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.
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