Measurement and Metrics

  • Matthias Blum
Part of the Palgrave Studies in Economic History book series (PEHS)


Measuring variables that accurately reflect the desired effect is part of designing successful statistical and econometric studies. This chapter discusses challenges related to data compilation and how inadequate proxies, selection bias and measurement error can undermine empirical projects. Two examples illustrate how mismeasurement has been successfully exploited in recent studies in economic history.

JEL Classification

C43 C52 C81 C82 E01 N01 

Reading List

  1. A’Hearn, B., J. Baten, and D. Crayen. 2009. Quantifying Quantitative Literacy: Age Heaping and the History of Human Capital. The Journal of Economic History 69 (3): 783–808.CrossRefGoogle Scholar
  2. Angrist, J.D., and A.B. Krueger. 2001. Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments. Journal of Economic Perspectives 15 (4): 69–85.CrossRefGoogle Scholar
  3. Blum, M., C.L. Colvin, L. McAtackney, and E. McLaughlin. 2017. Women of an Uncertain Age: Quantifying Human Capital Accumulation in Rural Ireland in the Nineteenth Century. The Economic History Review 71 (1): 187–223.CrossRefGoogle Scholar
  4. Bodenhorn, H., T.W. Guinnane, and T.A. Mroz. 2017. Sample-Selection Biases and the Industrialization Puzzle. The Journal of Economic History 77 (1): 171–207.CrossRefGoogle Scholar
  5. Bolt, J., and J.L. van Zanden. 2014. The Maddison Project: Collaborative Research on Historical National Accounts. The Economic History Review 67 (3): 627–651.Google Scholar
  6. Clark, G. 2009. Book Review. The Journal of Economic History 69 (4): 1156–1161.CrossRefGoogle Scholar
  7. Engerman, S.L. 1997. The Standard of Living Debate in International Perspective: Measures and Indicators. In Health and Welfare during Industrialization, 17–46. Chicago: University of Chicago Press.Google Scholar
  8. Hanley, N., L. Oxley, D. Greasley, E. McLaughlin, and M. Blum. 2014. Empirical Testing of Genuine Savings as an Indicator of Weak Sustainability: A Three-Country Analysis of Long-Run Trends. Environmental and Resource Economics 63 (2): 1–26.Google Scholar
  9. Hausman, J. 2001. Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left. The Journal of Economic Perspectives 15 (4): 57–67.CrossRefGoogle Scholar
  10. Komlos, J. 1998. Shrinking in a Growing Economy? The Mystery of Physical Stature during the Industrial Revolution. The Journal of Economic History 58 (3): 779–802.CrossRefGoogle Scholar
  11. Maddison, A. 2007. Contours of the World Economy 1–2030 AD: Essays in Macro-economic History. Oxford: Oxford University Press.Google Scholar
  12. Prados de la Escosura, L. 2015. World Human Development: 1870–2007. Review of Income and Wealth 61 (2): 220–247.CrossRefGoogle Scholar
  13. Xu, H., L. Li, Z. Zhang, and J. Liu. 2016. Is Natural Experiment a Cure? Re-examining the Long-term Health Effects of China’s 1959–1961 Famine. Social Science & Medicine 148: 110–122.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Matthias Blum
    • 1
  1. 1.Queen’s University BelfastBelfastUK

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