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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper examines determinants of per capita consumption expenditure and their relative contribution to income inequality in urban areas of Ethiopia. The paper has used the cross sectional data of income and consumption expenditure household survey collected by central statistics agency of year 1994/95,1999/00 and 2004/05. Generalized linear model and regression based decomposition of income inequality has been used for regression purpose and to see factors contribution to income inequality respectively. The result of the analysis shows that education level of households, Age, Public sector and informal private worker employees have significant and positive contribution to per capita consumption expenditure while household size and age square has a significant and negative contribution. Where as Decomposition of factors, After controlling for the effects of unexplained variables, has indicated that the household head s attributes account for one-third of the total variance of (the log of) income which is 35.05% followed by economic sector(2.66%) and geographical location(0.91%). Keywords:Income Inequality, determinants and regression base Decomposition method. 84 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Retta Heleni am an economist.I do have two year experience in teaching in national higher institution and currently am working as Economist/Project Analyst in Metal and Industry Development Institute (MIDI),Ethiopia.i am working on d.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This paper examines determinants of per capita consumption expenditure and their relative contribution to income inequality in urban areas of Ethiopia. The paper has used the cross sectional data of income and consumption expenditure household survey collected by central statistics agency of year 1994/95,1999/00 and 2004/05. Generalized linear model and regression based decomposition of income inequality has been used for regression purpose and to see factors contribution to income inequality respectively. The result of the analysis shows that education level of households, Age, Public sector and informal private worker employees have significant and positive contribution to per capita consumption expenditure while household size and age square has a significant and negative contribution. Where as Decomposition of factors, After controlling for the effects of unexplained variables, has indicated that the household head's attributes account for one-third of the total variance of (the log of) income which is 35.05% followed by economic sector(2.66%) and geographical location(0.91%). Keywords:Income Inequality, determinants and regression base Decomposition method.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper examines determinants of per capita consumption expenditure and their relative contribution to income inequality in urban areas of Ethiopia. The paper has used the cross sectional data of income and consumption expenditure household survey collected by central statistics agency of year 1994/95,1999/00 and 2004/05. Generalized linear model and regression based decomposition of income inequality has been used for regression purpose and to see factors contribution to income inequality respectively. The result of the analysis shows that education level of households, Age, Public sector and informal private worker employees have significant and positive contribution to per capita consumption expenditure while household size and age square has a significant and negative contribution. Where as Decomposition of factors, After controlling for the effects of unexplained variables, has indicated that the household head s attributes account for one-third of the total variance of (the log of) income which is 35.05% followed by economic sector(2.66%) and geographical location(0.91%). Keywords:Income Inequality, determinants and regression base Decomposition method.