<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Denning, Jeffrey T.</style></author><author><style face="normal" font="default" size="100%">Turley, Patrick</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Was That SMART?</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Human Resources</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017-01-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">152-186</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/jhr.52.1.0414-6340R1</style></doi><volume><style face="normal" font="default" size="100%">52</style></volume><issue><style face="normal" font="default" size="100%">1</style></issue><abstract><style  face="normal" font="default" size="100%">We examine whether students respond to immediate financial incentives when choosing their college major. From 2006–2007 to 2010–2011, low-income students in technical or foreign language majors could receive up to $8,000 in SMART Grants. Since income-eligibility was determined using a strict threshold, we determine the causal impact of this grant on student major with a regression discontinuity design. Using administrative data from public universities in Texas, we determine that income-eligible students were 3.2 percentage points more likely than their ineligible peers to major in targeted fields. We measure a larger impact of 10.2 percentage points at Brigham Young University.</style></abstract></record></records></xml>