Data and Code for: Teenage Driving, Mortality, and Risky Behaviors
Principal Investigator(s): View help for Principal Investigator(s) Jason Huh; Julian Reif
Version: View help for Version V1
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data | 04/28/2021 05:34:PM | ||
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scripts | 04/28/2021 05:38:PM | ||
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text/plain | 15.2 KB | 11/18/2021 05:43:AM |
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application/pdf | 232.3 KB | 11/16/2021 05:27:AM |
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text/plain | 2.2 KB | 04/28/2021 01:34:PM |
Project Citation:
Huh, Jason, and Reif, Julian. Data and Code for: Teenage Driving, Mortality, and Risky Behaviors. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-11-18. https://doi.org/10.3886/E133501V1
Project Description
Summary:
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This is data and code for the manuscript, "Teenage Driving, Mortality, and Risky Behaviors."
Abstract: We investigate the effect of teenage driving on mortality and risky behaviors in the United States using a regression discontinuity design. We estimate that total mortality rises by 5.84 deaths per 100,000 (15%) at the minimum legal driving age cutoff, driven by an increase in motor vehicle fatalities of 4.92 deaths per 100,000 (44%). We also find that poisoning deaths, which are caused primarily by drug overdoses, rise by 0.31 deaths per 100,000 (29%) at the cutoff and that this effect is concentrated among females. Our findings show that teenage driving contributes to sex differences in risky drug use behaviors.
Abstract: We investigate the effect of teenage driving on mortality and risky behaviors in the United States using a regression discontinuity design. We estimate that total mortality rises by 5.84 deaths per 100,000 (15%) at the minimum legal driving age cutoff, driven by an increase in motor vehicle fatalities of 4.92 deaths per 100,000 (44%). We also find that poisoning deaths, which are caused primarily by drug overdoses, rise by 0.31 deaths per 100,000 (29%) at the cutoff and that this effect is concentrated among females. Our findings show that teenage driving contributes to sex differences in risky drug use behaviors.
Scope of Project
JEL Classification:
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H75 State and Local Government: Health; Education; Welfare; Public Pensions
I10 Health: General
R40 Transportation Economics: General
H75 State and Local Government: Health; Education; Welfare; Public Pensions
I10 Health: General
R40 Transportation Economics: General
Geographic Coverage:
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United States
Time Period(s):
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1983 – 2014
Methodology
Data Source:
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United States National Vital Statistics mortality multiple cause data
The National Longitudinal Study of Adolescent to Adult Health
The National Longitudinal Study of Adolescent to Adult Health
Related Publications
Published Versions
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