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Titlebook: Income Inequality, Poverty, and Economic Welfare; Daniel J. Slottje,Baldev Raj Conference proceedings 1998 Springer-Verlag Berlin Heidelbe

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書目名稱Income Inequality, Poverty, and Economic Welfare
編輯Daniel J. Slottje,Baldev Raj
視頻videohttp://file.papertrans.cn/464/463304/463304.mp4
叢書名稱Studies in Empirical Economics
圖書封面Titlebook: Income Inequality, Poverty, and Economic Welfare;  Daniel J. Slottje,Baldev Raj Conference proceedings 1998 Springer-Verlag Berlin Heidelbe
描述Presented are new methods and new empirical studies on the subject of income inequality and poverty. The purpose of the book is to explore new ways to analyze recent trends in income inequality and poverty, both from the perspective of quantifying poverty and inequality and quantifyig the impact of various factors on the trends in inequality and poverty. The novelty lies in the diversity of empirical approaches used and customers will benefit from learning about different methods.
出版日期Conference proceedings 1998
關鍵詞Armut; Einkommen; Income; Ungleiche Einkommensverteilung; Valenz; Wohlfahrt; income distribution; income in
版次1
doihttps://doi.org/10.1007/978-3-642-51073-1
isbn_softcover978-3-642-51075-5
isbn_ebook978-3-642-51073-1Series ISSN 1431-8830 Series E-ISSN 2196-8950
issn_series 1431-8830
copyrightSpringer-Verlag Berlin Heidelberg 1998
The information of publication is updating

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Conference proceedings 1998 analyze recent trends in income inequality and poverty, both from the perspective of quantifying poverty and inequality and quantifyig the impact of various factors on the trends in inequality and poverty. The novelty lies in the diversity of empirical approaches used and customers will benefit from learning about different methods.
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978-3-642-51075-5Springer-Verlag Berlin Heidelberg 1998
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Income Inequality, Poverty, and Economic Welfare978-3-642-51073-1Series ISSN 1431-8830 Series E-ISSN 2196-8950
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while increasing the information value of the data being obtained..By presenting the role of computational modeling as an integrated component of the research process, Complex Systems and Computational Biology 978-3-030-56512-1978-3-030-56510-7
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e rules in an agent-based model (ABM), the ability of an ABM to readily represent stochastic processes, and the inherent spatial representation capability of an ABM all facilitate the utilization of this method in the practice of Translational Systems Biology. Presented herein are a series of ABMs o
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