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Non-contributory social transfer programs in developing countries: A new dataset and research agenda
Social transfer programs in developing countries are designed to contribute to poverty reduction by increasing the income of the poor in order to ensure minimal living standards. In addition, social transfers provide a safety net for the vulnerable, who are typically not covered by contributory soci...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5709306/ https://www.ncbi.nlm.nih.gov/pubmed/29204465 http://dx.doi.org/10.1016/j.dib.2017.10.066 |
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author | Dodlova, Marina Giolbas, Anna Lay, Jann |
author_facet | Dodlova, Marina Giolbas, Anna Lay, Jann |
author_sort | Dodlova, Marina |
collection | PubMed |
description | Social transfer programs in developing countries are designed to contribute to poverty reduction by increasing the income of the poor in order to ensure minimal living standards. In addition, social transfers provide a safety net for the vulnerable, who are typically not covered by contributory social security. The question of how effective such programs are in achieving these aims has been the subject of numerous impact evaluations. However, the optimal design of such programs is still unclear. Even less is known about whether the adoption and implementation of transfer programs is really driven by poverty and neediness or whether other factors also have an influence. To investigate these and other research questions, we have developed a new dataset entitled Non-Contributory Social Transfer Programs (NSTP) in Developing Countries. One advantage of this dataset is that it traces 186 non-contributory programs from 101 countries back in time and presents them in panel form for the period up until 2015. The second advantage is that it contains all the details regarding the various programs’ designs as well as information on costs and coverage in a coded format and thus facilitates both comparative quantitative and in-depth qualitative analyses. While describing the data we discuss a number of examples of how the dataset can be used to explore different issues related to social policies in developing countries. We present suggestive evidence that the adoption of social transfer programs is not based only on pro-poor motives, but rather that social policy choices differ between political regimes. |
format | Online Article Text |
id | pubmed-5709306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-57093062017-12-04 Non-contributory social transfer programs in developing countries: A new dataset and research agenda Dodlova, Marina Giolbas, Anna Lay, Jann Data Brief Economics, Econometrics and Finance Social transfer programs in developing countries are designed to contribute to poverty reduction by increasing the income of the poor in order to ensure minimal living standards. In addition, social transfers provide a safety net for the vulnerable, who are typically not covered by contributory social security. The question of how effective such programs are in achieving these aims has been the subject of numerous impact evaluations. However, the optimal design of such programs is still unclear. Even less is known about whether the adoption and implementation of transfer programs is really driven by poverty and neediness or whether other factors also have an influence. To investigate these and other research questions, we have developed a new dataset entitled Non-Contributory Social Transfer Programs (NSTP) in Developing Countries. One advantage of this dataset is that it traces 186 non-contributory programs from 101 countries back in time and presents them in panel form for the period up until 2015. The second advantage is that it contains all the details regarding the various programs’ designs as well as information on costs and coverage in a coded format and thus facilitates both comparative quantitative and in-depth qualitative analyses. While describing the data we discuss a number of examples of how the dataset can be used to explore different issues related to social policies in developing countries. We present suggestive evidence that the adoption of social transfer programs is not based only on pro-poor motives, but rather that social policy choices differ between political regimes. Elsevier 2017-11-03 /pmc/articles/PMC5709306/ /pubmed/29204465 http://dx.doi.org/10.1016/j.dib.2017.10.066 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Economics, Econometrics and Finance Dodlova, Marina Giolbas, Anna Lay, Jann Non-contributory social transfer programs in developing countries: A new dataset and research agenda |
title | Non-contributory social transfer programs in developing countries: A new dataset and research agenda |
title_full | Non-contributory social transfer programs in developing countries: A new dataset and research agenda |
title_fullStr | Non-contributory social transfer programs in developing countries: A new dataset and research agenda |
title_full_unstemmed | Non-contributory social transfer programs in developing countries: A new dataset and research agenda |
title_short | Non-contributory social transfer programs in developing countries: A new dataset and research agenda |
title_sort | non-contributory social transfer programs in developing countries: a new dataset and research agenda |
topic | Economics, Econometrics and Finance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5709306/ https://www.ncbi.nlm.nih.gov/pubmed/29204465 http://dx.doi.org/10.1016/j.dib.2017.10.066 |
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