2021
DOI: 10.1111/rode.12746
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Risk preference and child labor: Econometric evidence

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 10 publications
(4 citation statements)
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“…This study is constrained to measure risk aversion as a binary variable as opposed to an ordinal measure with different levels of risk aversion due to the nature of the question asked in the survey. Studies such as Frempong and Stadelmann [ 48 ], Adjei-Mantey and Horioka [ 49 ], Adjei-Mantey and Takeuchi [ 50 ] used a similar measure of risk preference. The GLSS7 particularly used binary lottery scenarios instead of experiments to avoid making assumptions about the utility functions of the individuals.…”
Section: Methodsmentioning
confidence: 99%
“…This study is constrained to measure risk aversion as a binary variable as opposed to an ordinal measure with different levels of risk aversion due to the nature of the question asked in the survey. Studies such as Frempong and Stadelmann [ 48 ], Adjei-Mantey and Horioka [ 49 ], Adjei-Mantey and Takeuchi [ 50 ] used a similar measure of risk preference. The GLSS7 particularly used binary lottery scenarios instead of experiments to avoid making assumptions about the utility functions of the individuals.…”
Section: Methodsmentioning
confidence: 99%
“…The remaining independent variables used in the study were informed by existing empirical literature to have effect on child education (Stipek & Hoffman, 1980;Murray, Arteche, Fearon, Halligan, Croudace & Cooper, 2010;Kassarnig, Bjerre-Nielsen, Mones, Lehmann, & Lassen, 2017;Afoakwah, 2020;Wang, Li, Zhang, Zhou, & Huang, 2020;Frempong & Stadelmann, 2021;Koomson & Afoakwah, 2023;Kofinti et al, 2022;Nunoo et al, 2023 ). A summary of variable description has been presented in Table A in the appendix.…”
Section: Risk Preference (Rp)mentioning
confidence: 99%
“…This appalling condition has spurred the interest of policy makers and scholars to investigate the possible causes and to suggest solutions to mitigating the poor learning outcomes. In developing countries, aside socio-economic factors, empirical studies have attributed the poor learning outcomes to factors such as lack of teaching resources and learning materials (Mupa & Chinooneka, 2015); malnutrition and child health (Glewwe & Miguel, 2007); dearth of health financing programmes ( Kofinti, Baako-Amponsah, & Danso, 2022); poverty and loss of confidence in education (Imoro, 2010;Koomson & Afoakwah, 2023); child labour (Heady, 2000;Frempong & Stadelmann, 2021); underdeveloped school infrastructure (Chowa, Masa, Ramos & Ansong, 2015); and longer distance travelled to and from school and teacher absenteeism (Afoakwah & Koomson, 2021;Nunoo, Taale, Sebu, & Adama, 2023). However, studies in advanced countries like Italy, Germany, USA, and Mexico have alluded that the risk attitudes of households are key contributing factors to the poor educational outcomes of children (Brown, Ortiz Nunez, & Taylor, 2006;Checchi, Fsiorio, & Leonardi, 2014;Mu & Du, 2017;Sovero, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…It is much better to increase the age limit and to impose other restrictions to avoid having children of a tender age work on the farm. According to Frempong and Stadelmann (2021), child labour may also be motivated by the desire to enhance the expected income the entire family will receive from the child. The family's average income eventually increases daily with the income of the child who works, resulting in child labour.…”
Section: Literature Reviewmentioning
confidence: 99%