the diverse range of economic activities in each prefecture. The Greek state has not made provisions for creating the necessary ‘urban land stock’ in each prefecture, so that everyone interested can find land parcels at an affordable price. On the contrary, the state encourages the informal housing activity by legalizing large areas of such activity sporadically and by introducing legislative initiatives of limited success in dealing with the problem.
EN
The aim of the paper was to identify the determinants of the state of poverty using logistic regression. The analysis focused on economic poverty considered through the prism of income. Three states of poverty were considered: poverty, near poverty (household’s income from 100% to 125% of the adopted poverty threshold) and above near poverty (income higher than 125% of poverty threshold), using the ordinal logit model and – after the rejection of the proportional odds assumption – the multinomial logit model. The analysis was preceded by a presentation of the basic facts concerning three states of poverty. Based on the conducted analysis it can be stated that the education of the household's head, place of residence, labourforce status and socio-economic group were very important factors of the state of poverty, and they change the odds of being in above near poverty relative to poverty and the odds of being in near poverty relative to poverty.
PL
Metoda przepływów na rynku pracy w połączeniu z szacowaniem poziomu bezrobocia równowagi oraz wielomianowa analiza logitowa mogą posłużyć do rozwinięcia i uzupełnienia wnioskowania prowadzonego na podstawie klasycznych charakterystyk aktywności ekonomicznej ludności. Ich zastosowanie pozwala na dekompozycję zasobów pracy ze względu na wybrane cechy demograficzne i społeczno-ekonomiczne w odniesieniu do możliwości zmiany stanu aktywności ekonomicznej ludności oraz na określenie udziału składnika strukturalnego i cyklicznego w bezrobociu. Celem artykułu jest prezentacja możliwości wykorzystania metody przepływów na rynku pracy (IOA) i wielomianowej analizy logitowej do badania aktywności ekonomicznej ludności.
EN
Inflow-Outflow Analysis (IOA) combined with estimation of equilibrium unemployment and multinomial logistic regression can be used to develop and complete inference conducted on the basis of the classic characteristics of economic activity of population. Application of these methods let us decompose the labour resources according to the selected socio-economic traits in terms of possible changes in the state of economic activity of population, as well as assess the shares of structural and cyclical component of unemployment. The aim of the paper is to present the possibilities of using the Inflow-Outflow Analysis (IOA) and multinomial logistic regression in the research of economic activity of population.
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