The True Cost of War

Measuring the economic impact of a war is a daunting task. Common indicators like casualties, infrastructure damages, and gross domestic product effects provide useful benchmarks, but they fail to capture the complex welfare effects of wars. This paper proposes a new method to estimate the welfare impact of conflicts and remedy common data constraints in conflict-affected environments. The method first estimates how agents regard spatial welfare differentials by voting with their feet, using pre-conflict data. Then, it infers a lower-bound estimate for the conflict-driven welfare shock from partially observed post-conflict migration patterns. A case study of the conflict in Eastern Ukraine between 2014 and 2019 shows a large lower-bound welfare loss for Donetsk residents equivalent to between 7.28 and 24.79 percent of life-time income depending on agents’ time preferences.

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Bibliographic Details
Main Authors: Artuc, Erhan, Gomez Parra, Nicolas, Onder, Harun
Format: Working Paper biblioteca
Language:English
English
Published: World Bank, Washington, DC 2022-10
Subjects:CONFLICT, REVEALED-PREFERENCES, DATA CONSTRAINTS, DATA CONSTRAINTS INTERNALLY DISPLACED PEOPLE, BURDEN OF WAR, PSYCHO-SOCIAL WAR TRAUMA, ECONOMIC IMPACT ASSESSMENTS OF WAR, ARMED CONFLICT BURDEN, CONFLICT-RELATED INCOME SHOCK, FORCED DISPLACEMENT,
Online Access:http://documents.worldbank.org/curated/en/099846210202232755/IDU01a8c972b0b88b046e00a6f80b32a5b75366e
http://hdl.handle.net/10986/38243
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spelling dig-okr-10986382432022-11-03T05:10:53Z The True Cost of War Artuc, Erhan Gomez Parra, Nicolas Onder, Harun CONFLICT REVEALED-PREFERENCES DATA CONSTRAINTS DATA CONSTRAINTS INTERNALLY DISPLACED PEOPLE BURDEN OF WAR PSYCHO-SOCIAL WAR TRAUMA ECONOMIC IMPACT ASSESSMENTS OF WAR ARMED CONFLICT BURDEN CONFLICT-RELATED INCOME SHOCK FORCED DISPLACEMENT Measuring the economic impact of a war is a daunting task. Common indicators like casualties, infrastructure damages, and gross domestic product effects provide useful benchmarks, but they fail to capture the complex welfare effects of wars. This paper proposes a new method to estimate the welfare impact of conflicts and remedy common data constraints in conflict-affected environments. The method first estimates how agents regard spatial welfare differentials by voting with their feet, using pre-conflict data. Then, it infers a lower-bound estimate for the conflict-driven welfare shock from partially observed post-conflict migration patterns. A case study of the conflict in Eastern Ukraine between 2014 and 2019 shows a large lower-bound welfare loss for Donetsk residents equivalent to between 7.28 and 24.79 percent of life-time income depending on agents’ time preferences. 2022-11-02T16:59:44Z 2022-11-02T16:59:44Z 2022-10 Working Paper http://documents.worldbank.org/curated/en/099846210202232755/IDU01a8c972b0b88b046e00a6f80b32a5b75366e http://hdl.handle.net/10986/38243 English en Policy Research Working Papers;10217 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Policy Research Working Paper Publications & Research Ukraine
institution Banco Mundial
collection DSpace
country Estados Unidos
countrycode US
component Bibliográfico
access En linea
databasecode dig-okr
tag biblioteca
region America del Norte
libraryname Biblioteca del Banco Mundial
language English
English
topic CONFLICT
REVEALED-PREFERENCES
DATA CONSTRAINTS
DATA CONSTRAINTS INTERNALLY DISPLACED PEOPLE
BURDEN OF WAR
PSYCHO-SOCIAL WAR TRAUMA
ECONOMIC IMPACT ASSESSMENTS OF WAR
ARMED CONFLICT BURDEN
CONFLICT-RELATED INCOME SHOCK
FORCED DISPLACEMENT
CONFLICT
REVEALED-PREFERENCES
DATA CONSTRAINTS
DATA CONSTRAINTS INTERNALLY DISPLACED PEOPLE
BURDEN OF WAR
PSYCHO-SOCIAL WAR TRAUMA
ECONOMIC IMPACT ASSESSMENTS OF WAR
ARMED CONFLICT BURDEN
CONFLICT-RELATED INCOME SHOCK
FORCED DISPLACEMENT
spellingShingle CONFLICT
REVEALED-PREFERENCES
DATA CONSTRAINTS
DATA CONSTRAINTS INTERNALLY DISPLACED PEOPLE
BURDEN OF WAR
PSYCHO-SOCIAL WAR TRAUMA
ECONOMIC IMPACT ASSESSMENTS OF WAR
ARMED CONFLICT BURDEN
CONFLICT-RELATED INCOME SHOCK
FORCED DISPLACEMENT
CONFLICT
REVEALED-PREFERENCES
DATA CONSTRAINTS
DATA CONSTRAINTS INTERNALLY DISPLACED PEOPLE
BURDEN OF WAR
PSYCHO-SOCIAL WAR TRAUMA
ECONOMIC IMPACT ASSESSMENTS OF WAR
ARMED CONFLICT BURDEN
CONFLICT-RELATED INCOME SHOCK
FORCED DISPLACEMENT
Artuc, Erhan
Gomez Parra, Nicolas
Onder, Harun
The True Cost of War
description Measuring the economic impact of a war is a daunting task. Common indicators like casualties, infrastructure damages, and gross domestic product effects provide useful benchmarks, but they fail to capture the complex welfare effects of wars. This paper proposes a new method to estimate the welfare impact of conflicts and remedy common data constraints in conflict-affected environments. The method first estimates how agents regard spatial welfare differentials by voting with their feet, using pre-conflict data. Then, it infers a lower-bound estimate for the conflict-driven welfare shock from partially observed post-conflict migration patterns. A case study of the conflict in Eastern Ukraine between 2014 and 2019 shows a large lower-bound welfare loss for Donetsk residents equivalent to between 7.28 and 24.79 percent of life-time income depending on agents’ time preferences.
format Working Paper
topic_facet CONFLICT
REVEALED-PREFERENCES
DATA CONSTRAINTS
DATA CONSTRAINTS INTERNALLY DISPLACED PEOPLE
BURDEN OF WAR
PSYCHO-SOCIAL WAR TRAUMA
ECONOMIC IMPACT ASSESSMENTS OF WAR
ARMED CONFLICT BURDEN
CONFLICT-RELATED INCOME SHOCK
FORCED DISPLACEMENT
author Artuc, Erhan
Gomez Parra, Nicolas
Onder, Harun
author_facet Artuc, Erhan
Gomez Parra, Nicolas
Onder, Harun
author_sort Artuc, Erhan
title The True Cost of War
title_short The True Cost of War
title_full The True Cost of War
title_fullStr The True Cost of War
title_full_unstemmed The True Cost of War
title_sort true cost of war
publisher World Bank, Washington, DC
publishDate 2022-10
url http://documents.worldbank.org/curated/en/099846210202232755/IDU01a8c972b0b88b046e00a6f80b32a5b75366e
http://hdl.handle.net/10986/38243
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