Using the evidence from the Luxembourg Wealth Study it appears that the distribution of wealth in the UK is considerably less than in Canada, the US or Sweden. But does this result come from an underestimate of inequality among the wealthy and of the wealth differential between the rich and the...

With income distributions it is common to encounter the problem of missing data. When a parametric model is fitted to the data, the problem can be overcome by specifying the marginal distribution of the observed data. With classical methods of estimation such as the maximum likelihood (ML) an...

An important aspect of income distribution is the modelling of the data using an appropriate parametric model. This involves estimating the parameters of the models, given the data at hand. Income data are typically in grouped form. Moreover, they are not always reliable in that they may contain...

Statistical problems in modelling personal income distributions include estimation procedures, testing and model choice. Typically, the parameters of a given model are estimated by classical procedures such as maximum likelihood and least squares estimators. Unfortunately, the classical methods...

This paper proposes a model of wealth distribution dynamics with a capital market imperfection and a production function where public capital is complementary to private capital. A unique invariant steady-state distribution is derived, with three social classes: subsistence workers, 'government...