| [1] | T.W. Schultz, Investment in human capital, Am. Econ. Rev. 51 (1961) 1-17. |
| |
| [2] | G.S. Becker, Human capital: A theoretical and empirical analysis, with special reference to education, University of Chicago press, 2009. |
| |
| [3] | M. Ravallion, Q. Wodon, Does Child Labor Displace Schooling? Evidence on Behavioral Responses to an Enrollment Subsidy. Policy Research Working Papers No. 2116., (1999). |
| |
| [4] | A. de Janvry, F. Finan, E. Sadoulet, How Effective are Educational Subsidies Programs for the Rural Poor? Progresa in Mexico, ARE Univ. Calif. Berkeley. (2001). |
| |
| [5] | E. Skoufias, S.W. Parker, J.R. Behrman, C. Pessino, Conditional cash transfers and their impact on child work and schooling: Evidence from the progresa program in mexico [with comments], Economia. 2 (2001) 45-96. |
| |
| [6] | K. Kilburn, S. Handa, G. Angeles, P. Mvula, M. Tsoka, Short-term impacts of an unconditional cash transfer program on child schooling: Experimental evidence from Malawi, Econ. Educ. Rev. 59 (2017) 63-80. |
| |
| [7] | O. Attanasio, E. Fitzsimons, A. Gomez, The impact of a conditional education subsidy on school enrolment in Colombia, (2005). |
| |
| [8] | X. V Del Carpio, N. V Loayza, T. Wada, The impact of conditional cash transfers on the amount and type of child labor, World Dev. 80 (2016) 33-47. |
| |
| [9] | N. Benhassine, F. Devoto, E. Duflo, P. Dupas, V. Pouliquen, Turning a shove into a nudge? A “labeled cash transfer” for education, Am. Econ. J. Econ. Policy. 7 (2015) 86-125. |
| |
| [10] | J. Gazeaud, C. Ricard, Cash Transfers and School Performances: New Evidence from Morocco, 2020. |
| |
| [11] | E. V Edmonds, N. Schady, Poverty alleviation and child labor, Am. Econ. J. Econ. Policy. 4 (2012) 100-124. |
| |
| [12] | A. Hidayatina, A. Garces-Ozanne, Can cash transfers mitigate child labour? Evidence from Indonesia’s cash transfer programme for poor students in Java, World Dev. Perspect. 15 (2019) 1. |
| |
| [13] | P. De Vreyer, Une analyse économétrique de la demande d’éducation en Côte-d’Ivoire, Rev. Econ. Dev. 1 (1993) 49-79. |
| |
| [14] | C. Buchmann, Family structure, parental perceptions, and child labor in Kenya: What factors determine who is enrolled in school?, Soc. Forces. 78 (2000) 1349-1378. |
| |
| [15] | S. Jimerson, B. Egeland, L.A. Sroufe, B. Carlson, A prospective longitudinal study of high school dropouts examining multiple predictors across development, J. Sch. Psychol. 38 (2000) 525-549. |
| |
| [16] | P. Glewwe, Schools and skills in developing countries: education policies and socioeconomic outcomes, J. Econ. Lit. 40 (2002) 436-482. |
| |
| [17] | J. Vinas-Forcade, C. Mels, M. Valcke, I. Derluyn, Beyond academics: Dropout prevention summer school programs in the transition to secondary education, Int. J. Educ. Dev. 70 (2019) 102087. |
| |
| [18] | Y. Itzhaki, H. Itzhaky, Y.B. Yablon, The contribution of parental and societal conditional regard to adjustment of high school dropouts, J. Adolesc. 62 (2018) 151-161. |
| |
| [19] | P. Glewwe, A.L. Kassouf, The impact of the Bolsa Escola/Familia conditional cash transfer program on enrollment, dropout rates and grade promotion in Brazil, J. Dev. Econ. 97 (2012) 505-517. |
| |
| [20] | F. No, K. Taniguchi, Y. Hirakawa, School dropout at the basic education level in rural Cambodia: Identifying its causes through longitudinal survival analysis, Int. J. Educ. Dev. 49 (2016) 215-224. |
