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Wyszukujesz frazę "Sączewska-Piotrowska, Anna" wg kryterium: Autor

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    Wyświetlanie 1-4 z 4
    Tytuł:
    Territorial division and income affluence – analysis using two-level logit models
    Podział terytorialny a zamożność dochodowa – analiza z wykorzystaniem dwupoziomowych modeli logitowych
    Autorzy:
    Sączewska-Piotrowska, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/424825.pdf
    Data publikacji:
    2018
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    two-level logit model
    multilevel modelling
    affluence
    income
    household
    Opis:
    The aim of the paper was to assess differentiation of the occurrence of households’ income affluence in Poland between subregions. An analysis was conducted using two-level logit models without explanatory variables (null model) and with explanatory variables at household level (random intercept model and random slope model). The variables were related to the characteristics of the household and its head. The conducted analysis allowed to state that the occurrence of affluence is differentiated between subregions in the null model as well as in the model with explanatory variables.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 4; 65-78
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determinants of the state of poverty using logistic regression
    Autorzy:
    Sączewska-Piotrowska, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/434092.pdf
    Data publikacji:
    2018
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    state of poverty
    ordinal logistic regression
    multinomial logistic regression
    poverty threshold
    household's income
    Opis:
    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.
    Źródło:
    Śląski Przegląd Statystyczny; 2018, 16 (22); 55-68
    1644-6739
    Pojawia się w:
    Śląski Przegląd Statystyczny
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Near poverty – definition, factors, predictions
    Sfera blisko ubóstwa – definicja, czynniki, prognozy
    Autorzy:
    Sączewska-Piotrowska, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/424841.pdf
    Data publikacji:
    2016
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    near poverty
    poverty transitions
    the Markov chain model
    Shorrocks' mobility index
    logistic regression
    Opis:
    The aim of the paper was to analyse near poverty in Poland. The first specific aim was to analyse the transitions into and out of near poverty in Poland using the Markov transition matrix. Three poverty states were considered: poverty, near poverty (an income of between 100 and 125 per cent of the poverty threshold is assumed in the paper) and above near poverty. The analysis was conducted for Poland based on the balanced panel from 2009 to 2015, the framework of the “Social Diagnosis” project. The second specific aim was to determine the factors that increase and decrease the odds of being in near poverty using bi-nomial logistic regression.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2016, 4 (54); 82-94
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Poverty duration of households of the self-employed
    Autorzy:
    Sączewska-Piotrowska, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/425022.pdf
    Data publikacji:
    2015
    Wydawca:
    Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
    Tematy:
    Kaplan-Meier estimator
    log-rank test
    poverty duration
    Opis:
    This study is one of the first attempts to discover how long households in Poland remain in poverty (out of poverty) and whether the time spent in poverty (out of poverty) depends on the socio-economic group of household. The analysis is conducted using panel data collected in the project ”Social Diagnosis” in 2000-2013. We analyze the survivor functions of staying in poverty (out of poverty) using the Kaplan-Meier method. The probability of survival for a long time in poverty is less than in the case of survival out of poverty. It should be noted that a small percentage of households remained in poverty for almost the entire period of the study. We compare the survival functions of staying in poverty (out of poverty) according to the socio-economic groups of households. For this purpose we use the log-rank test. In both cases the survivor functions are significantly different. Households of the self-employed survive longer out of poverty and simultaneously survive shorter in poverty than the other groups of households.
    Źródło:
    Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 1 (47); 44-55
    1507-3866
    Pojawia się w:
    Econometrics. Ekonometria. Advances in Applied Data Analytics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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