| Reference : Modeling the Joint Distribution of Income and Wealth |
| Parts of books : Contribution to collective works | |||
| Social & behavioral sciences, psychology : Sociology & social sciences Business & economic sciences : Quantitative methods in economics & management Business & economic sciences : Social economics | |||
| Computational Sciences | |||
| http://hdl.handle.net/10993/35069 | |||
| Modeling the Joint Distribution of Income and Wealth | |
| English | |
| Jäntti, Markus [Stockholm University] | |
| Sierminska, Eva M. [Luxembourg Institute of Socio-Economic Research - LISER] | |
Van Kerm, Philippe  [Luxembourg Institute of Socio-Economic Research - LISER] | |
| 2015 | |
| Measurement of Poverty, Deprivation, and Economic Mobility | |
| Garner, Thesia | |
| Short, Kathleen | |
| Emerald Group Publishing Limited | |
| Research on Economic Inequality | |
| 301-327 | |
| Yes | |
| [en] This paper considers a parametric model for the joint distribution of income and wealth. The model is used to analyze income and wealth inequality in five OECD countries using comparable household-level survey data. We focus on the dependence parameter between the two variables and study whether accounting for wealth and income jointly reveals a different pattern of social inequality than the traditional “income only” approach. We find that cross-country variations in the dependence parameter effectively account only for a small fraction of cross-country differences in a bivariate measure of inequality. The index appears primarily driven by differences in inequality in the wealth distribution. | |
| http://hdl.handle.net/10993/35069 | |
| 10.1108/S1049-258520150000023010 | |
| http://dx.doi.org/10.1108/S1049-258520150000023010 |
There is no file associated with this reference.
All documents in ORBilu are protected by a user license.
