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In many developing countries, gift expenses account for a substantial share of total household expenditures. As incomes rise, gift expenses are escalating in several developing countries. We develop a theoretical model to demonstrate how (unequal) income growth may trigger “gift competition” and drive up the financial burden associated with gift exchange. We use unique census-type panel data from rural China to test our model predictions and demonstrate that (1) the value of gifts responds to the average gift in the community, (2) the escalation of gift giving may have adverse welfare implications (especially for the poor), and (3) escalating gift expenses crowd out expenditures on other consumption items.
At a time when donors and governments are increasing efforts to mainstream gender in agriculture, it is critical to revisit long-standing wisdom about gender inequalities in agriculture to be able to more efficiently design and evaluate policy interventions. Many stylized facts about women in agriculture have been repeated for decades. Did nothing really change? Is some of this conventional wisdom simply maintained over time, or has it always been inaccurate? We use longitudinal data from Ghana to assess some of the facts and to evaluate whether gender patterns have changed over time. We focus on five main themes: land, cropping patterns, market participation, agricultural inputs, and employment. We add to the literature by showing new facts and evidence from more than 20 years. Results are varied and highlight the difficulty of making general statements about gender in agriculture.
The United Nations Sustainable Development Goals have set a triple educational objective: improving access to, quality of, and gender equity in education. This study is the first to document the effectiveness of policies targeting all these objectives simultaneously. We examine the impact of a multifaceted educational program—delivered to 230 randomly selected primary schools in rural India—on students’ participation and performance. We also study the heterogeneity of this impact across gender and initial school performance, and its sustainability over two years. Although the program specifically targeted outof-school girls for enrollment, the learning component of the program targeted boys and girls equally. We find that the program reduced gender gaps in school retention and improved learning during the first year of implementation. However, targeting different educational goals (access, quality, and equity) did not yield sustained effects on school attendance or learning, nor did it bridge gender inequalities in school performance over the two-year period.
Height-for-age z-scores (HAZs) and stunting status (HAZ<−2) are widely used to measure child nutrition and population health. However, accurate measurement of age is nontrivial in populations with low levels of literacy and numeracy, limited use of formal birth records, and weak cultural norms surrounding birthdays and calendar use. In this paper we use Demographic and Health Surveys data from 62 countries over the period 1990–2014 to describe two statistical artifacts indicative of misreporting of age. The first artifact consists of lower HAZs for children reported to be born earlier in each calendar year (resulting in implausibly large HAZ gaps between January- and December-born children), which is consistent with some degree of randomness in month of birth reporting. The second artifact consists of lower HAZs for children with a reported age just below a round age (and hence implausibly large HAZ gaps between children with reported ages just below and just above round ages), which is consistent with survey respondents rounding ages down more than they round ages up. Using simulations, we show how these forms of misreporting child age can replicate observed patterns in the data, and that they have small impacts on estimated rates of stunting but important implications for research that relies on birth timing to identify exposure to various risks, particularly seasonal shocks. Moreover, the misreporting we identify differs from conventional age-heaping concerns, implying that the metrics described above could constitute useful markers of measurement error in nutrition surveys. Future research should also investigate ways to reduce these errors.
Participation in household decisions and control over assets are often used as indicators of bargaining power. Yet spouses do not necessarily provide the same answers to questions about these topics. We examine differences in spouses’ answers to questions regarding who participates in decisions about household activities, who owns assets, and who decides to purchase assets. Disagreement is substantial and systematic, with women more likely to report joint ownership or decision making and men more likely to report sole male ownership or decision making. Analysis of correlations between agreement and women’s well-being finds that agreement on joint decision making/ownership is generally positively associated with beneficial outcomes for women compared with agreement on sole male decision making/ownership. Cases of disagreement where women recognize their involvement but men do not are also positively associated with good outcomes for women, but often to a lesser extent than when men agree that women are involved.
This study investigates the consequences of poor implementation in public workfare programs, focusing on the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) in India. Using nationally representative data, we test empirically for a discouraged worker effect arising from either of two mechanisms: administrative rationing of jobs among those who seek work and delays in wage payments. We find strong evidence at the household and district levels that administrative rationing discourages subsequent demand for work. Delayed wage payments seem to matter significantly during rainfall shocks. We find further that rationing is strongly associated with indicators of implementation ability such as staff capacity. Politics appears to play only a limited role. The findings suggest that assessments of the relevance of public programs over their lifecycle need to factor in implementation quality.
