Parental job loss and the education enrollment of youth

Parental job loss from layoffs and business failures that occur when youth complete high school are found to be negatively related with enrollment at university and community college. Estimates using longitudinal data on Canadian youth and their parents are employed to identify both immediate and lagged effects of parental job loss on education enrollment. Parental job losses are also followed by significant falls in parental income. If the main pathway by which parental job loss affects youth education outcomes is via these income reductions, it that implies financial constraints on post-secondary education enrollment are important.     

An econometric method of correcting for unit nonresponse bias in surveys

Past approaches to correcting for unit nonresponse in sample surveys by re-weighting the data assume that the problem is ignorable within arbitrary subgroups of the population. Theory and evidence suggest that this assumption is unlikely to hold, and that household characteristics such as income systematically affect survey compliance. We show that this leaves a bias in the re-weighted data and we propose a method of correcting for this bias. The geographic structure of nonresponse rates allows us to identify a micro compliance function, which is then used to re-weight the unit-record data. An example is given for the US Current Population Surveys, 1998–2004. We find, and correct for, a strong household income effect on response probabilities.     

Edgeworth expansions and normalizing transforms for inequality measures

Finite sample distributions of studentized inequality measures differ substantially from their asymptotic normal distribution in terms of location and skewness. We study these aspects formally by deriving the second-order expansion of the first and third cumulant of the studentized inequality measure. We state distribution-free expressions for the bias and skewness coefficients. In the second part we improve over first-order theory by deriving Edgeworth expansions and normalizing transforms. These normalizing transforms are designed to eliminate the second-order term in the distributional expansion of the studentized transform and converge to the Gaussian limit at rate O(n⁻¹)$O\left(n^{-1}\right)$. This leads to improved confidence intervals and applying a subsequent bootstrap leads to a further improvement to order O(n^−3/2)$O\left(n^{-3/2}\right)$. We illustrate our procedure with an application to regional inequality measurement in Côte d’Ivoire.     

How do natural resource endowment and institutional quality influence the nexus between external indebtedness and welfare in Africa?

Resource-rich African countries are often saddled with high external indebtedness. Yet, their management of resource endowment, a logical source of debt repayment, also remains a challenge, alongside their characteristic weak institutions. We investigate the relationship between external indebtedness and welfare whilst considering the pervasive influence of both natural resource rents and the quality of institutions. Using a two-stage analysis, we find that the quality of institutions, mineral- and oil-resource rents negatively affect indebtedness, while rents of aggregated natural resources, which include agricultural commodities, increase indebtedness. In the second stage, we find that welfare is enhanced by the quality of institutions, mineral- and oil-resource rents. These sets of results are interestingly conditional on the degree of resource endowment and the income level of countries, alongside the interesting effects of external indebtedness on welfare, both of which, importantly, nuance past results on the “resource curse”. Furthermore, the proxy for welfare matters: the human development index proxy reflects more the theoretical expectations of unsustainable indebtedness on welfare, than does the GDP per capita alternative. These and other results of our paper, which hold useful policy guides for African countries, are robust to alternative estimation techniques and other checks.     

The geographic accessibility of child care subsidies and evidence on the impact of subsidy receipt on childhood obesity

This paper examines the impact of the spatial accessibility of public human services agencies on the likelihood of receiving a child care subsidy among disadvantaged mothers with young children. In particular, we collect data on the location of virtually every human services agency in the US and use this information to calculate the approximate distance that families must travel from home in order to reach the nearest office that administers the subsidy application process. Using data from the Kindergarten cohort of the Early Childhood Longitudinal Study (ECLS-K), our results indicate that an increase in the distance to a public human services agency reduces the likelihood that a family receives a child care subsidy. Specifically, we estimate an elasticity of subsidy receipt with respect to distance of −0.13. The final section of the paper provides an empirical application in which we use variation in families’ travel distance to identify the causal effect of child care subsidies on children’s weight outcomes. Our instrumental variables estimates suggest that subsidized child care leads to sizeable increases in the prevalence of overweight and obesity among low-income children.