<?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%">Llull, Joan</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">The Effect of Immigration on Wages: Exploiting Exogenous Variation at the National Level</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%">2017-04-19 15:11:24</style></date></pub-dates></dates><elocation-id><style  face="normal" font="default" size="100%">0315-7032R2</style></elocation-id><doi><style  face="normal" font="default" size="100%">10.3368/jhr.53.3.0315-7032R2</style></doi><volume><style face="normal" font="default" size="100%"></style></volume><issue><style face="normal" font="default" size="100%"></style></issue><abstract><style  face="normal" font="default" size="100%">I estimate the effect of immigration on wages of native male workers correcting for endogenous allocation of immigrants across education-experience cells. Exogenous variation is obtained from interactions of push factors, distance, and skill-cell dummies: distance mitigates the effect of push factors more severely for some skill groups. I propose a two-stage approach (Sub-Sample 2SLS) that estimates the first stage regression with an augmented sample of destination countries, and the second stage with a restricted sub-sample of interest. Asymptotic properties are discussed. Results show important OLS biases. For U.S. and Canada, Sub-Sample 2SLS elasticities average around minus one, very stable across alternative specifications and different instruments.</style></abstract></record></records></xml>