Respondent Fatigue Reduces Dietary Diversity Scores Reported from Mobile Phone Surveys in Ethiopia during the COVID-19 Pandemic.

BACKGROUND: The computer-assisted telephone interview (CATI) has been used extensively during the COVID-19 pandemic, but the effects of respondent fatigue during these interviews on responses to questions about diet are unknown. OBJECTIVES: We designed an experiment that randomized the placement of a survey module on the dietary diversity of rural Ethiopian women and assessed whether responses were altered by placing this module earlier or later in a phone survey. METHODS: Two CATIs were implemented; in the second, women were randomly assigned to answer questions on diet diversity either earlier or later in the interview. Women's Dietary Diversity Scores were the primary outcome. Secondary outcomes were dichotomous measures of consumption from four or more and five or more food groups and consumption of food groups consumed frequently, often, and rarely. Impacts were assessed using a respondent fixed effects model. RESULTS: Delaying the food consumption module by 15 min in the interview led to an 8%-17% (P < 0.01) decrease in reported Dietary Diversity Scores, a 28% (P < 0.01) decrease in the number of women who consumed a minimum of four dietary groups, and a 40% (P < 0.01) and 11% (P < 0.01) decrease in the reporting of consumption of animal source foods and fruits and vegetables, respectively. Moving the food consumption module closer to the beginning of the interview increased the number of reported food groups consumed by older women, women with a below-median education level, and women in larger households. CONCLUSIONS: Our findings suggest that comparisons of descriptive statistics across studies and countries on metrics such as food security and dietary quality may be confounded by where these modules are placed in the interview, thus highlighting trade-offs between volume of information collected and data quality when designing CATI surveys.

Misperceiving and misreporting input quality: Implications for input use and productivity.

Farmers in developing countries routinely misperceive or misreport input quality for various reasons, which introduces substantial measurement error in farm survey data. In this paper, we motivate and illustrate, both analytically and empirically, the inferential and behavioral implications of misperception and misreporting using a unique crop variety identification data from Nigeria. Using a non-parametric framework for testing the presence of measurement error, we show that crop variety misclassification in our data is mostly driven by misperception. We then demonstrate the inferential challenges of treating misperception as misreporting and vice versa. Finally, we show that misperception induces crowding-in(out) of complementary agricultural inputs but these misperception-driven input allocations may not necessarily be yield-enhancing. As such, rectifying misperception by addressing agricultural input market imperfections may improve farmers' investment choices and productivity outcomes.

Access to health services, food, and water during an active conflict: Evidence from Ethiopia.

Civil conflict began in Ethiopia in November 2020 and has reportedly caused major disruptions in access to health services, food, and related critical services, in addition to the direct impacts of the conflict on health and well-being. However, the population-level impacts of the conflict have not yet been systematically quantified. We analyze high frequency phone surveys conducted by the World Bank, which included measures of access to basic services, to estimate the impact of the first phase of the war (November 2020 to May 2021) on households in Tigray. After controlling for sample selection, a difference-in-differences approach is used to estimate causal effects of the conflict on population access to health services, food, and water and sanitation. Inverse probability weighting is used to adjust for sample attrition. The conflict has increased the share of respondents who report that they were unable to access needed health services by 35 percentage points (95% CI: 14-55 pp) and medicine by 8 pp (95% CI:2-15 pp). It has also increased the share of households unable to purchase staple foods by 26 pp (95% CI:7-45 pp). The share of households unable to access water did not increase, although the percentage able to purchase soap declined by 17 pp (95% CI: 1-32 pp). We document significant heterogeneity across population groups, with disproportionate effects on the poor, on rural populations, on households with undernourished children, and those living in communities without health facilities. These significant disruptions in access to basic services likely underestimate the true burden of conflict in the affected population, given that the conflict has continued beyond the survey period, and that worse-affected households may have higher rates of non-response. Documented spatial and household-level heterogeneity in the impact of the conflict may help guide rapid post-conflict responses.

