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Monitoring poverty reduction requires frequent microdata on household welfare that can be compared over time. Such data are unavailable in many countries, given limited statistical capacity, shocks that prevent data collection, and regular improvements to survey methodology. This paper demonstrates how jointly deploying backcasting and survey-to-survey imputations can help to overcome this in a setting where estimating a poverty trend is badly needed, given the scale of the poverty-reduction challenge, but where survey-to-survey imputations are more likely to succeed and can be directly tested. In Nigeria, the most recent official survey that can be used to construct an imputation model was collected through the same methodology and in the same year as the target survey. This data landscape could arise in other settings where the methodology for smaller, interstitial surveys is updated more quickly than for larger, official consumption surveys. Naively comparing Nigeria's last two official consumption surveys would suggest that the poverty rate fell by 17 percentage points between 2009 and 2019. Yet the methods presented in this paper both suggest a much smaller reduction in poverty of between 3 and 7 percentage points, echoing Nigeria's performance on nonmonetary welfare indicators over the same period. The paper therefore provides guidance on when and how backcasting and survey-to-survey imputation techniques can be most valuable for monitoring poverty reduction. [ABSTRACT FROM AUTHOR]

The Food Insecurity Experience Scale (FIES), which combines three food-access dimensions into a single indicator, is rapidly being incorporated into national statistical systems. However, there is no prediction about how one of the incorporated dimensions—subjective experiences associated with food insecurity—overlaps with poor food consumption. Using data from West Africa, this study illustrates that in 4 out of 10 countries, there is a similar prevalence of food insecurity according to the FIES among segments of the population that are likely undernourished and segments that are likely not undernourished. And in 5 out of 10 countries, there is a relatively large prevalence of food insecurity according to the FIES in the segments of the population that are least likely to be undernourished. Combined, the results offer guidance to policymakers when choosing food-access indicators and illustrate the importance of using the FIES along with other food-access measures. [ABSTRACT FROM AUTHOR]