CCPR Seminar

"Do Recent Declines in U.S. Life Expectancy Mean Bad News for Healthy Life Expectancy?"

ABSTRACT

Life expectancy for non-Hispanic white (henceforth white) Americans with less than high school education has fallen in recent years—particularly for women – while life expectancy has increased substantially for the college educated population.  However, the extent to which the declines/increases in life expectancy translate into healthy life expectancy remains unclear.

"The Effect of State Taxes on the Geographical Location of
Top Earners: Evidence from Star Scientists "

Co-sponsored with the Department of Economics

ABSTRACT

In the U.S., personal and business taxes vary enormously from state to state. While these differences have the potential to affect the geographical location of highly skilled workers and employers across the country, evidence on their effects is limited. We uncover large, stable, and precisely estimated effects of personal and corporate taxes on star scientists’ migration patterns. The long run elasticity of mobility relative to taxes is 1.8 for personal income taxes and 1.9 for state corporate income tax. While there are other factors that drive when innovative individual and innovative companies decide to locate, there are enough firms and workers on the
margin that state taxes matter.

Website

"Probabilistic Cause-of-Death Assignment using Verbal Autopsies"

ABSTRACT

In areas without complete-coverage civil registration and vital statistics systems there is uncertainty about even the most basic demographic indicators.  In such areas the majority of deaths occur outside hospitals and are not recorded.  Worldwide, fewer than one-third of deaths are assigned a cause, with the least information available from the most impoverished nations.  In populations like this, verbal autopsy (VA) is a commonly used tool to assess cause of death and estimate cause-specific mortality rates and the distribution of deaths by cause.  VA uses an interview with caregivers of the decedent to elicit data describing the signs and symptoms leading up to the death.  This talk describes a new statistical method to classify cause of death using information acquired through VA.  Unlike current approaches, our method shares uncertainty between cause of death assignments for specific individuals and the distribution of deaths by cause across the population.  We demonstrate the effectiveness of our method using side-by-side comparisons with both observed and simulated data.