Frank Batten School of Leadership & Public Policy
University of Virginia
235 McCormick Rd.
P.O. Box 400893
Charlottesville, VA 22904-4893
Institutional Affiliation: University of Virginia
Information about this author at RePEc
NBER Working Papers and Publications
|July 2016||Cognitive Performance and Labor Market Outcomes|
with Dajun Lin, Christopher J. Ruhm: w22470
We use information from the National Longitudinal Survey of Youth 1979 (NLSY79) and supplementary data sources to examine how cognitive performance, measured at approximately the end of secondary schooling, is related to the labor market outcomes of 20 through 50 year olds. Our estimates control for a wide array of individual and family background characteristics, a limited set of non-cognitive attributes, survey year dummy variables and, sometimes, geographic place effects. The analysis reveals five main findings. First, cognitive performance is positively associated with future labor market outcomes at all ages. The relationship is attenuated but not eliminated by the addition of controls for non-cognitive characteristics, while the inclusion of place effects does not change the estimate...
Published: Lin, Dajun & Lutter, Randall & Ruhm, Christopher J., 2018. "Cognitive performance and labour market outcomes," Labour Economics, Elsevier, vol. 51(C), pages 121-135. citation courtesy of
|December 2006||Black Box Warnings and Drug Safety: Examining the Determinants and Timing of FDA Warning Labels|
with Allan Begosh, John Goldsmith, Ed Hass, Clark Nardinelli, John A. Vernon: w12803
Comparing the safety of prescription drugs over time is difficult due to the paucity of reliable quantitative measures of drug safety. Both the academic literature and popular press have focused on drug withdrawals as a proxy for breakdowns in the drug safety system. This metric, however, is problematic because withdrawals are rare events, and they may be influenced by factors beyond a drug's safety profile. In the current paper, we propose a new measure: the incidence and timing of Black Box Warnings (BBWs). BBWs are warnings placed on prescription drug labels when a drug is determined to carry a significant risk of a serious or life-threatening adverse event. Using a unique data set, one that includes all new molecular entities (NMEs) submitted to the FDA between May 1981 and February 20...