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<title>Pingkang Yu</title>
<copyright>Copyright (c) 2012  All rights reserved.</copyright>
<link>http://works.bepress.com/pingkang_yu</link>
<description>Recent documents in Pingkang Yu</description>
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<title>学术履历</title>
<link>http://works.bepress.com/pingkang_yu/29</link>
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<pubDate>Sun, 01 Jan 2012 18:54:51 PST</pubDate>
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<author>Pingkang Yu</author>


<category>Curriculum Vitae</category>

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<title>Research Statement</title>
<link>http://works.bepress.com/pingkang_yu/27</link>
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<pubDate>Wed, 14 Dec 2011 22:34:06 PST</pubDate>
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<author>Pingkang Yu</author>


<category>Curriculum Vitae</category>

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<item>
<title>Curriculum Vitae</title>
<link>http://works.bepress.com/pingkang_yu/26</link>
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<pubDate>Thu, 08 Dec 2011 20:37:43 PST</pubDate>
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<author>Pingkang Yu</author>


<category>Curriculum Vitae</category>

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<title>4. Low-documentation Loan and Securitization—Empirical Evidence on the Role of Screening Cost in the Origin of the Subprime Mortgage Crisis</title>
<link>http://works.bepress.com/pingkang_yu/25</link>
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<pubDate>Thu, 08 Dec 2011 20:33:10 PST</pubDate>
<description>
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	<p>This paper presents an empirical study on the role of screening cost in the origin of the recent subprime mortgage crisis. Based on the Lender Processing Services (LPS) data, the loan-level dataset from large mortgage servicers of the US, this study tested some hypotheses generated from the theory developed in the second thesis. The dataset offers a natural experiment on the effect of lax screening on the shrinkage of dispersion of mortgage rates and on the rise of mortgage default. Using the treatment method, this study further estimates the screening cost for low-documentation loans that were securitized versus held in portfolio. And based on a non-linear decomposition method, this study also quantifies the impact of low-documentation loans on the rate of mortgage default.</p>

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<author>Pingkang Yu</author>


<category>PhD Dissertation</category>

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<title>3. Screening Cost and Business Cycle— Transmission of the Subprime Mortgage Crisis</title>
<link>http://works.bepress.com/pingkang_yu/23</link>
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<pubDate>Fri, 21 Oct 2011 12:41:16 PDT</pubDate>
<description>
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	<p>This paper is built upon a real business cycle model with financial friction. The model captures the friction caused by the pre-lending screening cost of financial intermediary that has been largely overlooked in the macro literature. Heighted screening cost affects the volatility of macro economic variables through two channels. Firstly, through the direct channel, an increase of screening cost raises the amount of capital destroyed in the process of information acquisition, which amplifies and propagates the impulse response of economic variables to exogenous shocks. Secondly, through the indirect channel, heightened screening cost leads the regime of credit lending to switch from separating equilibrium to pooling, which alters the quality distribution of loan borrowers and causes wild economic fluctuations. The model is calibrated to match the results from real data. This paper extends the literature of credit channel of monetary policy featured by the papers done by Carlstrom and Fuerst 1997 and Bernanke, Gertler and Gilchrist 1999. And it can explain why the increase of screening cost due to exogenous factors such as securitization can lead to larger and more persistent volatility of the macro economy in the recent crisis.</p>

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<author>Pingkang Yu</author>


<category>PhD Dissertation</category>

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<title>2. Screening Cost, Credit Risk, and the Optimal Structure of Mortgage Lending—Origin of the Subprime Mortgage Crisis</title>
<link>http://works.bepress.com/pingkang_yu/22</link>
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<pubDate>Tue, 04 Oct 2011 14:14:37 PDT</pubDate>
<description>
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	<p>This paper attempts to answer a direct question—who should get mortgage credit and how should that credit be supplied? This question is at the heart of the recent subprime crisis and the efforts to reform mortgage lending through new regulations.</p>
<p>This paper develops a credit market model with borrower’s self-selection and lender’s costly screening. Borrowers in the model differ in both screening cost and credit risk. In particular, the model includes fraudulent borrowers and low-risk-high-documentation-cost borrowers.</p>
<p>The paper finds that separating equilibrium, where specialized lender serves the targeted type of borrower, is the only feasible market structure in the long run. In the short run, when the screening cost changes due to the change of screening technology or financial innovations, a host of pooling equilibria can emerge. However, all the robust pooling equilibria are those pooled with fraudulent borrowers without lender’s screening. This establishes the channel through which the fraudulent borrowers enter and eventually destroy the market, and make the market structure switch back to separating.</p>
<p>From the perspective of screening cost, this paper provides explanations to many stylized facts in the mortgage market in the past twenty years, such as the failure of low-documentation loan and the negative effect of securitization. It sheds light on the origin of the recent subprime mortgage crisis and means to evaluate and regulate future financial innovations.</p>

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<author>Pingkang Yu</author>


<category>PhD Dissertation</category>

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<title>1. Costly Screening, Self Selection, and the Existence of a Pooling Equilibrium in Credit Markets (Job Market Paper)</title>
<link>http://works.bepress.com/pingkang_yu/21</link>
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<pubDate>Mon, 03 Oct 2011 18:48:02 PDT</pubDate>
<description>
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	<p>This paper presents a credit market model that embeds a costly, universal and imperfect screening technology in an otherwise simple model with borrower self-selection and costly lender screening. Contrary to the result in previous models, such as Wang and Williamson (1998) with random screening, the combination of universal screening and type I screening error produces pooling equilibrium as a non-trivial outcome. This result suggests that generalized lenders engaged in price rationing can sometimes compete with specialized lenders serving a single borrower type in credit markets that relies on costly lender screening as a sorting device.</p>

