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={Hendrik Wolff and Howard Chong and Maximilian 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… 

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References

SHOWING 1-10 OF 128 REFERENCES

Disease and Development: The Effect of Life Expectancy on Economic Growth

We exploit the major international health improvements from the 1940s to estimate the effect of life expectancy on economic performance. We construct predicted mortality using preintervention

The Human Development Index: "Handle with Care"

ECONOMISTS AND POLICYMAKERS have long questioned the emphasis on growth of gross national product per capita (GNP/N) as the singular goal and measure of national development. GNP/N fails to capture

The human development index: some technical issues and alternative indices

This paper examines the components and structure of the UNDP's Human Development Index and briefly reviews the criticisms of this index in the literature. It suggests some improvements on the

Human Capital in Growth Regressions: How Much Difference Does Data Quality Make?

We construct a revised version of the Barro and Lee (1996) data set for a sample of OECD countries using previously unexploited sources and following a heuristic approach to obtain plausible time

International Data on Educational Attainment Updates and Implications

This paper presents a data set that improves the measurement of educational attainment for a broad group of countries. We extend our previous estimates of educational attainment for the population

human Development Index

How many countries are included in the 2013 HDI? The 2013 HDI covers 187 countries, the same number as in 2012 and 2011. Maintaining the same number of is the result of intensified efforts by the

An empirical note on inequality in the world development indicators

A broad range of inequality measures is used to examine inter-country inequality in two highly correlated indicators of development, the per capita real income (Y) and the Human Development Index

Human development:Concepts and measurement

The Income Component of the Human Development Index

Focuses on 'The Human Development Reports' of the United Nations Development Programme, that attempts to take on the task of incorporating the view of human beings as ends in the accounting and
...