MIGRATION AND REMITTANCES – STATISTICAL AND ECONOMETRIC MODELS USED TO ANALYZE THE IMPACT OF REMITTANCES IN ECONOMIC DEVELOPMENT
Georgiana Nita and
Additional contact information
Constantin Anghelache: Bucharest University of Economic Studies/„Artifex" University of Bucharest
Georgiana Nita: Bucharest University of Economic Studies
Alexandru Badiu: Bucharest University of Economic Studies
Romanian Statistical Review Supplement, 2017, vol. 65, issue 6, 134-143
In this article, the authors proposed to analyze the current context of labor migration, as well as the analysis of remittances, a phenomenon taking place simultaneously with that of migration. The paper presents general notions of migration and remittances, with particular emphasis on the impact of remittances on the economic development of a country. Migrants and their families are considered key factors in economic growth, as long as remittances are used efficiently, not only for consumption but for saving, investment or entrepreneurial development as well. What brings into question the financial inclusion of these segments of the population: migrants and their families. The authors present the general notions of the concept of poverty, the methods and the indicators by which it is measured. It also presents statistical and econometric models in which a correlation between remittances is attempted, as a positive effect in reducing poverty and implicitly in economic growth.
Keywords: labor migration; remittances; poverty; indicators; econometric models (search for similar items in EconPapers)
JEL-codes: C10 I32 O15 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
http://www.revistadestatistica.ro/supliment/wp-con ... S_06_2017_A07_EN.pdf (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:rsr:supplm:v:65:y:2017:i:6:p:134-143
Access Statistics for this article
More articles in Romanian Statistical Review Supplement from Romanian Statistical Review Contact information at EDIRC.
Bibliographic data for series maintained by Adrian Visoiu ().