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How to cite this paper
APA: Fabian, R., Alcantara, R., Lopez, A., Pariona, J & Quispe, J. (2022). An algorithm to estimate the risk of child labor. Decision Science Letters, 11(4), 521-528.
Chicago/Turabian: Fabian, R., Alcantara, R., Lopez, A., Pariona, J & Quispe, J. 2022. "An algorithm to estimate the risk of child labor." Decision Science Letters 11, no. 4 (2022): 521-528.
AMA: Fabian, R., Alcantara, R., Lopez, A., Pariona, J & Quispe, J. An algorithm to estimate the risk of child labor. Decision Science Letters. 2022;11(4):521-528.
References
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Adam, S., Adom, D., & Bediako, A. B. (2016). The Major Factors That Influence Basic School Dropout in Rural Ghana: The Case of Asunafo South District in the Brong Ahafo Region of Ghana. Journal of Education and Practice, 7(28), 1–8. https://search.proquest.com/docview/1871574449?accountid=13042
Alcázar, L. (2009). A d e s r p. 7.
Becker, G. S., & Tomes, N. (1986). Human Capital and the Rise and Fall of Families. Journal of Labor Economics, 4(3), S1–S39. http://www.jstor.org/stable/2534952
Benvenuto, F., Piana, M., Campi, C., & Massone, A. M. (2018). A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction. The Astrophysical Journal, 853(1), 90. https://doi.org/10.3847/1538-4357/aaa23c
Bureau of International Labor Affairs. (2019). 2018 findings of the worst forms of child labor: Required by the Trade and Development Act of 2000. https://www.dol.gov/sites/dolgov/files/ILAB/child_labor_reports/tda2018/ChildLaborReportBook.pdf
Edmonds, E. V. (2015). Economic Growth and Child Labor in Low Income Economies (Issue 11).
Fonti, V. (2017). Feature Selection using LASSO. VU Amsterdam, 1–26. https://doi.org/10.1109/ACCESS.2017.2696365
Hernández, A. K., & Vargas, E. D. (2016). Condiciones del trabajo estudiantil urbano y abandono escolar en el nivel medio superior en México / Labor conditions of urban students and school dropout at the upper secondary level in Mexico. Estudios Demográficos y Urbanos, 31(3), 663. https://doi.org/10.24201/edu.v31i3.1653
Huebler, F. (2008). Child labor and school attendance: Evidence from MICS and DHS surveys. In Understanding Children's Work Project Universidad.
Instituto Nacional de Estadística e Informática. (2011). Estado de la Niñez en el Perú. Instituto Nacional de Estadística e Informática.
Khan, A., Azhar, M., & Shah, A. (2011). Causes of Primary School Dropout Among Rural Girls in Pakistan, Sustainable Development Policy Institute (SDPI. July, 119.
Machado, T., Ii, S., & Fernandes, S. (2015). 5 - Factors associated with dropout rates in public.pdf. 757–772.
Miranda, F. (2018). Abandono escolar en educación media superior: conocimiento y aportaciones de política pública. Sinéctica, Revista Electrónica de Educación, 51. https://doi.org/10.31391/s2007-7033(2018)0051-010
Morales, J., & Vargas, Y. (2019). Determinantes De La Deserción Escolar Y El Trabajo Adolescente En Bolivia. Investigacion & Desarrollo, 18(2), 93–110. https://doi.org/10.23881/idupbo.018.2-6e
Pariguana, M. (2011). Trabajo adolescente y deserción escolar en el Perú. Consorcio De Investigacion Económica Y Social, 1(1), 1–49. http://old.cies.org.pe/files/documents/investigaciones/educacion/Trabajo-adolescente-y-desercion-escolar-en-el-peru.pdf
Reitermanová, Z. (2010). Data splitting. WDS'10 Proceedings of Contributed Papers, Part I, 31–36.
Revenberg, M. (2015). Dropping out in a culture of poverty ? A case study on secondary and tertiary school dropouts in Curaçao. August.
Rodriguez, G. (2007). Logit Models for Binary Data. In Lecture Notes on Generalized Linear Models. Princeton University. https://doi.org/10.1002/ird.2208
Ruiz, I. (2019). América del Sur : avances y retos hacia el cumplimiento de la Meta 8 . 7 de los ODS Informe del Mapeo sobre la problemática del trabajo infantil y.
Salata, A. (2019). Razões da evasão: abandono escolar entre jovens no Brasil. Interseções: Revista de Estudos Interdisciplinares, 21(1), 99–128. https://doi.org/10.12957/irei.2019.42305
Skoufias, E. (2005). PROGRESA and Its Impacts on the Welfare.
Stata. (2019). Stata Lasso Reference Manual Release 16. https://www.stata.com/manuals/lasso.pdf
Tibshirani, R. (1996). Regression shrinkage and selection via the Lasso. Journal of the Royal Statistical Society, 58(1), 267–288.
