Migration, externalities, and the diffusion of COVID-19 in South Asia

The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 u...
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Autor*in:	Lee, Jean N. [verfasserIn] Mahmud, Mahreen [verfasserIn] Morduch, Jonathan [verfasserIn] Ravindran, Saravana [verfasserIn] Shonchoy, Abu S. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Finanzwissenschaft / Wirtschaftstheorie / Wirtschaftswissenschaft / Welt
Schlagwörter:	Coronavirus International migration Lockdown Bangladesh India Pakistan

Übergeordnetes Werk:	Enthalten in: Journal of public economics - Amsterdam [u.a.] : Elsevier, 1972, 193
Übergeordnetes Werk:	volume:193

DOI / URN:	10.1016/j.jpubeco.2020.104312

Katalog-ID:	ELV005320054

Internformat


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520			\|a The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries.
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author_variant	j n l jn jnl m m mm j m jm s r sr a s s as ass
matchkey_str	article:18792316:2020----::irtoetraiisnteifsoocv
hierarchy_sort_str	2020
bklnumber	83.52 83.00
publishDate	2020
allfields	10.1016/j.jpubeco.2020.104312 doi (DE-627)ELV005320054 (ELSEVIER)S0047-2727(20)30176-6 DE-627 ger DE-627 rda eng 83.52 bkl 83.00 bkl Lee, Jean N. verfasserin aut Migration, externalities, and the diffusion of COVID-19 in South Asia 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries. 1.1\x Finanzwissenschaft (DE-2867)11526-0 stw 1.2\x Wirtschaftstheorie (DE-2867)10062-0 stw 1.3\x Wirtschaftswissenschaft (DE-2867)10032-2 stw 1.4\x Welt (DE-2867)16809-5 stw Coronavirus International migration Lockdown Bangladesh India Pakistan Mahmud, Mahreen verfasserin aut Morduch, Jonathan verfasserin aut Ravindran, Saravana verfasserin aut Shonchoy, Abu S. verfasserin aut Enthalten in Journal of public economics Amsterdam [u.a.] : Elsevier, 1972 193 Online-Ressource (DE-627)253781752 (DE-600)1460611-2 (DE-576)072794399 1879-2316 nnns volume:193 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.52 Finanzwissenschaft 83.00 Volkswirtschaft: Allgemeines ECS-09001 SKW AR 193
spelling	10.1016/j.jpubeco.2020.104312 doi (DE-627)ELV005320054 (ELSEVIER)S0047-2727(20)30176-6 DE-627 ger DE-627 rda eng 83.52 bkl 83.00 bkl Lee, Jean N. verfasserin aut Migration, externalities, and the diffusion of COVID-19 in South Asia 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries. 1.1\x Finanzwissenschaft (DE-2867)11526-0 stw 1.2\x Wirtschaftstheorie (DE-2867)10062-0 stw 1.3\x Wirtschaftswissenschaft (DE-2867)10032-2 stw 1.4\x Welt (DE-2867)16809-5 stw Coronavirus International migration Lockdown Bangladesh India Pakistan Mahmud, Mahreen verfasserin aut Morduch, Jonathan verfasserin aut Ravindran, Saravana verfasserin aut Shonchoy, Abu S. verfasserin aut Enthalten in Journal of public economics Amsterdam [u.a.] : Elsevier, 1972 193 Online-Ressource (DE-627)253781752 (DE-600)1460611-2 (DE-576)072794399 1879-2316 nnns volume:193 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.52 Finanzwissenschaft 83.00 Volkswirtschaft: Allgemeines ECS-09001 SKW AR 193
allfields_unstemmed	10.1016/j.jpubeco.2020.104312 doi (DE-627)ELV005320054 (ELSEVIER)S0047-2727(20)30176-6 DE-627 ger DE-627 rda eng 83.52 bkl 83.00 bkl Lee, Jean N. verfasserin aut Migration, externalities, and the diffusion of COVID-19 in South Asia 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries. 1.1\x Finanzwissenschaft (DE-2867)11526-0 stw 1.2\x Wirtschaftstheorie (DE-2867)10062-0 stw 1.3\x Wirtschaftswissenschaft (DE-2867)10032-2 stw 1.4\x Welt (DE-2867)16809-5 stw Coronavirus International migration Lockdown Bangladesh India Pakistan Mahmud, Mahreen verfasserin aut Morduch, Jonathan verfasserin aut Ravindran, Saravana verfasserin aut Shonchoy, Abu S. verfasserin aut Enthalten in Journal of public economics Amsterdam [u.a.] : Elsevier, 1972 193 Online-Ressource (DE-627)253781752 (DE-600)1460611-2 (DE-576)072794399 1879-2316 nnns volume:193 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.52 Finanzwissenschaft 83.00 Volkswirtschaft: Allgemeines ECS-09001 SKW AR 193
allfieldsGer	10.1016/j.jpubeco.2020.104312 doi (DE-627)ELV005320054 (ELSEVIER)S0047-2727(20)30176-6 DE-627 ger DE-627 rda eng 83.52 bkl 83.00 bkl Lee, Jean N. verfasserin aut Migration, externalities, and the diffusion of COVID-19 in South Asia 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries. 1.1\x Finanzwissenschaft (DE-2867)11526-0 stw 1.2\x Wirtschaftstheorie (DE-2867)10062-0 stw 1.3\x Wirtschaftswissenschaft (DE-2867)10032-2 stw 1.4\x Welt (DE-2867)16809-5 stw Coronavirus International migration Lockdown Bangladesh India Pakistan Mahmud, Mahreen verfasserin aut Morduch, Jonathan verfasserin aut Ravindran, Saravana verfasserin aut Shonchoy, Abu S. verfasserin aut Enthalten in Journal of public economics Amsterdam [u.a.] : Elsevier, 1972 193 Online-Ressource (DE-627)253781752 (DE-600)1460611-2 (DE-576)072794399 1879-2316 nnns volume:193 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.52 Finanzwissenschaft 83.00 Volkswirtschaft: Allgemeines ECS-09001 SKW AR 193
