Much of what has been written about trend in mobility is based on the use of indirect standardization to infer changes in unobserved rates of upward mobility. This method, which consists of interpreting the differences between actual and hypothetical destination percentages (d values), has not been critically examined. Here we investigate two procedures for applying indirect standardization. The first procedure is modeled after previous use in the literature. Applied to data on one‐year male intragenerational mobility, this procedure erroneously concludes that there was an increase in the overall probability of upward mobility. The second procedure, which is based on the decomposition of d values into weighted sums of changes in aggregate mobility rates, produces results that are generally valid though diffuse. For two reasons, previous use of indirect standardization has been biased toward overstating increases in upward mobility: d values are not sensitive to upward shift in origin distribution, and d values do not distinguish between increase in upward mobility and reductions in downward mobility.
Indirect measurement of mobility trends: The case of male intragenerational mobility
Reprints and Corporate Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
To request a reprint or corporate permissions for this article, please click on the relevant link below:
Academic Permissions
Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?
Obtain permissions instantly via Rightslink by clicking on the button below:
If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.