Wealth composition, endogenous fertility and the dynamics of income inequality

This paper analyzes how differences in the composition of wealth between human and physical capital among families affect fertility choices. These in tum influence the dynamics of wealth and income inequality across generations through a tradeoffbetween quantity and quality of children. Wealth composition affects fertility because physical capital has only a wealth effect on number of children, whereas human capital increases the time cost of child-rearing in addition to the wealth effect. I construct a model combining endogenous fertility with borrowing constraints in human capital investments, in which weaIth composition is determined endogenously. The model is calibrated to the PNAD, a Brazilian household survey, and the main findings of the paper can be summarized as follows. First, the model implies that the crosssection relationship between fertility and wealth typically displays a U-shaped pattem, reflecting differences in wealth composition between poor and rich families. Also, the quantity-quality tradeoff implies a concave cross-section relationship between investments per child and wealth. Second, as the economy develops and families overcome their bOlTowing constraints, the negative effect of weaIth on fertility becomes smaller, and persistence of inequality declines accordingly. The empirical evidence presented in this paper is consistent with both implications .

Life Cycle Models, Heterogeneity of Initial Assets,and Wealth Inequality

Life cycle general equilibrium models with heterogeneous agents have a very hard time reproducing the American wealth distribution. A common assumption made in this literature is that all young adults enter the economy with no initial assets. In this article, we relax this assumption – not supported by the data - and evaluate the ability of an otherwise standard life cycle model to account for the U.S. wealth inequality. The new feature of the model is that agents enter the economy with assets drawn from an initial distribution of assets, which is estimated using a non-parametric method applied to data from the Survey of Consumer Finances. We found that heterogeneity with respect to initial wealth is key for this class of models to replicate the data. According to our results, American inequality can be explained almost entirely by the fact that some individuals are lucky enough to be born into wealth, while others are born with few or no assets.

A multidimensional version of the Carlson inequality

We give a multidimensional extension of a one-dimensional integral inequality due to F. Carlson. The extension presented here involves Lp spaces with mixed norms in a very natural way. © 1984.

Social dimensions of economic development and productivity: inequality and social performance

Includes bibliography

Social dimensions of economic development and productivity: inequality and social performance: an overview

Includes bibliography

Income inequality in Central America, Dominican Republic and Mexico: assessing the importance of individual and household characteristics

Includes bibliography

The evolution of world income inequality: assessing the impact of globalization

Includes bibliography

Determinants of inequality among urban households

Includes bibliography

Wage inequality in Latin America: a decade of changes

Includes bibliography

Statistical sources for the study of poverty and inequality

Includes bibliography

Social dimensions of economic development and productivity: inequality and social performance

Includes bibliography

Social dimensions of economic development and productivity: inequality and social performance: an overview

Includes bibliography

Inequality in education in Costa Rica: The gap between students in public and private schools. An analysis of the results of the Programme for International Student Assessment (PISA)

Includes bibliography.

Report of the AD HOC Expert Group meeting on social exclusion, poverty, inequality, crime and violence: Towardsa research agenda for informed public policy for Caribbean SIDS

The Economic Commission for Latin America and the Caribbean (ECLAC), Subregional Headquarters for the Caribbean convened an expert group meeting on Social Exclusion, Poverty, Inequality – Crime and Violence: Towards a Research Agenda for informed Public Policy for Caribbean SIDS on Friday 4 April 2008, at its conference room in Port of Spain. The meeting was attended by 14 experts drawn from, the University of the West Indies (UWI), St. Augustine, Trinidad and Tobago; and Mona Campus, Jamaica; the St. Georges University, Grenada; the Trinidad and Tobago Crime Commission and the Ministry of Social Development, Government of Trinidad and Tobago and representative of Civil Society from Guyana. Experts from the United Nations System included representatives from the United Nations Fund for Women (UNIFEM), Barbados; the United Nations Development Programme (UNDP), Port of Spain and UNDP Barbados/SRO and the Organisation of Eastern Caribbean States (OECS). The list of participants appears as an annex to this report. The purpose of the meeting was to provide a forum in which differing theories and methodologies useful to addressing the issues of social exclusion, poverty, inequality, crime and violence could be explored. It was expected that at the end of the meeting there would be consensus on areas of research which could be pursued over a two to four-year period by the ECLAC Subregional Headquarters for the Caribbean and its partners, which would lead to informed public policy in support of the reduction of the growing violence in Caribbean society.