<?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%">Holmlund, Helena</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Estimating Long-Term Consequences of Teenage Childbearing</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%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2005-07-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">716-743</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/jhr.40.3.716</style></doi><volume><style face="normal" font="default" size="100%">40</style></volume><issue><style face="normal" font="default" size="100%">3</style></issue><abstract><style  face="normal" font="default" size="100%">Within-family estimates have been considered a remedy to selection bias in estimates of long-run consequences of teen motherhood. A major critique, however, is that heterogeneity within the family might still bias the estimates. Using Swedish data on biological sisters, I revisit the question of the consequences of teenage motherhood. My contribution lies in controlling for heterogeneity within the family by using premotherhood school performance, a characteristic that differs across sisters. My findings confirm the presumption that within-family heterogeneity can result in biased sibling estimates. Moreover, my results show that when controlling for school performance, the siblings approach and a traditional cross-section yield similar coefficients.</style></abstract></record></records></xml>