Evidence map›Paper›PMID 39671375›Full record

ArticlePloS one2024

Estimating the collapse of Afghanistan's economy using nightlights data.

Till Raphael Saenger, Ethan B Kapstein, Ronnie Sircar

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Till Raphael SaengerOperations Research and Financial Engineering, Princeton University, Princeton, New Jersey, United States of America.ORCID 0000-0002-0450-675X
Ethan B KapsteinEmpirical Studies of Conflict Project (ESOC), School of Public and International Affairs, Princeton University, Princeton, New Jersey, United States of America.
Ronnie SircarOperations Research and Financial Engineering, Princeton University, Princeton, New Jersey, United States of America.

Funding

Princeton Institute for International and Regional Studies (PIIRS)
6 · The paper itself

Abstract

The Taliban's takeover of Afghanistan in August 2021 is associated with a rapid collapse of the Afghan economy. However, assessing the scale of this collapse is proving difficult as official data are scarce. To complement qualitative measures obtained through rapid surveys of the population, we employ monthly nightlights data as a proxy measure for changes in economic activity. By combining a synthetic control approach with nightlights data from neighboring countries, our analysis reveals a significant shift in Afghanistan's economic trajectory: from positive growth to a deep recession, even considering the impact of the Covid pandemic. Our estimations suggest that Afghanistan's GDP has declined by approximately 16% from 2020 to 2022, notably less than the World Bank's current survey-based measure of a 28% decline in 2021 alone. In contrast to other available estimates, our reporting includes confidence intervals to convey the uncertainties surrounding these point estimates. This study showcases the potential applicability of our methodology and the use of appropriately processed monthly nightlights data in scenarios where administrative data is limited or unreliable.

Indexed as

COVID-19AfghanistanEconomic RecessionGross Domestic ProductHumansPandemicsSARS-CoV-2

Identifiers

PMID39671375
PMCPMC11642984

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.