Do shocks affect men's and women's assets differently?: A review of literature and new evidence from Bangladesh and Uganda

This background paper attempts to expand our understanding of the gender-differentiated impact of shocks on assets through a literature review on shocks and gendered asset dynamics and an analysis of new panel data (2007 and 2009) from Uganda and Bangladesh looking at the impact of negative shocks and positive events on men's and women's assets. We take advantage of detailed assets and shocks modules to disaggregate the type of shock between covariate and idiosyncratic shocks and types of assets according to ownership (joint, husband's, and wife's assets). We also consider the impact of life-cycle events such as dowry payments and receipts, and inheritance. Estimation of an asset accumulation regression as a function of covariate and idiosyncratic shocks, with controls for baseline characteristics and asset stocks, finds that although many shocks are similar in both countries, commonly experienced shocks do not necessarily have the same effects across countries and on men's, women's, and jointly owned assets within countries. Land and assets in general were relatively well insured against food price increases in Bangladesh, but jointly held assets and wives' assets in Uganda were negatively affected. Weather shocks negatively impact husbands' assets and wives' assets in Bangladesh and Uganda, respectively. Reflecting differences in country and context, dowry and wedding expenses took their toll on wives' land in Bangladesh, and illness shocks also had a large detrimental impact on wives' assets in Bangladesh, while death negatively affected wives' assets in Uganda. Within households, however, it appears that in Bangladesh, husbands' land and assets were more negatively affected by covariate shocks relative to wives' assets, whereas in Uganda, husbands' assets were relatively protected against covariate shocks relative to wives' assets.Shocks, Gender, assets,

The View from the Bench: The Perspective of a Water Judge

9 pages

Out of Sync? Demographic and Other Social Science Research on Health Conditions in Developing Countries

A framework is presented for considering for what health conditions in developing countries the marginal social benefits of demographic and social science research are likely to be relatively high. Based on this framework, it is argued that the relative current and future predicted prevalence of burdens of different health/disease conditions as measured by Disability-Adjusted-Life-Years (DALYs) represent fairly well some important factors related to the relative marginal social benefits of demographic and social science research on different health conditions. World Health Organization (WHO) DALYs projections for 2005-30 are compared with (a) demographic and other social science studies on health in developing countries during 1990-2005 and (b) presentations at the Population Association of America annual meetings during the same time period. These comparisons suggest that, recent demographic and social science research on health in developing countries has overfocused substantially relatively on HIV/AIDS and underfocused substantially relatively on non-communicable diseases

Brains versus Brawn: Labor Market Returns to Intellectual and Health Human Capital in a Poor Developing Country

Previous studies report that adult height has significant associations with wages even controlling for schooling. But schooling and height are imperfect measures of adult cognitive skills (“brains”) and strength (“brawn”); further they are not exogenous. Analysis of rich Guatemalan longitudinal data over 35 years finds that proximate determinants—adult reading comprehension skills and fat-free body mass—have significantly positive associations with wages, but only brains, and not brawn, is significant when both human capital measures are treated as endogenous. Even in a poor developing economy in which strength plausibly has rewards, labor market returns are increased by brains, not brawn.

What determines adult cognitive skills?: Impacts of preschooling, schooling, and post-schooling experiences in Guatemala

"Most investigations into the importance and determinants of adult cognitive skills assume that (1) they are produced primarily by schooling, and (2) schooling is statistically predetermined or exogenous. This study uses longitudinal data collected in Guatemala over 35 years to investigate production functions for adult cognitive skills—that is, reading-comprehension skills and nonverbal cognitive skills—as being dependent on behaviorally determined preschooling, schooling, and post-schooling experiences. We use an indicator of whether the child was stunted (child height-for-age Z-scoreHuman capital, cognitive skills, Stunting, work experience, Development, Education, Gender, Health and nutrition,

Attrition in longitudinal household survey data

Longitudinal household data can have considerable advantages over much more widely used cross-sectional data. The collection of longitudinal data, however, may be difficult and expensive. One problem that has concerned many analysts is that sample attrition may make the interpretation of estimates problematic. Such attrition may be particularly severe in areas where there is considerable mobility because of migration between rural and urban areas. Many analysts share the intuition that attrition is likely to be selective on characteristics such as schooling and that high attrition is likely to bias estimates made from longitudinal data. This paper considers the extent of and implications of attrition for three longitudinal household surveys from Bolivia, Kenya, and South Africa that report very high per-year attrition rates between survey rounds. Our estimates indicate that (1) the means for a number of critical outcome and family background variables differ significantly between attritors and nonattritors; (2) a number of family background variables are significant predictors of attrition; but (3) nevertheless, the coefficient estimates for “standard” family background variables in regressions and probit equations for the majority of the outcome variables considered in all three data sets are not affected significantly by attrition. Therefore, attrition apparently is not a general problem for obtaining consistent estimates of the coefficients of interest for most of these outcomes. These results, which are very similar to results for developed economies, suggest that for these outcome variables—despite suggestions of systematic attrition from univariate comparisons between attritors and nonattritors, multivariate estimates of behavioral relations of interest may not be biased due to attrition.Household surveys Methodology ,

Attrition in longitudinal household survey data

Longitudinal household data can have considerable advantages over much more widely used cross-sectional data. The collection of longitudinal data, however, may be difficult and expensive. One problem that has concerned many analysts is that sample attrition may make the interpretation of estimates problematic. Such attrition may be particularly severe in areas where there is considerable mobility because of migration between rural and urban areas. Many analysts share the intuition that attrition is likely to be selective on characteristics such as schooling and that high attrition is likely to bias estimates made from longitudinal data. This paper considers the extent of and implications of attrition for three longitudinal household surveys from Bolivia, Kenya, and South Africa that report very high per-year attrition rates between survey rounds. Our estimates indicate that (1) the means for a number of critical outcome and family background variables differ significantly between attritors and nonattritors; (2) a number of family background variables are significant predictors of attrition; but (3) nevertheless, the coefficient estimates for “standard” family background variables in regressions and probit equations for the majority of the outcome variables considered in all three data sets are not affected significantly by attrition. Therefore, attrition apparently is not a general problem for obtaining consistent estimates of the coefficients of interest for most of these outcomes. These results, which are very similar to results for developed economies, suggest that for these outcome variables—despite suggestions of systematic attrition from univariate comparisons between attritors and nonattritors, multivariate estimates of behavioral relations of interest may not be biased due to attrition.Household surveys Methodology ,