Structure and Debt Structure* Joshua D. Rauh Kellogg School of Management and NBER Amir Sufi University of Chicago Booth School of Business and NBER February 2010 *We thank Doug Diamond‚ Anil Kashyap‚ Gordon Phillips‚ Michael Roberts‚ Toni Whited‚ Luigi Zingales‚ and seminar participants at Emory University‚ Georgetown University‚ Maastricht University‚ Rice University‚ Tilburg University‚ the University of California-Berkeley‚ the University of Chicago‚ the University of Colorado‚ the
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Dynamic Dependency Analysis of Ordinary Programs 1 Todd M. Austin and Gurindar S. Sohi Computer Sciences Department University of Wisconsin-Madison 1210 W. Dayton Street Madison‚ WI 53706 faustin sohig@cs.wisc.edu A quantitative analysis of program execution is essential to the computer architecture design process. With the current trend in architecture of enhancing the performance of uniprocessors by exploiting ne-grain parallelism‚ rst-order metrics of program execution‚ such as operation frequencies
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Life + Debt was a great film; especially when followed by a lecture from Fran Korten on the trouble of lending through the International Monetary Fund. As with the other videos in the Social Justice course‚ I learned something new that I was completely unaware of… another way that developed nations like the U.S. take advantage of poorer nations through the International Monetary Fund and other international organizations. I didn’t realize what a negative toll globalization has had on poorer
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Be Data Literate – Know What to Know by Peter F. Drucker Executives have become computer literate. The younger ones‚ especially‚ know more about the way the computer works than they know about the mechanics of the automobile or the telephone. But not many executives are information-literate. They know how to get data. But most still have to learn how to use data. Few executives yet know how to ask: What information do I need to do my job? When do I need it? In what
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Lab – Data Analysis and Data Modeling in Visio Overview In this lab‚ we will learn to draw with Microsoft Visio the ERD’s we created in class. Learning Objectives Upon completion of this learning unit you should be able to: ▪ Understand the concept of data modeling ▪ Develop business rules ▪ Develop and apply good data naming conventions ▪ Construct simple data models using Entity Relationship Diagrams (ERDs) ▪ Develop entity relationships and define
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Philippine Debt Situation Freedom from Debt Coalitiom April 29‚ 2008 Outline (1) Philippine Debt Profile – 2007 Snapshot of Total Philippine Debt Public Debt - Focus on National Government External Debt NG Debt External (to be added later: Closer look at Domestic Debt; Breakdown of GOCC Debts and GFI Debts) Philippine Debt Through the Years Consolidated Public Sector Debt National Government Debt NG Debt External Fiscal Situation and Fiscal Impact of the Debt Arroyo‚ Debt and the
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Ford Motor Company Restructuring Holly Colton Organizational Change: MGT 435 Professor Guwanda Lewis June 7‚ 2010 Introduction With the effects of the ever changing United States economy‚ how was Ford Motor Company able to rise above its competitors to stay afloat in the auto industry? Ford has gone through extensive restructuring in the past years to help the company in this current time of hardship. Some of these restructuring efforts have been to down-size the workforce‚ to focus on
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c. ratio scale d. interval scale 2. Data obtained from a nominal scale a. must be alphabetic b. can be either numeric or nonnumeric c. must be numeric d. must rank order the data 3. In a post office‚ the mailboxes are numbered from 1 to 4‚500. These numbers represent a. qualitative data b. quantitative data c. either qualitative or quantitative data d. since the numbers are sequential‚ the data is quantitative 4. A tabular summary of a set of data showing the fraction of the total number
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Material Safety Data Sheet COUWELD® EXOTHERMIC WELDING POWDER (MAIN) 1. Description of Substance / Preparation and Company Trade Name: Supplier: COUWELD® EXOTHERMIC WELDING POWDER (MAIN) COUGAR No. 345 of 4 Jinyuan Road Shanghai 201812 China Contact: th Tel: Fax: E-mail: +86-21-59139731 +86-21-59139732 info@cougar-asia.com info@cougarele.com.cn Mr. Anthony Woo 2. Composition / Specification of Components Chemical Name Thermit Welding Powder. CAS No. 7429-90-5 (Aluminium) 7440-50-8 (Copper)
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DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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