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Melissa Adelman

Personal Details

First Name:Melissa
Middle Name:
Last Name:Adelman
Suffix:
RePEc Short-ID:pad185
[This author has chosen not to make the email address public]

Affiliation

World Bank Group

Washington, District of Columbia (United States)
http://www.worldbank.org/
RePEc:edi:wrldbus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Melissa Adelman & Juan Baron & Jonathan Lehe, 2018. "Haiti," World Bank Publications - Reports 30500, The World Bank Group.
  2. Adelman,Melissa Ann & Haimovich,Francisco & Ham,Andres & Vazquez,Emmanuel Jose, 2017. "Predicting school dropout with administrative data: new evidence from Guatemala and Honduras," Policy Research Working Paper Series 8142, The World Bank.
  3. Adelman,Melissa Ann & Szekely,Miguel, 2016. "School dropout in Central America : an overview of trends, causes, consequences, and promising interventions," Policy Research Working Paper Series 7561, The World Bank.

Articles

  1. Melissa Adelman & Francisco Haimovich & Andres Ham & Emmanuel Vazquez, 2018. "Predicting school dropout with administrative data: new evidence from Guatemala and Honduras," Education Economics, Taylor & Francis Journals, vol. 26(4), pages 356-372, July.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Adelman,Melissa Ann & Haimovich,Francisco & Ham,Andres & Vazquez,Emmanuel Jose, 2017. "Predicting school dropout with administrative data: new evidence from Guatemala and Honduras," Policy Research Working Paper Series 8142, The World Bank.

    Cited by:

    1. Emmanuel Jose Vazquez & Francisco Haimovich & Melissa Adelman, 2021. "Scalable Early Warning Systems for School Dropout prevention: Evidence from a 4.000-School Randomized Controlled Trial," Asociación Argentina de Economía Política: Working Papers 4529, Asociación Argentina de Economía Política.
    2. Rafaella L. S. Nascimento & Roberta A. de A. Fagundes & Renata M. C. R. Souza, 2022. "Statistical Learning for Predicting School Dropout in Elementary Education: A Comparative Study," Annals of Data Science, Springer, vol. 9(4), pages 801-828, August.
    3. Wodon, Quentin, 2022. "Global report on integral human development 2022: measuring the contributions of Catholic and other faith-based organizations to education, healthcare, and social protection," MPRA Paper 114809, University Library of Munich, Germany.
    4. Delprato, Marcos & Frola, Alessia, 2022. "Zones of educational exclusion of out-of-school youth," International Journal of Educational Development, Elsevier, vol. 88(C).
    5. Hazal Colak Oz & Çiçek Güven & Gonzalo Nápoles, 2023. "School dropout prediction and feature importance exploration in Malawi using household panel data: machine learning approach," Journal of Computational Social Science, Springer, vol. 6(1), pages 245-287, April.
    6. Andres Ham & Emmanuel Vazquez & Monica Yanez-Pagans, 2023. "The Effects of Differential Exposure to COVID-19 on Educational Outcomes in Guatemala," CEDLAS, Working Papers 0313, CEDLAS, Universidad Nacional de La Plata.
    7. Filmer,Deon P. & Nahata,Vatsal & Sabarwal,Shwetlena, 2021. "Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness," Policy Research Working Paper Series 9847, The World Bank.
    8. Malte Toetzke & Nicolas Banholzer & Stefan Feuerriegel, 2022. "Monitoring global development aid with machine learning," Nature Sustainability, Nature, vol. 5(6), pages 533-541, June.

  2. Adelman,Melissa Ann & Szekely,Miguel, 2016. "School dropout in Central America : an overview of trends, causes, consequences, and promising interventions," Policy Research Working Paper Series 7561, The World Bank.

    Cited by:

    1. Adelman,Melissa Ann & Haimovich,Francisco & Ham,Andres & Vazquez,Emmanuel Jose, 2017. "Predicting school dropout with administrative data: new evidence from Guatemala and Honduras," Policy Research Working Paper Series 8142, The World Bank.
    2. C. Emily Hendrick & Leticia Marteleto, 2017. "Maternal Household Decision-Making Autonomy and Adolescent Education in Honduras," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(3), pages 415-439, June.
    3. Murphy-Graham, Erin & Pacheco Montoya, Diana & Cohen, Alison K. & Valencia Lopez, Enrique, 2021. "Examining school dropout among rural youth in Honduras: Evidence from a mixed-methods longitudinal study," International Journal of Educational Development, Elsevier, vol. 82(C).

Articles

  1. Melissa Adelman & Francisco Haimovich & Andres Ham & Emmanuel Vazquez, 2018. "Predicting school dropout with administrative data: new evidence from Guatemala and Honduras," Education Economics, Taylor & Francis Journals, vol. 26(4), pages 356-372, July.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-LAM: Central and South America (1) 2016-02-29. Author is listed

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