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Source: IZA Institute of Labor Economics
Resulting in 2 citations.
1. Arcidiacono, Peter
Aucejo, Esteban M.
Maurel, Arnaud
Ransom, Tyler
College Attrition and the Dynamics of Information Revelation
IZA Institute of Labor Economics (2023 November).
Also: https://www.jstor.org/stable/resrep57219
Cohort(s): NLSY97
Publisher: IZA Institute of Labor Economics
Keyword(s): Academic Development; Achievement; College Degree; College Dropouts; College Education; College Graduates; Higher Education; Income; Informational Friction; Schooling, Post-secondary; Wages

Permission to reprint the abstract has not been received from the publisher.

We examine how informational frictions impact schooling and work outcomes. To do so, we estimate a dynamic structural model where individuals face uncertainty about their academic ability and productivity, which respectively determine their schooling utility and wages. Our framework accounts for heterogeneity in college types and majors, as well as occupational search frictions and work hours. Individuals learn from grades and wages in a correlated manner and may change their choices as a result. Removing informational frictions would increase the college graduation rate by 4.4 percentage points, which would increase further by 2 percentage points in the absence of search frictions. Providing students with full information about their abilities would also result in large increases in the college and white-collar wage premia, while reducing the college graduation gap by family income.
Bibliography Citation
Arcidiacono, Peter, Esteban M. Aucejo, Arnaud Maurel and Tyler Ransom. "College Attrition and the Dynamics of Information Revelation." IZA Institute of Labor Economics (2023 November).
2. Hansen, Jörgen
Davalloo, Golnaz
Persistent Marijuana Use: Evidence from the NLSY
IZA Institute of Labor Economics (2023 September).
Also: https://www.jstor.org/stable/resrep57481
Cohort(s): NLSY97
Publisher: IZA Institute of Labor Economics
Keyword(s): Marijuana/Cannabis; Marijuana/Cannabis Use

Permission to reprint the abstract has not been received from the publisher.

We analyze persistence in marijuana consumption utilizing data from the 1997 cohort of the National Longitudinal Survey of Youth (NLSY97). We allow for three sources of persistence: pure state dependence, time invariant unobserved heterogeneity and persistence in idiosyncratic, time-varying shocks. We also consider intensity of consumption based on days of use per month and estimate a dynamic ordered Probit model using simulated Maximum Likelihood. We consider a Polya model that generalizes the more commonly used Markov models. The results show that there is a causal effect of previous use. However, ignoring unobserved heterogeneity and serially correlated shocks significantly exaggerates the state dependence.
Bibliography Citation
Hansen, Jörgen and Golnaz Davalloo. "Persistent Marijuana Use: Evidence from the NLSY." IZA Institute of Labor Economics (2023 September).