Using data from India, we estimate the relationship between household wealth and children's school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children's enrollment across Indian states. On average a "rich" child is 31 percentage points more likely to be enrolled than a "poor" child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.

The relationship between household wealth and without Expenditure Data educational enrollment of children can be estimated or Tears without expenditure data. A method for doing so-With an Application to Educational which uses an index based Enrollments in States of India on household asset ownership indicatorsis proposed and defended in Deonz Filmer this paper. In India, children

economic reform, growth episodes,

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Cents and SociabilityMatching a measure of social capital with data on household income in certain Household Income and Social Capital rural villages inTanzania in Rural Tanzania shows that 'social capital" is indeed both capital (in that it raises incomes) and social (in that household incomes

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