The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda
Open accessAbstract
We provide evidence on the economic and well-being impact of the Covid-19 lockdown on a sample of households in rural Uganda. Our sample consists of 1,277 households randomly drawn from 114 rural villages in western Uganda and surveyed in-person in early March 2020, just before the lockdown. We followed up with this sample in May 2020, reaching over 85% of them by phone. We find a large decline of 60% in household non-farm income due to household enterprise profits and labour income being almost wiped-out post the lockdown. Households respond to this loss of income in three key ways. One, there is a 40% decrease in food expenditure per adult equivalent. Two, they use up nearly 50% of their savings and borrow more, but have not yet liquidated their fixed assets or sold livestock. Three, they increase total household labour supply to household farm and livestock, more than making up for the decline in supply to enterprises and labour outside the household. We find a decrease in well-being as a result of this: there is an increase in the likelihood of missing a meal, a decline in reported satisfaction with quality of life, a higher likelihood of having a major argument with their spouse and an increase in perceived frequency of intimate partner violence against women in the village. The negative effects of the lockdown are greater for households that were wealthier at baseline, since these households were more reliant on enterprise and salaried income. These results were one of the first to show a large negative impact of the lockdown for a rural population. Our findings are important to policy makers in Uganda and other developing countries as they suggest income and consumption support is needed for rural households.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reducing Crime and Violence: Experimental Evidence from Cognitive Behavioral Therapy in Liberia
Blattman, C., Jamison, J. C., & Sheridan, M. (2017) · American Economic Review · doi:10.1257/aer.20150503 · Cited by 355
Asanov, I., Flores, F., McKenzie, D., Mensmann, M., & Schulte, M. (2021) · World Development · doi:10.1016/j.worlddev.2020.105225 · Cited by 232
Cited by
COVID-19 and the rise of intimate partner violence
Agüero, J. M. (2021) · World Development · doi:10.1016/j.worlddev.2020.105217 · Cited by 325
Metadata
- Authors
- Mahmud, M., & Riley, E.
- Venue
- World Development
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 140
- Pages
- 105318
- ISSN
- 0305-750X (ISSN-L)
- OpenAlex
- W3109829094
- Cited by
- 260
- References
- 2
- FWCI
- 35.32
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda. https://app.cochat.ai/papers/10.1016/j.worlddev.2020.105318
- The paper
- Mahmud, M., & Riley, E. (2021). Household response to an extreme shock: Evidence on the immediate impact of the Covid-19 lockdown on economic outcomes and well-being in rural Uganda. World Development. https://doi.org/10.1016/j.worlddev.2020.105318
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.