Telescoping errors occur if survey respondents misdate consumption or expenditure episodes by including events from outside the reference period in their recall. Concern about telescoping influenced the design of early Living Standards Measurement Study (LSMS) surveys, which used a two-visit interview format to allow a bounded recall. This design fell out of favor although not for evidence-based reasons. Recent guidelines to harmonize food data collection in low- and middle-income countries by using one-week recall increase the relevance of telescoping because errors spread over a shorter period will loom larger. To provide evidence on telescoping, we conducted a survey experiment in Ethiopia, randomly assigning a balanced sample – either a two-visit bounded recall or a single visit unbounded recall. The average value of reported food consumption is 16 percent higher in the unbounded single visit recall relative to the two-visit bounded recall. Put differently, in this experiment, telescoping errors amount, on average, to an entire extra day worth of consumption being included in the report for the last seven days. Most of the error is explained by difference in reporting of spending on less frequently consumed, protein-rich foods, so apparent diet diversity and dietary quality indicators are likely to be overstated when using unbounded recall.

The COVID-19 pandemic has spurred interest in the use of remote data collection techniques, including phone surveys, in developing country contexts. This interest has sparked new methodological work focusing on the advantages and disadvantages of different forms of remote data collection, the use of incentives to increase response rates and how to address sample representativeness. By contrast, attention given to associated response fatigue and its implications remains limited. To assess this, we designed and implemented an experiment that randomized the placement of a survey module on women’s dietary diversity in the survey instrument. We also examine potential differential vulnerabilities to fatigue across food groups and respondents. We find that delaying the timing of mothers’ food consumption module by 15 minutes leads to 8-17 percent decrease in the dietary diversity score and a 28 percent decrease in the number of mothers who consumed a minimum of four dietary groups. This is driven by underreporting of infrequently consumed foods; the experimentally induced delay in the timing of mothers’ food consumption module led to a 40 and 11 percent decrease in the reporting of consumption of animal source foods, and fruits and vegetables, respectively. Our results are robust to changes in model specification and pass falsification tests. Responses by older and less educated mothers and those from larger households are more vulnerable to measurement error due to fatigue.

This paper combines pre-pandemic face-to-face survey data with follow up phone surveys collected in April-May 2020 to quantify the overall and differential impacts of COVID-19 on household food security, labor market participation and local food prices in Nigeria. 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 those households exposed to higher COVID-19 cases or mobility lockdowns experience a significant increase in measures of food insecurity. Examining possible transmission channels for this effect, we find that COVID-19 significantly reduces labor market participation and increases food prices. We find that impacts differ by economic activities and households. For instance, lockdown measures increased households' experience of food insecurity by 12 percentage points and reduced the probability of participation in non-farm business activities by 13 percentage points. These lockdown measures have smaller impacts on wage-related activities and farming activities. In terms of food security, households relying on non-farm businesses, poorer households, those with school-aged children, and those living in remote and conflicted-affected zones have experienced relatively larger deteriorations in food insecurity. These findings can help inform immediate and medium-term policy responses, including social protection policies aiming at ameliorating the impacts of the pandemic, as well as guide targeting strategies of governments and international donor agencies by identifying the most impacted sub-populations.

The Consumer Expenditure (CE) surveys are the only source of information on the complete range of consumers' expenditures and incomes in the United States, as well as the characteristics of those consumers. The CE consists of two separate surveys: (1) a national sample of households interviewed five times at three-month intervals; and (2) a separate national sample of households that complete two consecutive one-week expenditure diaries. For more than 40 years, these surveys, the responsibility of the Bureau of Labor Statistics (BLS), have been the principal source of knowledge about changing patterns of consumer spending in the U.S. population. In February 2009, BLS initiated the Gemini Project, the aim of which is to redesign the CE surveys to improve data quality through a verifiable reduction in measurement error with a particular focus on underreporting. The Gemini Project initiated a series of information-gathering meetings, conference sessions, forums, and workshops to identify appropriate strategies for improving CE data quality. As part of this effort, BLS requested the National Research Council's Committee on National Statistics (CNSTAT) to convene an expert panel to build on the Gemini Project by conducting further investigations and proposing redesign options for the CE surveys. The charge to the Panel on Redesigning the BLS Consumer Expenditure Surveys includes reviewing the output of a Gemini-convened data user needs forum and methods workshop and convening its own household survey producers workshop to obtain further input. In addition, the panel was tasked to commission options from contractors for consideration in recommending possible redesigns. The panel was further asked by BLS to create potential redesigns that would put a greater emphasis on proactive data collection to improve the measurement of consumer expenditures. Measuring What We Spend summarizes the deliberations and activities of the panel, discusses the conclusions about the uses of the CE surveys and why a redesign is needed, as well as recommendations for the future.

Two years after the onset of the COVID-19 pandemic, the health, economic, and social disruptions caused by this global crisis continue to evolve. The impacts of the pandemic are likely to endure for years to come, with poor, marginalized, and vulnerable groups the most affected. In COVID-19 & Global Food Security: Two Years Later, the editors bring together contributions from new IFPRI research, blogs, and the CGIAR COVID-19 Hub to examine the pandemic’s effects on poverty, food security, nutrition, and health around the world. This volume presents key lessons learned on food security and food system resilience in 2020 and 2021 and assesses the effectiveness of policy responses to the crisis. Looking forward, the authors consider how the pandemic experience can inform both recovery and longer-term efforts to build more resilient food systems.

As in most low and middle-income countries, the paucity of timely economic data in Ethiopia makes it difficult to understand the economic impacts of the COVID-19 pandemic. To mitigate this, several organizations have launched phone surveys to gather more information about the crisis. This research report reviews the available phone survey evidence as of mid-August 2020 and identifies knowledge gaps. First, the available evidence suggest that the pandemic has not led to unusually large increases in food prices. However, a case study in the vegetable sector suggests that price dynamics are highly context and crop specific, calling for more comprehensive price monitoring to identify food value chains and areas where food price increases may have been unusually rapid. Second, employment losses have concentrated on informal sector workers while redundancies in the formal sector have been less significant. Third, there is considerable uncertainty about the income, poverty, and food security implications of this crisis. While most households report income losses, the qualitative and subjective nature of these questions meanthat the magnitudes of these losses are unknown. In Addis Ababa, less subjective food security measures indicate only small negative changes in household food and nutrition security. Finally, due to limited access to mobile phones in rural areas, we have imperfect and incomplete information on how this crisis is affecting rural households.