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Measurement and Metrics

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

Abstract

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 

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Copyright information

© The Author(s) 2018

Authors and Affiliations

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

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