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Wyszukujesz frazę "Landmesser, Joanna" wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Differences in income distributions for men and women in the European Union countries
Autorzy:
Landmesser, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/22446427.pdf
Data publikacji:
2019
Wydawca:
Instytut Badań Gospodarczych
Tematy:
gender pay gap
differences in distributions
decomposition methods
Opis:
Research background: Recently there has been an increase in interest in the studies of income inequalities. The findings of numerous empirical studies show that males earn higher wages than females. A variety of techniques of income inequalities decomposition are becoming popular. New procedures go far beyond the Oaxaca-Blinder decomposition. They allow to study differences of income distributions for various groups of people and to decompose them at various quantile points. Purpose of the article: The aim of the paper is to compare personal income distributions in selected countries of the European Union, taking into account gender differences. Methods: First, we examined the income inequalities between men and women in each country using the Oaxaca-Blinder decomposition procedure. The unexplained part of the gender pay gap gave us information about the wage discrimination. Second, we extended the decomposition procedure to different quantile points along the whole income distribution. To describe differences between the incomes of men and women, we constructed the so-called counterfactual distribution, which is a mixture of a conditional distribution of the dependent variable (income) and a distribution of the explanatory variables (individual people?s characteristics). Then, we utilized the residual imputation approach (JMP-approach). Findings & Value added: In the article data from EU-SILC (Statistics on Income and Living Conditions) were used. We found that there exists an important diversity in the size of the gender pay gap across members of the European Union. The results obtained for these countries allowed us to group them into clusters. In general, there are two types of countries in Europe: the countries, where the bulk of the observed income differences cannot be explained by observed characteristics, and the countries, where the explained and the unexplained effects are both positive, with even a bigger explained effect for the lower income ranges.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2019, 14, 1; 81-98
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of the dynamic time warping (DTW) method to describe the COVID-19 dynamics in Poland
Autorzy:
Landmesser, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/19233703.pdf
Data publikacji:
2021
Wydawca:
Instytut Badań Gospodarczych
Tematy:
COVID-19
coronavirus
regional analysis
dynamic time warping
clustering
Opis:
Research background: In recent times, the whole world has been severely affected by the COVID-19 pandemic. The influence of the epidemic on the society and the economy has caused a great deal of scientific interest. The development of the pandemic in many countries was analyzed using various models. However, the literature on the dissemination of COVID-19 lacks econometric analyzes of the development of this epidemic in Polish voivodeships. Purpose of the article: The aim of the study is to find similarities in time series for infected with and those who died of COVID-19 in Polish voivodeships using the method of dynamic time warping. Methods: The dynamic time warping method allows to calculate the distance between two time series of different lengths. This feature of the method is very important in our analysis because the coronavirus epidemic did not start in all voivodeships at the same time. The dynamic time warping also enables an adjustment of the timeline to find similar, but shifted, phases. Using this method, we jointly analyze the number of infected and deceased people in each province. In the next step, based on the measured similarity of the time series, the voivodeships are grouped hierarchically. Findings & value added: We use the dynamic time warping to identify groups of voivodeships affected by the epidemic to a different extent. The classification performed may be useful as it indicates patterns of the COVID-19 disease evolution in Polish voivodeships. The results obtained at the regional level will allow better prediction of future infections. Decision makers should formulate further recommendations for lockdowns at the local level, and in the long run, adjust the medical infrastructure in the regions accordingly. Policymakers in other countries can benefit from the findings by shaping their own regional policies accordingly.
Źródło:
Oeconomia Copernicana; 2021, 12, 3; 539-556
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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