COVID-19-Induced Disruptions of School Feeding Services Exacerbate Food Insecurity in Nigeria.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic and associated lockdown measures have disrupted educational and nutrition services globally. Understanding the overall and differential impacts of disruption of nutritional (school feeding) services is critical for designing effective post-COVID-19 recovery policies. OBJECTIVES: The aim of this study was to examine the impact of COVID-19-induced disruption of school feeding services on household food security in Nigeria. METHODS: We combined household-level, pre-COVID-19 in-person survey data with postpandemic phone survey data, along with local government area (LGA)-level information on access to school feeding services. We used a difference-in-difference approach and examined temporal trends in the food security of households with and without access to school feeding services. Of the sampled households, 83% live in LGAs with school feeding services. RESULTS: Households experienced an increase in food insecurity in the post-COVID-19 survey round. The share of households skipping a meal increased by 47 percentage points (95% CI: 44-50 percentage points). COVID-19-induced disruptions of school feeding services increased households' experiences of food insecurity, increasing the probability of skipping a meal by 9 percentage points (95% CI: 3-17 percentage points) and the likelihood of going without eating for a whole day by 3 percentage points (95% CI: 2-11 percentage points). Disruption of school feeding services is associated with a 0.2 SD (95% CI: 0.04-0.41 SD) increase in the food insecurity index. Households residing in states experiencing strict lockdown measures reported further deterioration in food insecurity. Single mothers and poorer households experienced relatively larger deteriorations in food security due to disruption of school feeding services. CONCLUSIONS: Our findings show that COVID-19-induced disruptions in educational and nutritional services have exacerbated households' food insecurity in Nigeria. These findings can inform the designs of immediate and medium-term policy responses, including the designs of social protection policies and alternative programs to substitute nutritional services affected by the pandemic.

COVID-19 and food security: Panel data evidence from Nigeria.

This paper combines pre-pandemic face-to-face survey data with follow up phone surveys collected in April-May 2020 to examine the implication of the COVID-19 pandemic on household food security and labor market participation outcomes in Nigeria. To examine these relationships and implications, we exploit spatial variation in exposure to COVID-19 related infections and lockdown measures, along with temporal differences in our outcomes of interest, using a difference-in-difference approach. We find that households exposed to higher COVID-19 case rates or mobility lockdowns experience a significant increase in measures of food insecurity. Examining possible transmission channels for this effect, we find that the spread of the pandemic is associated with significant reductions in labor market participation. For instance, lockdown measures are associated with 6-15 percentage points increase in households' experience of food insecurity. Similarly, lockdown measures are associated with 12 percentage points reduction in the probability of participation in non-farm business activities. These lockdown measures have limited implications on wage-related activities and farming activities. In terms of food security, households relying on non-farm businesses, poorer households, and those living in remote and conflicted-affected zones have experienced relatively larger deteriorations in food security. These findings can help inform immediate and medium-term policy responses, including social protection policies aiming at ameliorating the impacts of the pandemic.

Night light intensity and women's body weight: Evidence from Nigeria.

The prevalence of overweight and obesity are increasing in many African countries and hence becoming regional public health challenges. We employ satellite-based night light intensity data as a proxy for urbanization to investigate the relationship between urbanization and women's body weight. We use two rounds of the Demographic and Health Survey data from Nigeria. We employ both nonparametric and parametric estimation approaches that exploit both the cross-sectional and longitudinal variations in night light intensities. Our empirical analysis reveals nonlinear relationships between night light intensity and women's body weight measures. Doubling the sample's average level of night light intensity is associated with up to a ten percentage point increase in the probability of overweight. However, despite the generally positive relationship between night light intensity and women's body weight, the strength of the relationship varies across the assorted stages of night light intensity. Early stages of night light intensity are not significantly associated with women's body weight, while higher stages of nightlight intensities are associated with higher rates of overweight and obesity. Given that night lights are strong predictors of urbanization and related economic activities, our results hint at nonlinear relationships between various stages of urbanization and women's body weight.

An empirical analysis of risk-taking in car driving and other aspects of life.

The link between risk-taking behavior in various aspects of life has long been an area of debate among economists and psychologists. Using an extensive data set from Denmark, this study provides an empirical investigation of the link between risky driving and risk taking in other aspects of life, including risk-taking behavior in financial and labor-market decisions. Specifically, we establish significant positive correlations between individuals' risk-taking behavior in car driving and their risk-taking behavior in financial and labor-market decisions. However, we find that the strength of these correlations vary significantly between genders, and across risk decisions. These correlations and their differences across genders get stronger when we construct more "homogenous" groups by restricting our sample to those individuals with at least some stock-market participation. Overall, the empirical results in this study suggest that risk-taking behavior in various aspects of life can be associated, and our results corroborate previous evidence on the link between individuals' risk preferences across various aspects of life. This implies that individuals' driving behavior, which is commonly unobservable, can be more fully understood using observable labor market and financial decisions of individuals.