Uddin, M. N., Hamiduzzaman, M., & Gunter, B. G. (2011). Physical and Psychological Implications of Risky Child Labor: A Study in Sylhet City, Bangladesh. SSRN Electronic Journal, July. https://doi.org/10.2139/ssrn.1428206
Velazco, J. (OIT). (2016). Magnitud y Características del Trabajo Infantil en Perú. Informe 2015 - Análisis de la Encuesta Nacional de Hogares (ENAHO) y de la Encuesta sobre Trabajo Infantil (ETI). http://white.lim.ilo.org/ipec/documentos/informeti_2015_peru.pdf
Adam, S., Adom, D., & Bediako, A. B. (2016). The Major Factors That Influence Basic School Dropout in Rural Ghana: The Case of Asunafo South District in the Brong Ahafo Region of Ghana. Journal of Education and Practice, 7(28), 1–8. https://search.proquest.com/docview/1871574449?accountid=13042
Alcázar, L. (2009). A d e s r p. 7.
Becker, G. S., & Tomes, N. (1986). Human Capital and the Rise and Fall of Families. Journal of Labor Economics, 4(3), S1–S39. http://www.jstor.org/stable/2534952
Benvenuto, F., Piana, M., Campi, C., & Massone, A. M. (2018). A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction. The Astrophysical Journal, 853(1), 90. https://doi.org/10.3847/1538-4357/aaa23c
Bureau of International Labor Affairs. (2019). 2018 findings of the worst forms of child labor: Required by the Trade and Development Act of 2000. https://www.dol.gov/sites/dolgov/files/ILAB/child_labor_reports/tda2018/ChildLaborReportBook.pdf
Edmonds, E. V. (2015). Economic Growth and Child Labor in Low Income Economies (Issue 11).
Fonti, V. (2017). Feature Selection using LASSO. VU Amsterdam, 1–26. https://doi.org/10.1109/ACCESS.2017.2696365
Hernández, A. K., & Vargas, E. D. (2016). Condiciones del trabajo estudiantil urbano y abandono escolar en el nivel medio superior en México / Labor conditions of urban students and school dropout at the upper secondary level in Mexico. Estudios Demográficos y Urbanos, 31(3), 663. https://doi.org/10.24201/edu.v31i3.1653
Huebler, F. (2008). Child labor and school attendance: Evidence from MICS and DHS surveys. In Understanding Children's Work Project Universidad.
Instituto Nacional de Estadística e Informática. (2011). Estado de la Niñez en el Perú. Instituto Nacional de Estadística e Informática.
Khan, A., Azhar, M., & Shah, A. (2011). Causes of Primary School Dropout Among Rural Girls in Pakistan, Sustainable Development Policy Institute (SDPI. July, 119.
Machado, T., Ii, S., & Fernandes, S. (2015). 5 - Factors associated with dropout rates in public.pdf. 757–772.
Miranda, F. (2018). Abandono escolar en educación media superior: conocimiento y aportaciones de política pública. Sinéctica, Revista Electrónica de Educación, 51. https://doi.org/10.31391/s2007-7033(2018)0051-010
Morales, J., & Vargas, Y. (2019). Determinantes De La Deserción Escolar Y El Trabajo Adolescente En Bolivia. Investigacion & Desarrollo, 18(2), 93–110. https://doi.org/10.23881/idupbo.018.2-6e
Pariguana, M. (2011). Trabajo adolescente y deserción escolar en el Perú. Consorcio De Investigacion Económica Y Social, 1(1), 1–49. http://old.cies.org.pe/files/documents/investigaciones/educacion/Trabajo-adolescente-y-desercion-escolar-en-el-peru.pdf
Reitermanová, Z. (2010). Data splitting. WDS'10 Proceedings of Contributed Papers, Part I, 31–36.
Revenberg, M. (2015). Dropping out in a culture of poverty ? A case study on secondary and tertiary school dropouts in Curaçao. August.
Rodriguez, G. (2007). Logit Models for Binary Data. In Lecture Notes on Generalized Linear Models. Princeton University. https://doi.org/10.1002/ird.2208
Ruiz, I. (2019). América del Sur : avances y retos hacia el cumplimiento de la Meta 8 . 7 de los ODS Informe del Mapeo sobre la problemática del trabajo infantil y.
Salata, A. (2019). Razões da evasão: abandono escolar entre jovens no Brasil. Interseções: Revista de Estudos Interdisciplinares, 21(1), 99–128. https://doi.org/10.12957/irei.2019.42305
Skoufias, E. (2005). PROGRESA and Its Impacts on the Welfare.
Stata. (2019). Stata Lasso Reference Manual Release 16. https://www.stata.com/manuals/lasso.pdf
Tibshirani, R. (1996). Regression shrinkage and selection via the Lasso. Journal of the Royal Statistical Society, 58(1), 267–288.
Uddin, M. N., Hamiduzzaman, M., & Gunter, B. G. (2011). Physical and Psychological Implications of Risky Child Labor: A Study in Sylhet City, Bangladesh. SSRN Electronic Journal, July. https://doi.org/10.2139/ssrn.1428206
Velazco, J. (OIT). (2016). Magnitud y Características del Trabajo Infantil en Perú. Informe 2015 - Análisis de la Encuesta Nacional de Hogares (ENAHO) y de la Encuesta sobre Trabajo Infantil (ETI). http://white.lim.ilo.org/ipec/documentos/informeti_2015_peru.pdf