一种估算童工风险的算法

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Decision Science Letters Pub Date : 2022-01-01 DOI:10.5267/j.dsl.2022.5.004

Ricky Bryan Quiñones Fabian, Ruben Aldair Andamayo Alcantara, Abel Jesus Inga Lopez, Jaime Antonio Huaytalla Pariona, J. A. D. Quispe

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引用次数: 0

摘要

在发展中国家，童工已经成为一个严重的问题，在现在和将来对社会和个人产生不利影响。有许多原因迫使孩子们放弃学业，开始工作。经济、社会、家庭和个人问题都可能把孩子赶出学校，阻碍他们正常生活。秘鲁的enwho等民意调查试图尽可能多地收集相关数据来解释这一问题。在变量众多的情况下，需要有一种方法来构建具有足够解释力的算法来解释情况。因此，本研究通过Lasso阐述了一种算法来对童工现象进行比例化的统计解释。由于数据的类型，回归是逻辑的。

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An algorithm to estimate the risk of child labor

In developing countries, child labor has become a significant problem with adverse effects in the present and future for society and individuals. There are many causes that obligate children to abandon school and start working. Economic, social, familiar, and personal problems can expel children from school, inhibiting them from living appropriately. Polls like the ENAHO in Peru tried to recollect relevant data as much as possible to explain this problem. With many variables, it is necessary to have a methodology to build an algorithm with enough explanatory power to explain the situation. Therefore, this research elaborated an algorithm through Lasso to proportionate a statistical explanation of child labor. Due to the type of data, the regression was logistic.

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来源期刊

Decision Science Letters Decision Sciences-Decision Sciences (all)

CiteScore

3.40

自引率

5.30%

发文量

审稿时长

20 weeks