Relative deprivation and the differential effects of the COVID-19 pandemic on the poor in Mexico

Héctor Nájera
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Abstract

One of the main challenges to studying the effects of the pandemic on poverty has been the lack of adequate data. Very few countries have short-term poverty data and most official surveys are rather rigid and were incapable of adding any special modules to jointly study COVID-19 and poverty. Furthermore, many poverty measures rely on indicators of unsatisfied basic needs (UBN) that, albeit useful to characterise exclusion from essential services, are not sensitive to short-term effects on the resources of the population. This study uses data from the Encovid-19 to jointly study poverty and some of the consequences of the pandemic on the Mexican population. This survey included a short module to measure poverty using the consensual deprivation approach. Once the poor were reliably identified in the survey, the study analysed differences in coping mechanisms, occupation, and perceived COVID-19 consequences between the poor and the not poor. From the methodological point of view, the study shows how the consensual approach has the advantage of producing valid and reliable poverty figures at a low cost. The findings clearly show that the poor were clearly most affected by the COVID-19 pandemic.
相对剥夺和2019冠状病毒病大流行对墨西哥穷人的不同影响
研究这一流行病对贫穷的影响的主要挑战之一是缺乏足够的数据。很少有国家有短期贫困数据,大多数官方调查相当僵化,无法增加任何特殊模块来联合研究COVID-19和贫困。此外,许多贫穷措施依赖于未满足的基本需要指标,这些指标虽然有助于确定被排除在基本服务之外的特征,但对人口资源的短期影响并不敏感。本研究使用来自Encovid-19的数据,共同研究贫困和大流行对墨西哥人口的一些后果。这项调查包括一个使用自愿剥夺方法衡量贫困的简短模块。一旦在调查中可靠地确定了穷人,该研究就分析了穷人和非穷人在应对机制、职业和对COVID-19后果的感知方面的差异。从方法的角度来看,这项研究表明,协商一致的方法如何具有以低成本产生有效和可靠的贫穷数字的优点。调查结果清楚地表明,穷人显然是受COVID-19大流行影响最大的群体。
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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