This paper characterizes and proposes a method to correct for errors-in-variables biases in the estimation of rank correlation coeffcients (Spearman's ρ and Kendall's τ). We first investigate a set of suffcient conditions under which measurement errors bias the sample rank correlations toward...

University students have been particularly affected by the COVID-19 pandemic. We present results from the first wave of the Global COVID-19 Student Survey, which was administered at 28 universities in the United States, Spain, Australia, Sweden, Austria, Italy, and Mexico between April and...

We use complete-count register data to describe various features of intergenerational mobility in Sweden. First, we document the extent of regional variation in educational and income mobility across Swedish municipalities, and describe its spatial pattern. Second, we study the stability of such...

University students have been particularly affected by the COVID-19 pandemic. We present results from the first wave of the Global COVID-19 Student Survey, which was administered at 28 universities in the United States, Spain, Australia, Sweden, Austria, Italy, and Mexico between April and...

The estimation of intergenerational mobility ideally requires full income histories to determine lifetime incomes. However, as applications are typically based on shorter snapshots, estimates are subject to lifecycle bias. Using long income series from Sweden and the US, we illustrate that...

Estimates of the most common mobility measure, the intergenerational elasticity, can be severely biased if snapshots are used to approximate lifetime income. However, little is known about biases in other popular dependence measures. We use long Swedish income series to provide such evidence for...