allfieldsSound	10.1016/j.jpubeco.2020.104312 doi (DE-627)ELV005320054 (ELSEVIER)S0047-2727(20)30176-6 DE-627 ger DE-627 rda eng 83.52 bkl 83.00 bkl Lee, Jean N. verfasserin aut Migration, externalities, and the diffusion of COVID-19 in South Asia 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries. 1.1\x Finanzwissenschaft (DE-2867)11526-0 stw 1.2\x Wirtschaftstheorie (DE-2867)10062-0 stw 1.3\x Wirtschaftswissenschaft (DE-2867)10032-2 stw 1.4\x Welt (DE-2867)16809-5 stw Coronavirus International migration Lockdown Bangladesh India Pakistan Mahmud, Mahreen verfasserin aut Morduch, Jonathan verfasserin aut Ravindran, Saravana verfasserin aut Shonchoy, Abu S. verfasserin aut Enthalten in Journal of public economics Amsterdam [u.a.] : Elsevier, 1972 193 Online-Ressource (DE-627)253781752 (DE-600)1460611-2 (DE-576)072794399 1879-2316 nnns volume:193 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 83.52 Finanzwissenschaft 83.00 Volkswirtschaft: Allgemeines ECS-09001 SKW AR 193
language	English
source	Enthalten in Journal of public economics 193 volume:193
sourceStr	Enthalten in Journal of public economics 193 volume:193
format_phy_str_mv	Article
bklname	Finanzwissenschaft Volkswirtschaft: Allgemeines
institution	findex.gbv.de
topic_facet	Finanzwissenschaft Wirtschaftstheorie Wirtschaftswissenschaft Welt Coronavirus International migration Lockdown Bangladesh India Pakistan
isfreeaccess_bool	false
container_title	Journal of public economics
authorswithroles_txt_mv	Lee, Jean N. @@aut@@ Mahmud, Mahreen @@aut@@ Morduch, Jonathan @@aut@@ Ravindran, Saravana @@aut@@ Shonchoy, Abu S. @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
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author	Lee, Jean N.
spellingShingle	Lee, Jean N. bkl 83.52 bkl 83.00 stw Finanzwissenschaft stw Wirtschaftstheorie stw Wirtschaftswissenschaft stw Welt misc Coronavirus misc International migration misc Lockdown misc Bangladesh misc India misc Pakistan Migration, externalities, and the diffusion of COVID-19 in South Asia
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topic_title	83.52 bkl 83.00 bkl Migration, externalities, and the diffusion of COVID-19 in South Asia 1.1\x Finanzwissenschaft (DE-2867)11526-0 stw 1.2\x Wirtschaftstheorie (DE-2867)10062-0 stw 1.3\x Wirtschaftswissenschaft (DE-2867)10032-2 stw 1.4\x Welt (DE-2867)16809-5 stw Coronavirus International migration Lockdown Bangladesh India Pakistan
topic	bkl 83.52 bkl 83.00 stw Finanzwissenschaft stw Wirtschaftstheorie stw Wirtschaftswissenschaft stw Welt misc Coronavirus misc International migration misc Lockdown misc Bangladesh misc India misc Pakistan
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title	Migration, externalities, and the diffusion of COVID-19 in South Asia
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title_full	Migration, externalities, and the diffusion of COVID-19 in South Asia
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title_sort	migration, externalities, and the diffusion of covid-19 in south asia
title_auth	Migration, externalities, and the diffusion of COVID-19 in South Asia
abstract	The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries.
abstractGer	The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries.
abstract_unstemmed	The initial spread of COVID-19 halted economic activity as countries around the world restricted the mobility of their citizens. As a result, many migrant workers returned home, spreading the virus across borders. We investigate the relationship between migrant movements and the spread of COVID-19 using district-day-level data from Bangladesh, India, and Pakistan (the 1st, 6th, and 7th largest sources of international migrant workers). We find that during the initial stage of the pandemic, a 1 SD increase in prior international out-migration relative to the district-wise average in India and Pakistan predicts a 48% increase in the number of cases per capita. In Bangladesh, however, the estimates are not statistically distinguishable from zero. Domestic out-migration predicts COVID-19 diffusion in India, but not in Bangladesh and Pakistan. In all three countries, the association of COVID-19 cases per capita and measures of international out-migration increases over time. The results show how migration data can be used to predict coronavirus hotspots. More broadly, the results are consistent with large cross-border negative externalities created by policies aimed at containing the spread of COVID-19 in migrant-receiving countries.
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title_short	Migration, externalities, and the diffusion of COVID-19 in South Asia
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author2	Mahmud, Mahreen Morduch, Jonathan Ravindran, Saravana Shonchoy, Abu S.
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up_date	2024-07-06T17:33:56.887Z
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score	7.399393

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Migration, externalities, and the diffusion of COVID-19 in South Asia

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