.png){kind=icon}
返回
Global Poverty Estimates: A Sensitivity Analysis
.png){kind=icon}
OA
AI
DOI：10.1016/j.worlddev.2012.12.010.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Current estimates of global poverty vary substantially across studies. We undertake a sensitivity analysis to highlight the importance of methodological choices by measuring global poverty using different data sources, parametric and nonparametric estimation methods, and multiple poverty lines. Our results indicate that estimates of global poverty vary significantly when they are based alternately on data from household surveys versus national accounts but are relatively consistent across estimation methods. The decline in poverty over the past decade is found to be robust across methodological choices. (C) 2012 Elsevier Ltd. All rights reserved.
Keyword:
global poverty
sensitivity analysis
household surveys
national accounts
nonparametrics
income distribution
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.8
论文数:
8.1K
被引数:
3.1W
机构
引用论文
.png){kind=icon}
查看更多内容