<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Daniel Carpenter</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">“Adaptive Signal Processing  Hierarchy  and Budgetary Control in Federal Regulation”</style></title><secondary-title><style face="normal" font="default" size="100%">American Political Science Review  </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><volume><style face="normal" font="default" size="100%">90</style></volume><pages><style face="normal" font="default" size="100%">283-302</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">2</style></issue><notes><style face="normal" font="default" size="100%">Winner of The Herbert Kaufman Award for Best Paper presented in the Public Administration Section,  American Political Science Association annual meetings,  August 1992,  Chicago. 

Winner of the Best Paper Award, Executive Politics Section, American Political Science Association annual meetings, August 1992, Chicago.</style></notes></record></records></xml>