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<p><strong>【急求】proquest库英文文献1篇</strong></p><p>【题名】: <strong><span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">Quantile</font></span>   <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> for <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span>   <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">data</font></span><br/>  </strong><br/>【作者】：<em>Lamarche, Carlos Eduardo</em><br/>【杂志名全称】：Dissertation</p><p>【年, 卷(期), 起止页码】：<br/>【全文链接】：<font size="3">http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3242908</font></p><p></p><p><table cellspacing="0" cellpadding="2" border="0"><tbody></tbody></table></p><p><table id="tableIndexTerms" cellspacing="1" cellpadding="4" border="0"><tbody><tr><td class="textSmall" valign="top"><strong>Advisor:</strong></td><td class="textSmall" valign="top">Koenker, Roger</td></tr><tr><td class="textSmall" valign="top"><strong>School:</strong></td><td class="textSmall" valign="top">University of Illinois at Urbana-Champaign</td></tr><tr><td class="textSmall" valign="top"><strong>School Location:</strong></td><td class="textSmall" valign="top">United States -- Illinois</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap"><strong>Keyword(s):</strong></td><td class="textSmall" valign="top">Quantile regression, Panel data</td></tr><tr><td class="textSmall" valign="top"><strong>Source:</strong></td><td class="textSmall" valign="top">DAI-A 67/11, p. 4289, May 2007</td></tr><!--Element not supported - Type: 8 Name: #comment--><tr><td class="textSmall" valign="top" nowrap="nowrap"><strong>Source type:</strong></td><td class="textSmall" valign="top">Dissertation</td></tr><!--Element not supported - Type: 8 Name: #comment--><!--Element not supported - Type: 8 Name: #comment--><tr><td class="textSmall" valign="top" nowrap="nowrap"><strong>Subjects:</strong></td><td class="textSmall" valign="top">Labor economics, Economic theory</td></tr><!--Element not supported - Type: 8 Name: #comment--><tr><td class="textSmall" valign="top" nowrap="nowrap"><strong>Publication Number:</strong></td><td class="textSmall" valign="top">AAT 3242908</td></tr><tr><td class="textSmall" valign="top" nowrap="nowrap"><strong>ISBN:</strong></td><td class="textSmall" valign="top">9780542989278</td></tr><!--Element not supported - Type: 8 Name: #comment--><tr><td class="textSmall" valign="top" nowrap="nowrap"><strong>Document URL:</strong></td><td class="textSmall" valign="top">http://proquest.umi.com/pqdlink?did=1276398191&Fmt=7&clientI d=75105&RQT=309&VName=PQD</td></tr><!--Element not supported - Type: 8 Name: #comment--><!--Element not supported - Type: 8 Name: #comment--><tr><td class="textSmall" valign="top" nowrap="nowrap"><strong>ProQuest document ID:</strong></td><td class="textSmall" valign="top"><p>1276398191</p><p></p><p><table cellspacing="0" cellpadding="3" width="100%" border="0"><tbody><tr valign="baseline" style="BACKGROUND: #eeeeee;"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>题名:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2"><font size="3"><b><span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">Quantile</font></span><br/>              <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> for <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span><br/>              <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">data</font></span> /</b></font></font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>著者:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2"><a href="http://firstsearch.oclc.org/WebZ/FSQUERY?searchtype=hotauthors:format=BI:numrecs=10:dbname=WorldCat::termh1=Lamarche%5C%2C+Carlos+Eduardo%5C%2C:indexh1=pn%3D:termh2=1971-:indexh2=pn%3D:operatorh1=AND:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=error/badsearch.html">Lamarche, Carlos Eduardo, 1971-</a> </font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>年份:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">2006</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>载体形态:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">ix, 139 leaves, bound : ill. ; 29 cm.</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>登载:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">Dissertation Abstracts International 67-11A.</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>学位论文:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>语种:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">英语</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>标准号码:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2"><b>ISBN:</b> 9780542989278; 0542989271</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>摘要:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">This dissertation considers three essays on <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> methods for <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">data</font></span> models. Chapter 1 investigates a class of penalized <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> estimators for <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">data</font></span>. Under plausible conditions, I obtain the minimum variance estimator in the class of penalized <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> estimators, the analog of the Gaussian random effects estimator in the class of penalized least squares estimators for <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">data</font></span>. Monte-Carlo evidence reveals that the estimator can significantly reduce the variability of the fixed effect version of the estimator without introducing bias. I then employ <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">data</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> methods