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Economic Sciences for Agribusiness and Rural Economy, 2018 |
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Matuszewska-Janica A. WOMEN’S LABOUR MARKET ACTIVITY IN THE AGRICULTURE SECTOR IN POLAND AND EUROPEAN UNION IN 2016
| Autor | Aleksandra Matuszewska-Janica |
| Tytuł | WOMEN’S LABOUR MARKET ACTIVITY IN THE AGRICULTURE SECTOR IN POLAND AND EUROPEAN UNION IN 2016 |
| Title | |
| Słowa kluczowe | labour market, female employment, cluster analysis, k-mean method |
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| Abstrakt | The European authorities pay particular attention to agriculture and employees in this sector. Women represent more than 33% of this group in the European Union. A significant number of actions are targeted at women from rural areas, having regard to the mentioned issues and specific situation of women in the labour market. Therefore, it requires in-depth analyses. The main aim of the presented study is to assess the diversity of the situation of women working in agriculture across the EU. The quantitative analysis allows to indicate similarities and differences among EU states in the current structure of women’s employment in this sector. In the analysis, the k-mean method is applied with the Labour Force Survey data from the year 2016. The study refers to 28 EU states and a group of women aged 20–64. The obtained results indicated that we have a large proportion of self-employees in agriculture. However, we observe a larger percentage of those who create jobs for others states that are better economically developed. This analysis confirms the findings that the Polish structure of female employment is closer to those in the Mediterranean countries. Poland is assigned to one cluster with Greece. This group is distinguished by several factors. Firstly, it contains a high proportion of people employed in agriculture with a relatively small share of part-timers. Secondly, it is a very high rate of self-employed with a very low proportion of those who create jobs for others. |
| Abstract | |
| Cytowanie | Matuszewska-Janica A. |
| HTML | wersja html |
| Pełny tekst | ESARE_2018_n2_s124.pdf |
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| 2. |
Zeszyty Naukowe SGGW - Ekonomika i Organizacja Gospodarki Żywnościowej, 2008 |
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Matuszewska-Janica A., Witkowska D. Modelowanie kursu euro/dolar: dynamiczne modele ekonometryczne i sztuczne sieci neuronowe
| Autor | Aleksandra Matuszewska-Janica, Dorota Witkowska |
| Tytuł | Modelowanie kursu euro/dolar: dynamiczne modele ekonometryczne i sztuczne sieci neuronowe |
| Title | Euro/dollar exchange rate modelling: dynamic econometric model and artifi cial neural networks |
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| Abstract | In the paper we present the results of the research regarding relationship among euro/dollar exchange rate and other variables from financial and good markets. The analyzed time series are observed daily. In the first stage we investigate selected variables from financial and good markets that influence the euro/dollar exchange rate applying the Granger causality test. Our investigation shows that futures contract influences the euro/dollar exchange rate the most. In the second stage we construct the econometric models (ARMA-DL and ARMADL with GARCH) and artificial neural networks (Multilayer Perceptron) that are used to modelling and forecasting of the euro/dollar exchange rate. In the last stage we compare different models using goodness-of-fi t measures, Theil inequality statistic and its decomposition |
| Cytowanie | Matuszewska-Janica A., Witkowska D. (2008) Modelowanie kursu euro/dolar: dynamiczne modele ekonometryczne i sztuczne sieci neuronowe.Zeszyty Naukowe SGGW - Ekonomika i Organizacja Gospodarki Żywnościowej, nr 69: 55-75 |
| HTML | wersja html |
| Pełny tekst | EIOGZ_2008_n69_s55.pdf |
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