Back to search

Generalized Intergenerational Mobility Regressions

DSEID
DSEID-001-7368770
DOI
10.1177/00491241251357586
Journal
Sociological Methods & Research
Publisher
SAGE Publications
Published
2025-11
Status
metadata_only

Abstract

Current research on intergenerational mobility (IGM) is informed by statistical approaches based on log-level regressions, whose economic interpretations remain largely unknown. We reveal the subjective value-judgments in them: they are represented by weighted-sums (or aggregators) over heterogeneous groups, with controversial economic properties. Log-level regressions tend to overrepresent the experiences of middle-class children while underrepresenting those from disadvantaged families. We propose a general construction of IGM measures that can incorporate any transparent economic preferences. They are interpreted as the marginal effect of parental normalized social welfare on children’s normalized welfare. Conventional regressions are special cases with implicit economic preferences that fail inequality-aversion and the Pigou–Dalton principle of transfers. Empirically, a variety of economic preferences, with varying inequality aversion, demonstrate a nuanced view of mobility, and perspectives on geographic-differences and dynamics of it.

Metadata is indexed. Open-access discovery has not completed for this record yet.

Publisher or DOI landing page

PDF

No local PDF is available.

GROBID Extracted text; discontinued.

This text is generated from TEI extraction for accessibility, search, and TTS. Formulas, tables, figures, page layout, and references may not perfectly match the original PDF.

No accessible text representation is available. The text extraction service has been discontinued for the time being. If you require this service, for accessibility or any other reason, please submit an issue/request on this page.

Metadata

Title
Generalized Intergenerational Mobility Regressions
Delta ID
DSEID-001-7368770
Authors
Esfandiar Maasoumi, Le Wang, Daiqiang Zhang
Abstract source
crossref
Source URL
None
Access
closed_or_uncertain
Licence
unknown
PDF SHA-256
TEI SHA-256
GROBID

Issues

No public issues have been filed for this DOI.

Submit an issue

Record history

WhenEventFieldOldNew
2026-06-18 19:37:53.011249+00:00identifier_assignedDSEIDDSEID-001-7368770