Status Traps

A-Tier
Journal: Journal of Business & Economic Statistics
Year: 2017
Volume: 35
Issue: 2
Pages: 265-287

Authors (3)

Steven N. Durlauf (not in RePEc) Andros Kourtellos (not in RePEc) Chih Ming Tan (University of North Dakota)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into “status traps.” Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts.

Technical Details

RePEc Handle
repec:taf:jnlbes:v:35:y:2017:i:2:p:265-287
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-25