Foreign Remittances and Regional Poverty

Evidence from Household Data

Bibliographic Data

ID9953499
AuthorsKashif Imran (0000-0001-8428-3201, Institute of Business Management Karachi, corresponding author), Evelyn Shyamala Devadason (0000-0003-0697-0190, University of Malaya Kuala Lumpur), Cheong Kee Cheok (University of Malaya Kuala Lumpur)
Year2019
Volume58
Issue4
Pages214-230
Publication date2019-12-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Migration (JOURNAL)
Journal identifiersISSN: 0020-7985 • E-ISSN: 1468-2435
PublisherWiley (PUBLISHER • GB)
DOI10.1111/imig.12681
OpenAlexW2995097748
LanguageEN
Citations received4
References cited57

This study examines the association between foreign remittances and poverty (incidence and severity) in the Punjab province of Pakistan. Logit regression is used to deal with binary headcount ratio, while the instrumental variable approach is employed to avoid possible endogeneity. Household‐based data, covering more than 40,000 household units in Punjab, are used for the empirical estimations. After controlling for several variables, such as the number of dependents of households, age, gender, and education of the household head, the results indicate that foreign remittances’ inflow reduces the incidence and severity of poverty in all three regions of the Punjab province, North Punjab, South Punjab and Central Punjab. The South Punjab, however, is found to be poorer based on headcount poverty and severity of poverty as compared to the other two regions

Demographic economics · Econometrics · Economic growth · Economics · Endogeneity · Geography · Instrumental variable · Logistic regression · Logit · Ordinary least squares · Poverty · Socioeconomics · Sociology · Statistics · Demography · Fiscal Policy and Economic Growth · Mathematics · Migration and Labor Dynamics · Poverty, Education, and Child Welfare

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