The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
Johan W. Groothoff - One of the best experts on this subject based on the ideXlab platform.
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Socioeconomic factors, ethnicity and alcohol-related mortality in regions in Slovakia. What might a tree analysis add to our understanding?
Health & place, 2011Co-Authors: Katarina Rosicova, Andrea Madarasova Geckova, Martin Rosic, Johan W. Groothoff, Niko Speybroeck, Jitse P. Van DijkAbstract:Regional differences differences in alcohol-related mortality might reflect strong socioeconomic differences between regions. The present study examines the contribution of education, Unemployment, Income and minority proportion on regional differences in alcohol-related mortality for inhabitants aged 20-64 years. Linear regression analysis and a non-parametric regression tree analysis were used separately for males and females. The Unemployment rate and low education appeared as important determinants of regional alcohol-related mortality, while the proportion of Roma and Income were not significantly associated with alcohol-related mortality among males in Slovak districts. A district's Unemployment rate was assumed to be the strongest predictor of the outcome measure. (C) 2011 Elsevier Ltd. All rights reserved.
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Socioeconomic indicators and ethnicity as determinants of regional mortality rates in Slovakia
International journal of public health, 2009Co-Authors: Katarina Rosicova, Andrea Madarasova Geckova, Jitse P. Van Dijk, Martin Rosic, Ivan Zezula, Johan W. GroothoffAbstract:Objectives: Regional differences in mortality might reflect socioeconomic and ethnic differences between regions. The present study examines the relationship between education, Unemployment, Income, Roma population and regional mortality in the Slovak Republic.
Milan Vodopivec - One of the best experts on this subject based on the ideXlab platform.
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Choosing a System of Unemployment Income Support
World Bank Research Observer, 2012Co-Authors: Milan VodopivecAbstract:Mounting evidence suggests that excessive job protection reduces employment and labor market flows, hinders technological innovations, pushes workers into the informal sector, and hurts vulnerable groups by depriving them of job opportunities. Flexible labor markets stimulate job creation, investment, and growth, but they create job insecurity and displace some workers. How can the costs of such insecurity and displacements be minimized while ensuring that the labor market remains flexible? Each of the main Unemployment Income support systems (Unemployment insurance, Unemployment assistance, Unemployment insurance savings accounts, severance pay, and public works) has strengths and weaknesses. Country-specific conditions—chief among them labor market and other institutions, the capacity to administer each type of system, and the size of the informal sector—determine which system is best suited to developing and transition countries.
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Choosing a System of Unemployment Income Support: Guidelines for Developing and Transition Countries
The World Bank Research Observer, 2006Co-Authors: Milan VodopivecAbstract:Mounting evidence suggests that excessive job protection reduces employment and labor market flows, hinders technological innovations, pushes workers into the informal sector, and hurts vulnerable groups by depriving them of job opportunities. Flexible labor markets stimulate job creation, investment, and growth, but they create job insecurity and displace some workers. How can the costs of such insecurity and displacements be minimized while ensuring that the labor market remains flexible? Each of the main Unemployment Income support systems (Unemployment insurance, Unemployment assistance, Unemployment insurance savings accounts, severance pay, and public works) has strengths and weaknesses. Country-specific conditions, chief among them labor market and other institutions, the capacity to administer each type of system, and the size of the informal sector, determine which system is best suited to developing and transition countries.
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The World Bank research observer 21 (1)
World Bank Research Observer, 2006Co-Authors: Lant Pritchett, Milan Vodopivec, Harold Alderman, Jere R. Behrman, Stijn Claessens, Erik BerglöfAbstract:Who is not poor? Dreaming of a World truly free of poverty by Lant Pritchett; reducing the incidence of low birth weight in low-Income countries has substantial economic benefits by Harold Alderman, and Jere R. Behrman; choosing a system of Unemployment Income support: guidelines for developing and transition countries by Milan Vodopivec; corporate governance and development by Stijn Claessens; enforcement and good corporate governance in developing countries and transition economies by Erik Berglof and Stijn Claessens.
Jitse P. Van Dijk - One of the best experts on this subject based on the ideXlab platform.