for analysing voucher programs that serve heterogeneous students. Chapter 2 develops a fixed effects <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> application. Rouse (1998) analysis of the Milwaukee Parental Choice program suggests that students selected to attend the choice school had a positive linear gain in mathematics. We show that students' gains are more subtle in nature. Remarkably, while high attainment students had a positive, convexly increasing gain in mathematics, lower attainment students were actually adversely affected over time. However, the evidence suggests that the program prevented weak students from having an even bigger loss experienced by students in the comparison group. Chapter 3 illustrates the use of the penalized <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span> estimator. Angrist et al. (2002) points out that the primary incentive effect of the Colombia's voucher program should be on those who are near the margin for passing on to the next grade because vouchers were renewable as long as the students maintained good academic progress. Applying <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span>, they report that increases in test scores are not observed in the lower quantiles of the conditional educational attainment distribution. They also estimate a classical Gaussian random effects model to account for individual heterogeneity, but this approach precludes estimating effects other than the mean. To get around the problem, we employ the <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">quantile</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">regression</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span> methods. The analysis shows that the program impact is largest in the lower tail of the conditional educational attainment distribution. This was conjectured by the original authors, but could not be confirmed empirically using conventional <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">panel</font></span><br/>            <span class="matchterm0"><font style="BACKGROUND-COLOR: #ffff66;">data</font></span> methods that focused on the conditional mean.</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>检索:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2"><a title="与外部网址的链接" href="http://firstsearch.oclc.org/WebZ/FSPage?pagetype=return_frameset:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:entityframedurl=http%3A%2F%2Fgateway.proquest.com%2Fopenurl%3Furl_ver%3DZ39.88-2004%26rft_val_fmt%3Dinfo%3Aofi%2Ffmt%3Akev%3Amtx%3Adissertation%26res_dat%3Dxri%3Apqdiss%26rft_dat%3Dxri%3Apqdiss%3A3242908:entityframedtitle=WorldCat:entityframedtimeout=5:entityopenTitle=:entityopenAuthor=:entityopenNumber=:"><nobr><img height="16" alt="与外部网址的链接" src="http://firstsearch.oclc.org/images/fs_linksmall.gif" width="16" align="absMiddle" border="0"/> <font size="1">http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3242908</font></nobr></a></font></td></tr><tr valign="baseline"><td></td><td align="left" bgcolor="#eeeeee"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2">主题 </font></b></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>叙词:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2"><a href="http://firstsearch.oclc.org/WebZ/FSQUERY?searchtype=hotsubjects:format=BI:numrecs=10:dbname=WorldCat::termh1=%22Economics%2C+Labor.%22:indexh1=su%3D:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=error/badsearch.html">Economics, Labor.</a> <br/><a href="http://firstsearch.oclc.org/WebZ/FSQUERY?searchtype=hotsubjects:format=BI:numrecs=10:dbname=WorldCat::termh1=%22Economics%2C+Theory.%22:indexh1=su%3D:sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=error/badsearch.html">Economics, Theory.</a> </font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>注释:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">Source: Dissertation Abstracts International, Volume: 67-11, Section: A, page: 4289./ Adviser: Roger Koenker./ Includes bibliographical references (leaves 134-138)/ Available on microfilm from Pro Quest Information and Learning.</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>分类号:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2"><b>杜威:</b><br/>            <a title="330 = Social sciences : Economics" href="http://firstsearch.oclc.org/WebZ/FSQUERY?sessionid=fsapp13-41469-fcllx6x8-ixvus9:entitypagenum=6:0:next=html/records.html:bad=html/records.html:format=BI:numrecs=10:indexh1=:termh1=dd%3A330:dbname=WorldCat:searchtype=hotdewey">330</a></font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>责任:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">by Carlos Eduardo Lamarche.</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>归类:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">硕士论文/博士论文 (deg); 网络资源 (url)</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>资料类型:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">书; 互联网资源</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>登记日期:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">20071003</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>更新:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">20071003</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>登入号:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2"><b>OCLC:</b> 173640562</font></td></tr><tr valign="baseline"><td nowrap="nowrap" align="right" width="10%"><b><font face="Tahoma,Arial,Helvetica" color="#666666" size="2"><b>数据库:</b></font></b></td><td><font face="Arial,Helvetica,sans-serif" size="2">WorldCat</font></td></tr></tbody></table></p></td></tr></tbody></table></p>

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