| |
| [21] | H.G. Jacoby, E. Skoufias, Risk, financial markets, and human capital in a developing country, Rev. Econ. Stud. 64 (1997) 311-335. |
| |
| [22] | M.N.U. Din, H. Dad, J. Iqbal, S.S.A. Shah, M.I. Niazi, Causes of male dropout rate in Pakistan, J. Coll. Teach. Learn. 8 (2011) 37-42. |
| |
| [23] | A. Diagne, Pourquoi les enfants africains quittent-ils l’école? Un modèle hiérarchique multinomial des abandons dans l’éducation primaire au Sénégal, Actual. Econ. 86 (2010) 319-354. |
| |
| [24] | R.W. Rumberger, Dropping out, Harvard University Press, 2011. |
| |
| [25] | S. Gao, M. Yang, X. Wang, W. Min, S. Rozelle, Peer relations and dropout behavior: Evidence from junior high school students in northwest rural China, Int. J. Educ. Dev. 65 (2019) 134-143. |
| |
| [26] | O. Attanasio, E. Fitzsimons, A. Gomez, M.I. Gutierrez, C. Meghir, A. Mesnard, Children’s schooling and work in the presence of a conditional cash transfer program in rural Colombia, Econ. Dev. Cult. Change. 58 (2010) 181-210. |
| |
| [27] | K.A. Gee, Reducing child labour through conditional cash transfers: Evidence from nicaragua’s red de protección social, Dev. Policy Rev. 28 (2010) 711-732. |
| |
| [28] | J. De Hoop, J. Friedman, E. Kandpal, F. Rosati, Child schooling and child work in the presence of a partial education subsidy, The World Bank, 2017. |
| |
| [29] | A.B. Gouzi, N. El Aoufi, La non-scolarisation au Maroc Une analyse en termes de coût d’opportunité, Crit. Économique. (2007). |
| |
| [30] | A. V Banerjee, R. Hanna, G.E. Kreindler, B.A. Olken, Debunking the stereotype of the lazy welfare recipient: Evidence from cash transfer programs, World Bank Res. Obs. 32 (2017) 155-184. |
| |
| [31] | P.R. Rosenbaum, D.B. Rubin, The central role of the propensity score in observational studies for causal effects, Biometrika. 70 (1983) 41-55. |
| |
| [32] | D.B. Rubin, The use of matched sampling and regression adjustment to remove bias in observational studies, Biometrics. (1973) 185-203. |
| |
| [33] | P.R. Rosenbaum, D.B. Rubin, Constructing a control group using multivariate matched sampling methods that incorporate the propensity score, Am. Stat. 39 (1985) 33-38. |
| |
| [34] | J. Bauchet, E.A. Undurraga, V. Reyes-García, J.R. Behrman, R.A. Godoy, Conditional cash transfers for primary education: Which children are left out?, World Dev. 105 (2018) 1-12. |
| |
| [35] | L.T. Giang, C.V. Nguyen, How would cash transfers improve child welfare in Viet Nam?, Child. Youth Serv. Rev. 82 (2017) 87-98. |
| |
| [36] | P. Givord, Méthodes économétriques pour l’évaluation de politiques publiques, Econ. Previs. (2014) 1-28. |
| |
| [37] | A. Chong, M. Yáñez-Pagans, Not so fast! Cash transfers can increase child labor: Evidence for Bolivia, Econ. Lett. 179 (2019) 57-61. |
| |
| [38] | J. Choi, M. Lee, Relaxing conditions for local average treatment effect in fuzzy regression discontinuity, Econ. Lett. 173 (2018) 47-50. |
| |
| [39] | J.D. Angrist, G.W. Imbens, D.B. Rubin, Identification of causal effects using instrumental variables, J. Am. Stat. Assoc. 91 (1996) 444-455. |
| |
| [40] | J. Hahn, J. Hausman, Weak instruments: Diagnosis and cures in empirical econometrics, Am. Econ. Rev. 93 (2003) 118-125. |
| |