Deon Filmer

Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application to Educational Enrollments in States of India

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 impact of public spending on health: does money matter?

We use cross-national data to examine the impact of both public spending on health and non-health factors (economic, educational, cultural) in determining child (under-5) and infant mortality. There are two striking findings. First, the impact of public spending on health is quite small, with a coefficient that is typically both numerically small and statistically insignificant at conventional levels. Independent variation in public spending explains less than one-seventh of 1% of the observed differences in mortality across countries. The estimates imply that for a developing country at average income levels the actual public spending per child death averted is

What educational production functions really show : a positive theory of education spending

50,000-100,000. This stands in marked contrast to the typical range of estimates of the cost effectiveness of medical interventions to avert the largest causes of child mortality in developing countries, which is

Assessing asset indices

10-4000. We outline three possible explanations for this divergence of the actual and apparent potential of public spending. Second, whereas health spending is not a powerful determinant of mortality, 95% of cross-national variation in mortality can be explained by a countrys income per capita, inequality of income distribution, extent of female education, level of ethnic fragmentation, and predominant religion.

Getting girls into school : evidence from a scholarship program in Cambodia

The accumulated results of empirical studies show that the public sector typically chooses spending on inputs such that the productivity of additional spending on books and instructional materials is 10 to 100 times larger than that of additional spending on teacher inputs (for example, higher wages, small class size). The authors argue that this pervasive and systemic deviation of actual spending from the technical optimum requires a political, not economic or technical, explanation. The evidence is consistent only with a class of positive models in which public spending choices are directly influenced by a desire for higher spending on teacher inputs, over and above their role in producing educational outputs. This desire could be due either to teacher power, or bureaucratic budget-maximizing behavior, or political patronage. The authors conclude by exploring the implications of these positive political models of educational spending behavior for various types of proposed educational reforms (localized control, parental participation, vouchers, and so on) which requires an examination of how the proposed reforms shift the relative powers of the stakeholders in the educational system: students and parents, educators, bureaucrats, and politicians.

Poverty, AIDS, and Children's Schooling : A Targeting Dilemma

The use of asset indices in welfare analysis and poverty targeting is increasing, especially in cases in which data on expenditures are unavailable or hard to collect. We compare alternative approaches to welfare measurement. Our analysis shows that inferences about inequalities in education, health care use, fertility, and child mortality, as well as labor market outcomes, are quite robust to the economic status measure used. Different measures—most significantly per capita expenditures versus the class of asset indices—do not, however, yield identical household rankings. Two factors stand out in predicting the degree of congruence in rankings. First is the extent to which expenditures can be explained by observed household and community characteristics. Rankings are most similar in settings with small transitory shocks to expenditure or with little random measurement error in expenditure. Second is the extent to which expenditures are dominated by individually consumed goods, such as food. Asset indices are typically derived from indicators of goods that are effectively public at the household level, while expenditures are often dominated by food, an almost exclusively private good. In settings in which individually consumed goods are the main component of expenditures, asset indices and per capita consumption yield the least similar results.

Child Mortality and Public Spending on Health: How Much Does Money Matter?

Increasing the schooling attainment of girls is a challenge in much of the developing world. In this study we evaluate the impact of a program that gives scholarships to girls making the transition between the last year of primary school and the first year of secondary school in Cambodia. We show that the scholarship program increased the enrollment and attendance of recipients at program schools by about 30 percentage points. Larger impacts are found among girls with the lowest socioeconomic status at baseline. The results are robust to a variety of controls for observable differences between scholarship recipients and nonrecipients, to unobserved heterogeneity across girls, and to selective transfers between program schools and other schools. We conclude that there is substantial potential for demand‐side interventions in lower‐income countries like Cambodia.

The structure of social disparities in education : gender and wealth

The authors analyze the relationship between orphan status, household wealth, and child school enrollment using data collected in the 1990s from 28 countries in Sub-Saharan Africa, Latin America, the Caribbean, and one country in Southeast Asia. The findings point to considerable diversity-so much so that generalizations are not possible. While there are some examples of large differentials in enrollment by orphan status, in the majority of cases the orphan enrollment gap is dwarfed by the gap between children from richer and poorer households. In some cases, even non-orphaned children from the top of the wealth distribution have low enrollments, pointing to fundamental issues in the supply or demand for schooling that are a constraint to higher enrollments of all children. The gap in enrollment between female and male orphans is not much different than the gap between girls and boys with living parents, suggesting that female orphans are not disproportionately affected in terms of their enrollment in most countries. These diverse findings demonstrate that the extent to which orphans are under-enrolled relative to other children is country-specific, at least in part because the correlation between orphan status and poverty is not consistent across countries. Social protection and schooling policies need to assess the specific country situation before considering mitigation measures.

If You Build It, Will They Come? School Availability and School Enrollment in 21 Poor Countries

The authors use cross-national data to examine the impact on child (under 5) and infant mortality of both nonhealth (economic, cultural, and educational) factors and public spending on health. They come up with two striking findings: 1) Roughly 95 percent of cross-national variation in mortality can be explained by a countrys per capita income, the distribution of income, the extent of womens education, the level of ethnic fragmentation, and the predominant religion. 2) Public spending on health has relatively little impact, with a coefficient that is numerically small and statistically insignificant at conventional levels. Independent variations in public spending explain less than one-tenth of 1 percent of the observed differences in mortality across countries. The estimates imply that for a developing country at average income levels, actual public spending per child death averted is

Educational attainments in developing countries : new estimates and projections disaggregated by gender

50,000 to