COVID19 Impact on Child Maltreatment: Evidence from Abuse and Neglect Investigations in Texas

Yitian Zhang
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Abstract

COVID-19 has brought challenges to the society in various aspects, as one of the most vulnerable members of society, children’s lives have also been significantly affected by it. This study aims to address the child maltreatment impacted by the COVID-19 pandemic. Leveraging county level data sets from Texas Department of Family and Protective Services and United States Census Bureau, XGBoost method and fixed effect model was used to investigate the most important economic, demographic, and social factors. It is found that population of 16-year-old or over, the rental vacancy rate, the population of 16-year-old or over that commutes to work by walking, and population of 16-year-old or over that works in agriculture, forestry, fishing and hunting, and mining industry is positively associated with total number of child maltreatment cases. On the other hand, the total population in labor force, the female population not in labor force, the average of public cash assistance (in dollars), the average time (in minutes) commuting to work, and the population whose household contains 2 units/rooms are negatively associated with total number of child maltreatment cases. Also, a single-difference model was implemented to identify that the COVID-19 pandemic was associated with 7.6% increase in total number of child maltreatment cases.
covid - 19对儿童虐待的影响:来自德克萨斯州虐待和忽视调查的证据
新冠肺炎疫情给社会带来了多方面的挑战,儿童作为社会最弱势群体之一,其生活也受到了重大影响。本研究旨在解决受COVID-19大流行影响的儿童虐待问题。利用德克萨斯州家庭与保护服务部和美国人口普查局的县级数据集,采用XGBoost方法和固定效应模型对最重要的经济、人口和社会因素进行了调查。研究发现,16岁及以上人口、租房空置率、16岁及以上步行上下班人口、16岁及以上从事农、林、渔、猎、矿业工作人口与儿童虐待案件总数呈正相关。另一方面,劳动人口总数、非劳动人口总数、公共现金援助的平均值(以美元计)、上下班的平均时间(以分钟计)、家庭有2个单位/房间的人口与虐待儿童案件总数呈负相关。此外,还实施了一个单差模型,以确定COVID-19大流行与儿童虐待案件总数增加7.6%有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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