TY - JOUR AU - Cutler,David M. AU - Meara,Ellen AU - Richards,Seth TI - Induced Innovation and Social Inequality: Evidence from Infant Medical Care JF - National Bureau of Economic Research Working Paper Series VL - No. 15316 PY - 2009 Y2 - September 2009 UR - http://www.nber.org/papers/w15316 L1 - http://www.nber.org/papers/w15316.pdf N1 - Author contact info: David M. Cutler Department of Economics Harvard University 1875 Cambridge Street Cambridge, MA 02138 Tel: 617/496-5216 Fax: 617/496-8951 E-Mail: dcutler@harvard.edu Ellen Meara Dartmouth Institute for Health Policy and Clinical Practice 35 Centerra Parkway Lebanon, NH 03755 Tel: 603/653-0899 E-Mail: ellen.r.meara@dartmouth.edu Seth Richards Carnegie Mellon University E-Mail: sethrs@andrew.cmu.edu AB - We develop a model of induced innovation where research effort is a function of the death rate, and thus the potential to reduce deaths in the population. We also consider potential social consequences that arise from this form of induced innovation based on differences in disease prevalence across population subgroups (i.e. race). Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common conditions in the population as a whole, induced innovation leads to growth in mortality disparities between minority and majority groups. Using information on infant deaths in the U.S. between 1983 and 1998, we find support for all three empirical predictions. We estimate that induced innovation predicts about 20 percent of declines in infant mortality over this period. At the same time, innovation that occurred in response to the most common causes of death favored the majority racial group in the U.S., whites. We estimate that induced innovation contributed about one third of the rise in the black-white infant mortality ratio during our period of study. ER -