Classification, Detection and Consequences of Data Error: Evidence from the Human Development Index
@article{Wolff2010ClassificationDA, title={Classification, Detection and Consequences of Data Error: Evidence from the Human Development Index}, author={H. Wolff and H. Chong and M. Auffhammer}, journal={Wiley-Blackwell: Economic Journal}, year={2010} }
We measure and examine data error in health, education and income statistics used to construct the Human Development Index. We identify three sources of data error which are due to (i) data updating, (ii) formula revisions and (iii) thresholds to classify a country's development status. We propose a simple statistical framework to calculate country specific measures of data uncertainty and investigate how data error biases rank assignments. We find that up to 34% of countries are misclassified… CONTINUE READING
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References
SHOWING 1-10 OF 128 REFERENCES
Disease and Development: The Effect of Life Expectancy on Economic Growth
- Economics
- Journal of Political Economy
- 2007
- 1,006
- PDF
The human development index: some technical issues and alternative indices
- Computer Science
- 1998
- 279
- PDF