What can we learn about the effect of mental health on labor market outcomes under weak assumptions? Evidence from the NLSY79.

Autor/inn/en	Germinario, Giuseppe; Amin, Vikesh; Flores, Carlos A.; Flores-Lagunes, Alfonso
Titel	What can we learn about the effect of mental health on labor market outcomes under weak assumptions? Evidence from the NLSY79. Gefälligkeitsübersetzung: Was können wir über die Auswirkungen der psychischen Gesundheit auf die Arbeitsmarktergebnisse unter schwachen Annahmen lernen? Evidenz aus der NLSY79.
Quelle	In: Labour economics, (2022) 79, 13 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	0927-5371
DOI	10.1016/j.labeco.2022.102258
Schlagwörter	Depression; Psychische Störung; Psychischer Faktor; Depression; Psychische Störung; USA; Auswirkung; Qualifikation; Ethnische Gruppe; Schwarze Frau; Gesundheitszustand; Beschäftigungseffekt; Einkommenseffekt; Qualifikation; Auswirkung; Einflussfaktor; Geschlechtsspezifik; Ethnische Gruppe; Hispanoamerikaner; Schwarze Frau; Schwarzer; Weißer; USA
Abstract	"We employ a nonparametric partial identification approach to bound the causal effect of poor mental health on employment and earnings using the National Longitudinal Study of Youth 1979. Our approach allows us to provide bounds on the population average treatment effect based on relatively weak, credible assumptions. We find that being categorized as depressed decreases employment by 10% and earnings by 27% at most, but we cannot statistically rule out a zero effect. We also provide insights into the heterogeneity of the effects on labor market outcomes at different levels of adverse mental health experienced (no, little, mild, moderate, and severe depressive symptoms). We find that going from having no (little) to severe depressive symptoms reduces employment by 3-18% (3-16%) and earnings by 11-44% (12-36%). The estimated bounds statistically rule out null effects for earnings but not for employment." The study refers to the period 1992-1993. (Author's abstract, IAB-Doku, © 2022 Elsevier)..
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2023/1