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<author>Pingkang Yu</author>


<category>PhD Dissertation</category>

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<title>美国大都市区域高科技活动与经济发展：上海高科技发展的定位在哪里？</title>
<link>http://works.bepress.com/pingkang_yu/20</link>
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<pubDate>Tue, 02 Mar 2010 13:13:01 PST</pubDate>
<description>
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	<p>http://sh.eastday.com/qtmt/20090805/u1a610485.html</p>

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<author>Pingkang (平康） Yu （俞） et al.</author>


<category>Contributions to Books</category>

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<title>Update New England</title>
<link>http://works.bepress.com/pingkang_yu/10</link>
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<pubDate>Mon, 23 Apr 2007 12:49:17 PDT</pubDate>
<description>
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	<p>Quarterly publication from 2003 to 2005 for the comprehensive coverage of economic conditions</p>

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<author>Pingkang Yu</author>


<category>Editing and Commentary</category>

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<title>The Region’s High-Tech Economies</title>
<link>http://works.bepress.com/pingkang_yu/9</link>
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<pubDate>Wed, 18 Apr 2007 01:17:45 PDT</pubDate>
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<author>Daisaku  Yamamoto et al.</author>


<category>Articles in Scholarly Publications</category>

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<title>High Tech Activity and Urban Economic Development in the Unite States: Where Should the Bar Be Set for Shanghai?</title>
<link>http://works.bepress.com/pingkang_yu/7</link>
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<pubDate>Wed, 18 Apr 2007 01:01:07 PDT</pubDate>
<description>
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	<p>http://www.upress.umn.edu/Books/C/chen_shanghai.html</p>

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<author>Ann Markusen et al.</author>


<category>Contributions to Books</category>

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<title>Merchandise Exports: New England Outshines the Nation</title>
<link>http://works.bepress.com/pingkang_yu/6</link>
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<pubDate>Wed, 18 Apr 2007 00:45:40 PDT</pubDate>
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<author>Pingkang Yu</author>


<category>Articles in Scholarly Publications</category>

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<title>Focus on high-tech: what&apos;s in a name?: gauging high-tech activity</title>
<link>http://works.bepress.com/pingkang_yu/5</link>
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<pubDate>Wed, 18 Apr 2007 00:37:50 PDT</pubDate>
<description>
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	<p>The Boston metro area fares well when assessing a region’s high-tech capacity by its share of scientific and technical occupations.</p>

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<author>Pingkang Yu</author>


<category>Articles in Scholarly Publications</category>

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<title>Focus on the Region: Defense Windfall for New England?</title>
<link>http://works.bepress.com/pingkang_yu/4</link>
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<pubDate>Wed, 18 Apr 2007 00:27:44 PDT</pubDate>
<description>
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	<p>Although New England still gets more than its share of defense prime contract dollars, the recent rise in U.S. defense spending will likely have a smaller regional impact than in the past.</p>

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<author>Pingkang Yu et al.</author>


<category>Articles in Scholarly Publications</category>

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<title>Rejoinder: High-Tech Rankings, Specialization, and Relationship to Growth </title>
<link>http://works.bepress.com/pingkang_yu/3</link>
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<pubDate>Wed, 18 Apr 2007 00:18:15 PDT</pubDate>
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<author>Daisaku  Yamamoto  et al.</author>


<category>Articles in Refereed Journals</category>

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<title>Gauging Metropolitan &quot;High-Tech&quot; and &quot;I-Tech&quot; Activity</title>
<link>http://works.bepress.com/pingkang_yu/2</link>
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<pubDate>Wed, 18 Apr 2007 00:07:38 PDT</pubDate>
<description>
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	<p>In the past few years, a number of new studies have published high-tech rankings of American metropolitan areas that are used by many business consultants and local economic development organizations to advise firms on location strategies. In this article, the authors generate their own rankings based on an occupational definition of "high techness" and compare them with those of four other studies. The results rank larger and older industrial cities, such as Chicago, New York, and even Detroit, higher than many of the smaller places celebrated as high tech, such as Austin. The work demonstrates that the methodology underlying rankings is crucially important to the outcome. By abandoning narrow notions of high tech restricted to maturing technologies in computers, electronics, and telecommunications and instead using science and technology (S&T) occupations as a marker for high tech, it may be possible to tag the innovative potential of emerging sectors, including high-tech services.</p>

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<author>Karen  Chapple et al.</author>


<category>Articles in Refereed Journals</category>

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<title>New Approaches to Ranking Economics Journals</title>
<link>http://works.bepress.com/pingkang_yu/1</link>
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<pubDate>Tue, 17 Apr 2007 23:37:15 PDT</pubDate>
<description>
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	<p>We develop a flexible, citations- and reference-intensity-adjusted ranking technique that allows a specified set of journals to be evaluated using a range of alternative criteria. We also distinguish between the influence of a journal and that of a journal article, with the latter concept arguably being more relevant for measuring research productivity. The list of top economics journals can (but does not necessarily) change noticeably when one examines citations in the social science and policy literatures, and when one measures citations on a per-article basis. The changes in rankings are due to the broad interest in applied microeconomics and economic development, to differences in citation norms and in the relative importance assigned to theoretical and empirical contributions, and to the lack of a systematic effect of journal size on influence per article.  We also find that economics is comparatively self-contained but nevertheless draws knowledge from a range of other disciplines.</p>

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<author>Yolanda K. Kodrzycki et al.</author>


<category>Articles in Refereed Journals</category>

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