Adoption of quality-enhancing technologies is often driven largely by farmers’ expected returns from these technologies. Without proper grades, standards, and certification systems, however, farmers may remain uncertain about the actual financial return associated with their quality-enhancing investments. This report summarizes the outcomes of a short video-based randomized training intervention on wheat quality measurement and collective marketing among 15,000 wheat farmers in Ethiopia. Our results suggest that the intervention led to significant changes in farmers’ commercialization behaviors—namely, it prompted farmers to adopt behaviors geared toward assessing their wheat’s quality using easily implementable test-weight measures, assessing the accuracy of the equipment used by buyers in their kebeles (scales, in particular), and contacting more than one buyer before concluding a sale. The training also led to improvements in share of output sold, price received, and collective marketing, albeit with important limitations. First, farmers who measured their wheat quality received a higher price, but only if their wheat was of higher quality. Second, farmers who found that their wheat was of higher quality were more reluctant to aggregate their wheat (that is, sell their products through local cooperatives) than those who found that their wheat was of lower quality. Lastly, the training intervention led to better use of fertilizer in the following season. Our discovery that a short training intervention can significantly change farmers’ marketing and production behavior should encourage the development of further interventions aimed at enhancing farmers’ adoption of improved technologies and commercialization.
The focus in this paper is on two relatively large maize-based contract farming (CF) schemes with fixed input packages (Masara and Akate) and a number of smaller and more flexible CF schemes in a remote region in Ghana (Upper West). Results show that these schemes led to improved technology adoption and yield increases. In addition, a subset of maize farmers with high yield improvements due to CF participation had high gross margins. However, on average, yields were not high enough to compensate for higher input requirements and cost of capital. On average, households harvest 29–30 bags (100 kg each), or 2.9–3.0 metric tons, of maize per hectare, and the required repayment for fertilizer, seed, herbicide, and materials provided under the average CF scheme is 21–25 bags (50 kg each) per acre, or 2.6–3.0 tons per hectare, which leaves almost none for home consumption or for sale. Despite higher yields, the costs to produce 1 ton of maize under CF schemes remain high on average—higher than on maize farms without CF schemes, more than twice that of several countries in Africa, and more than seven times higher than that of major maize-exporting countries (the United States, Brazil, and Argentina). Sustainability of these CF schemes will depend on, from the firms’ perspective, minimizing the costs to run and monitor them, and from the farmers’ perspective, developing and promoting much-improved varieties and technologies that may lead to a jump in yields and gross margins to compensate for the high cost of credit.
While there is a large body of literature on the negative health effects of air pollution, there is much less written about its effects on cognitive performance for the whole population. This paper studies the effects of contemporaneous and cumulative exposure to air pollution on cognitive performance based on a nationally representative survey in China. By merging a longitudinal sample at the individual level with local air-quality data according to the exact dates and counties of interviews, we find that contemporaneous and cumulative exposure to air pollution impedes both verbal and math scores of survey subjects. Interestingly, the negative effect is stronger for men than for women. Specifically, the gender difference is more salient among the old and less educated in both verbal and math tests.
Reducing food loss and waste are important policy objectives prominently featured in the United Nation’s Sustainable Development Goals. To optimally design interventions targeted at reducing losses, it is important to know where losses are concentrated between the farm and fork. This paper measures farmlevel postharvest losses for three main crops—maize, soy, and groundnuts—among 1,200 households in Malawi. Farmers answered a detailed questionnaire designed to learn about losses during harvest and transport, processing, and storage and which measures both total losses and reductions in crop quality. The findings indicate that fewer than half of households report suffering losses conditional on growing each crop. In addition, conditional on losses occurring, the loss averages between 5 and 12 percent of the farmer’s total harvest. Compared to nationally representative data that measure losses using a single survey question, this study documents a far greater percentage of farmers experiencing losses, though the unconditional proportion lost is similar. We find that losses are concentrated in harvest and processing activities for groundnuts and maize; for soy, they are highest during processing. Existing interventions have primarily targeted storage activities; however, these results suggest that targeting other activities may be worthwhile.