The effect of a peer's teen pregnancy on sexual behavior.

We examine whether a friend or older sibling's teen pregnancy impacts one's own sexual behavior. Employing an event study design and rich retrospective data on sexual activity, we find that those who observe a peer's teen pregnancy change sexual behavior after the pregnancy ends to put themselves at lower risk of their own teen pregnancy; specifically, they are less likely to have unprotected sex and have fewer sexual partners in the year following the end of the teen pregnancy. We find that females are more likely to change their sexual behavior compared to males, and the effects are primarily driven by peer live births, as opposed to other pregnancies. Ultimately, we find a slight decline in the likelihood of one's own teen pregnancy, though estimates are noisy. Our work suggests that education campaigns that provide a realistic portrayal of teen parenthood may be an effective tool for impacting teen behavior.

Labor demand in the time of COVID-19: Evidence from vacancy postings and UI claims.

We use job vacancy data collected in real time by Burning Glass Technologies, as well as unemployment insurance (UI) initial claims and the more traditional Bureau of Labor Statistics (BLS) employment data to study the impact of COVID-19 on the labor market. Our job vacancy data allow us to track the economy at disaggregated geography and by detailed occupation and industry. We find that job vacancies collapsed in the second half of March. By late April, they had fallen by over 40%. To a first approximation, this collapse was broad based, hitting all U.S. states, regardless of the timing of stay-at-home policies. UI claims and BLS employment data also largely match these patterns. Nearly all industries and occupations saw contraction in postings and spikes in UI claims, with little difference depending on whether they are deemed essential and whether they have work-from-home capability. Essential retail, the "front line" job most in-demand during the current crisis, took a much smaller hit, while leisure and hospitality services and non-essential retail saw the biggest collapses. This set of facts suggests the economic collapse was not caused solely by the stay-at-home orders, and is therefore unlikely to be undone simply by lifting them.