Table 1.
Abay et al. [1] | Adjognon et al. [2] | Aggarwall et al. [3] | Amare et al. [5] | Ceballos et al. [16] | Kansiime et al. [37] | Mahmud and Riley [41] | Hirvonen et al. [33] | |
---|---|---|---|---|---|---|---|---|
A: Published? | IFPRI Discussion Paper | Food Policy | NBER Working Paper | IFPRI Discussion Paper | World Development | World Development | World Development | American Journal of Agricultural Economics |
B: Geographic area | Rural Ethiopia | Mali | Rural Liberia and rural Malawi | Nigeria | Haryana and Odisha, India | Kenya and Uganda | Rural Uganda | Addis Ababa, Ethiopia |
C: Geographically representative? | No | Yes | No | Yes | No | No | No | Yes |
D: Data source | Phone survey from ongoing project | LSMS and follow-up phone surveyi | Phone survey from ongoing project | LSMS and follow-up phone survey | Phone survey from ongoing project | Online survey | Phone survey from ongoing project | Phone survey from ongoing project |
E: Pre-survey date | March–August 2019 | October 2018–July 2019 | January 2020 | July 2018–February 2019 | April 2020 | Pre-pandemic recall | March 2020 | August–September 2019 |
F: Post-survey date | June 2020 | May–June 2020 | August 2020 | April–May 2020 | May 2020 | April 2020 | May 2020 | May–August 2020 |
G: Short-term results? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
H: Empirical method | Difference-in-differencesii | Pre–post comparison and difference-in-differences | Panel data with fixed effects | Difference-in-differences | Pre–post comparison | Pre–post comparison | Pre–post comparison | Pre–post comparison and difference-in-differences |
I: Outcome variable | Food gapiii | Food Insecurity Experience Scale (FIES)iv | Diet diversity, hunger scale, and food consumption | Partial Food Insecurity Experience Scale (FIES) | Food availability and access indicators | Food Insecurity Experience Scale (FIES) | Food expenditures per adult equivalent | Food consumption and diet diversity |
J: Key finding | Increase in food insecurity | Increase in food insecurity | No change in food insecurity | Increase in food insecurity | Mixed results | Increase in food insecurity | Increase in food expenditures | No change in food insecurity |
K: Do pandemic-related disruptions explain the result?v | Yes | Yes | N/A, markets disrupted but food insecurity remained stable | Yes | Yes | Yes | Yes | N/A, income and job loss but food consumption remained stable |
L: Do results differ in urban vs. rural areas | N/A | Yes | N/A | No | N/A | N/A | N/A | N/A |
M: Do results differ by socio-economic status? | N/A | N/A | N/A | Yes, more adverse changes for poorer households | N/A | N/A | Yes, more adverse changes for wealthier households | N/A |
N: Do results differ by access to social support? | Yes, Productive Safety Net Program (PSNP) | N/A | Yes, cash transfers | N/A | N/A | N/A | N/A | N/A |
This list includes the authors’ tabulation of studies that analyze an outcome variable measuring some dimension of food insecurity over time with measures pre-dating the pandemic and measures collected after the onset of the pandemic. Many studies, which we discuss in this article, do not meet these criteria
iThe Living Standards Measurement Study (LSMS) is a series of household surveys conducted by the World Bank
iiA difference-in-difference regression specification is like a pre–post comparison, but the pre–post difference is combined with a difference across two groups
iiiThe “food gap” is the number of months the household was not able to satisfy its food needs [13]
ivThe Food Insecurity Experience Scale (FIES) is a measurement tool used to estimate the extent of the multidimensional experience of food insecurity [50]
vPandemic-related disruptions can include government-mandated lockdowns or individual behavior change due to fear of contracting COVID-19