Data and Code for: Measuring Absolute Income Mobility: Lessons from North America and Europe

Machin, S.ORCID logo, Manduca, R., Hell, M., Adermon, A., Blanden, J., Bratberg, E., Gielen, A., van Kippersluis, H., Keun Bok, L., Munk, M., +4 more...Nybom, M., Ostrovsky, Y., Rahman, S. & Sirniö, O. (2024). Data and Code for: Measuring Absolute Income Mobility: Lessons from North America and Europe. [Dataset]. OpenICPSR. https://doi.org/10.3886/e176522
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We use linked parent-child administrative data for five countries in North America and Europe, and detailed survey data for two more, to investigate methodological challenges in the estimation of absolute income mobility. We show that the commonly used “copula and marginals” approximation methods perform well across countries in our sample, and the greatest challenges to their accuracy stem not from assumptions about relative mobility rates over time but from the use of non-representative marginal income distributions. We also provide a multi-country analysis of sensitivity to specification decisions related to age of income measurement, income concept, family structure, and price index.
Item Type Dataset
Publisher OpenICPSR
DOI 10.3886/e176522
Date made available 28 February 2024
Keywords intergenerational mobility, absolute mobility, Personal Income, Wealth, and Their Distributions, Unemployment, Employment, Wages, Intergenerational Income Distribution, Aggregate Human Capital, Aggregate Labor Productivity, Job, Occupational, and Intergenerational Mobility, Promotion
Temporal coverage
From
To
1 January 1940
31 January 2020
Geographic coverage The United Kingdom, The Netherlands, Canada, Sweden, United States of America, Norway, Finland
Resource language Other
Departments LSE

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Available at: 10.3886/e176522

Access level: Open

Licence: Creative Commons: Attribution 4.0


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