拉丁美洲的贫困脆弱性——来自横断面数据的经验证据和面板数据的稳健性分析

Leonardo Gasparini, G. Cruces, M. Bérgolo, Andrés Ham
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引用次数: 8

摘要

本文件根据分布文献的最新发展,从概念和经验两方面讨论了拉丁美洲国家的脆弱性估计- -定义为未来贫穷的风险。该文件提出了两个主要贡献。首先,它提供了该地区18个国家的横向脆弱性估计(及其随时间的演变),并将其演变与总贫困率的演变进行了比较。其次,基于阿根廷和智利的纵向数据,该文件开展了一项验证工作,以评估脆弱性指标在总体和微观层面上作为贫困预测指标的效果,并将其表现与其他贫困指标进行比较。主要调查结果表明,各国在脆弱性水平上存在巨大差异。此外,脆弱性措施可以很好地估计总体贫困趋势。然而,验证工作表明,在微观一级,就预期贫困而言,对家庭的分类存在相当大的错误。这些结果表明,脆弱性估计应辅以有关冲击和总体趋势的信息,以指导有针对性的政策干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vulnerability to Poverty in Latin America - Empirical Evidence from Cross-Sectional Data and Robustness Analysis with Panel Data
This document presents a discussion of vulnerability estimates – defined as the risk of being poor in the future – in Latin American countries from both a conceptual and an empirical perspective, based on recent developments in the distributive literature. The document develops two main contributions. First, it presents cross-sectional vulnerability estimates (and their evolution over time) for 18 countries in the region, and compares their evolution with that of aggregate poverty rates. Second, based on longitudinal data for Argentina and Chile, the document carries out a validation exercise to assess how vulnerability measures fare as predictors of poverty at the aggregate and the micro levels, and compares their performance to that of other deprivation indicators. The main findings indicate substantial cross-country differences in vulnerability levels. Moreover, vulnerability measures provide good estimates of aggregate poverty trends. However, the validation exercise indicates that at the micro level there are sizeable misclassifications of households in terms of expected poverty. These results imply that vulnerability estimates should be complemented with information on shocks and aggregate trends for guiding focalised policy interventions.
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