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}
}
  • H. Wolff, H. Chong, M. Auffhammer
  • Published 2010
  • Computer Science
  • Wiley-Blackwell: Economic Journal
  • 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
    102 Citations

    Topics from this paper

    Paper Mentions

    The Quality of Growth
    • 65
    • Highly Influenced
    • PDF
    HDI: The Old, the New and the Elegant
    • 3
    • PDF
    Making Data Measurement Errors Transparent: The Case of the IMF
    • PDF

    References

    SHOWING 1-10 OF 128 REFERENCES
    Disease and Development: The Effect of Life Expectancy on Economic Growth
    • 1,006
    • PDF
    The Human Development Index: "Handle with Care"
    • 241
    The human development index: some technical issues and alternative indices
    • 279
    • PDF
    human Development Index
    • 202
    • PDF
    An empirical note on inequality in the world development indicators
    • 29
    Measurement of Human Development: an alternative approach
    • 36
    • Highly Influential
    Human development:Concepts and measurement
    • 240