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Socioeconomic factors, ethnicity and alcohol-related mortality in regions in Slovakia. What might a tree analysis add to our understanding?
Health & place, 2011Co-Authors: Katarina Rosicova, Andrea Madarasova Geckova, Martin Rosic, Johan W. Groothoff, Niko Speybroeck, Jitse P. Van DijkAbstract:Regional differences differences in alcohol-related mortality might reflect strong socioeconomic differences between regions. The present study examines the contribution of education, Unemployment, Income and minority proportion on regional differences in alcohol-related mortality for inhabitants aged 20-64 years. Linear regression analysis and a non-parametric regression tree analysis were used separately for males and females. The Unemployment rate and low education appeared as important determinants of regional alcohol-related mortality, while the proportion of Roma and Income were not significantly associated with alcohol-related mortality among males in Slovak districts. A district's Unemployment rate was assumed to be the strongest predictor of the outcome measure. (C) 2011 Elsevier Ltd. All rights reserved.
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Socioeconomic indicators and ethnicity as determinants of regional mortality rates in Slovakia
International journal of public health, 2009Co-Authors: Katarina Rosicova, Andrea Madarasova Geckova, Jitse P. Van Dijk, Martin Rosic, Ivan Zezula, Johan W. GroothoffAbstract:Objectives: Regional differences in mortality might reflect socioeconomic and ethnic differences between regions. The present study examines the relationship between education, Unemployment, Income, Roma population and regional mortality in the Slovak Republic.
Martina Linhartova - One of the best experts on this subject based on the ideXlab platform.
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association between Unemployment Income education level population size and air pollution in czech cities evidence for environmental inequality a pilot national scale analysis
Health & Place, 2012Co-Authors: Martin Branis, Martina LinhartovaAbstract:We analyzed differentials in exposure to SO(2), PM(10) and NO(2) among Czech urban populations categorized according to education level, Unemployment rate, population size and average annual salary. Altogether 39 cities were included in the analysis. The principal component analysis revealed two factors explaining 72.8% of the data variability. The first factor explaining 44.7% of the data variability included SO(2), PM(10), low education level and high Unemployment, documenting that inhabitants with unfavorable socioeconomic status mainly reside in smaller cities with higher concentration levels of combustion-related air pollutants. The second factor explaining 28.1% of the data variability included NO(2), high salary, high education level and large population, suggesting that large cities with residents with higher socioeconomic status are exposed to higher levels of traffic-related air pollution. We conclude that, after more than a decade of free-market economy, the Czech Republic, a former Soviet satellite with a centrally planned economy, displays signs of a certain kind of environmental inequality, since environmental hazards are unevenly distributed among the Czech urban populations.
Katarina Rosicova - One of the best experts on this subject based on the ideXlab platform.
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Socioeconomic factors, ethnicity and alcohol-related mortality in regions in Slovakia. What might a tree analysis add to our understanding?
Health & place, 2011Co-Authors: Katarina Rosicova, Andrea Madarasova Geckova, Martin Rosic, Johan W. Groothoff, Niko Speybroeck, Jitse P. Van DijkAbstract:Regional differences differences in alcohol-related mortality might reflect strong socioeconomic differences between regions. The present study examines the contribution of education, Unemployment, Income and minority proportion on regional differences in alcohol-related mortality for inhabitants aged 20-64 years. Linear regression analysis and a non-parametric regression tree analysis were used separately for males and females. The Unemployment rate and low education appeared as important determinants of regional alcohol-related mortality, while the proportion of Roma and Income were not significantly associated with alcohol-related mortality among males in Slovak districts. A district's Unemployment rate was assumed to be the strongest predictor of the outcome measure. (C) 2011 Elsevier Ltd. All rights reserved.
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Socioeconomic indicators and ethnicity as determinants of regional mortality rates in Slovakia
International journal of public health, 2009Co-Authors: Katarina Rosicova, Andrea Madarasova Geckova, Jitse P. Van Dijk, Martin Rosic, Ivan Zezula, Johan W. GroothoffAbstract:Objectives: Regional differences in mortality might reflect socioeconomic and ethnic differences between regions. The present study examines the relationship between education, Unemployment, Income, Roma population and regional mortality in the Slovak Republic.
