文章基本信息

标题：Consequences of Data Error in Aggregate Indicators: Evidence from the Human Development Index
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作者：Wolff, Hendrik ; Chong, Howard ; Auffhammer, Maximilian 等
期刊名称：Journal of Agribusiness
印刷版ISSN：0738-8950
出版年度：2008
期号：suppl
出版社：Journal of Agribusiness
摘要：This paper examines the consequences of data error in data series used to construct aggregate indicators. Using the most popular indicator of country level economic development, the Human Development Index (HDI), we identify three separate sources of data error. We propose a simple statistical framework to investigate how data error may bias rank assignments and identify two striking consequences for the HDI. First, using the cutoff values used by the United Nations to assign a country as 'low', 'medium', or 'high' developed, we find that currently up to 45% of developing countries are misclassified. Moreover, by replicating prior development/macroeconomic studies, we find that key estimated parameters such as Gini coefficients and speed of convergence measures vary by up to 100% due to data error.
关键词：Measurement Error;International Comparative Statistics