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Berkeley - ECON - 222
The Geography of Organizational KnowledgeSteven Klepper, Carnegie Mellon UniversityDate of this version: February 2007 Print date: 19 February, 2007 Steven Klepper Dept. of Social & Decision Sciences Carnegie Mellon University Pittsburgh, PA 1521
Berkeley - ECON - 222
How Strong Are Weak Patents?* Joseph Farrell and Carl Shapiro January 2007ABSTRACT. We analyze patent licensing by a patent holder to downstream technology users. We study how the structure and level of royalties depends on the patents strength, i.
Berkeley - ECON - 222
Inventors Response to Firm AcquisitionsKatrin Hussinger1 K. U. Leuven, Leuven (Belgium) Centre for European Economic Research (ZEW), Mannheim (Germany) March 2007 AbstractThe success of mergers and acquisitions (M&As) crucially depends on effectiv
Berkeley - ECON - 222
Leadership and Decision Making of Research Teams and the Effects on Timeliness of R&DAnne H. KochResponsiveness to market needs in the form of a rapid product development process is of paramount importance to a firm seeking to improve or maintain
Berkeley - IS - 255
Foundations of Software DesignLecture 1: Course Overview Intro to Binary and BooleanMarti HearstSIMS, University of California at Berkeley1Course Objectives Learn key computer science concepts. Catch up on missing math background. Become
Berkeley - IS - 255
Foundations of Software DesignLecture 2: How Computers Work Marti HearstFall 20021How Do Computers Work?We are going bottom-up, with digressions Programming Languages Assembly Language CPUAddress Space Code vs. DataMachine InstructionsCir
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 4: Operating Systems1Today Revisit instructions and the CPU Measuring CPU Performance The Memory Hierarchy Operating Systems Programs vs. Processes Process Scheduling Deadlock
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 5: Operating Systems, continued1Today Operating System Scheduling Resource Allocation Synchonization Deadlock Memory Management Address Spaces Memory Allocation Strategies Vi
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 6: The Java VM; Code Translation Process; Programming Paradigms1Today Paint Machine Solutions The Java VM Allocating memory for a java program The code translation process Byteco
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 7: Object-Oriented Design1Design Processes What is design? A creative problem solving process Key aspects of design Create use scenarios Consider several options Iterate, itera
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 9: Algorithms and Pseudo-code1The central role of algorithms in computer scienceFrom Brookshear; Copyright 2003 Pearson Education2What is an algorithm? The idea behind the comp
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 11: Analysis of Algorithms, cont.1Function Pecking Order In increasing orderlog(n) 1 2 3 4 5 6 7 8 9 10 n 2 4 8 16 32 64 128 256 512 1024 n^2 4 16 64 256 1024 4096 16384 65536 26214
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 12: Stacks and Queues1Lingering Question Why is the expected value of accessing an array of length n going to take time n/2? The expected value is the number of steps youd expect to
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 13: Queues and Vectors1Queueshttp:/www.lib.uconn.edu/DoddCenter/ASC/Wilcox/Students.htm2Queue Container of objects that are inserted and removed according to the principle of
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLab 7 discussion topics: Casting, File I/O, Enumeration, and StacksJohn Fritch, Kaichi Sung, Leah Zagreus1Type Casting Assigning primitive data when it would result in loss of precision(a)
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 14: Intro to Recursion1RecursionAn algorithmic technique in which a function, in order to accomplish a task, calls itself with some part of the task.2Recursion A method that inv
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 15: Trees1Trees2Trees Trees are very important and useful They are usually drawn upside-down The allow us to represent hierarchy File system Book structure Employees in a bu
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstGuest Lecture: Good Programming PracticesMarat Boshernitsan Computer Science Division, EECS University of California, Berkeley1Whats So Hard About Programming? Knowing where to begin and wh
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 17: Binary Search Trees; Heaps1Our Binary Tree Defined recursively as consisting of Data (in this example: int and String, but can be anything!) A lefthand Binary Tree A righthand
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 18: Hash Tables1Unresolved Question on Heaps Q: What happens if there is more than one item to swap with? A: Swap with the larger one.2Removing the Top of the Heap45 Move the
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 19: B-Trees: Data Structures for Disk1Data Structures & Memory So far weve seen data structures stored in main memory What happens when you have a very large set of data? Too slow
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 20: Sorting1Sortingwww.naturalbrands.com2SortingPutting collections of things in order Numerical order Alphabetical order An order defined by the domain of use E.g. color,
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 21: Sorting, cont.1QuickSort A Divide-and-Conquer recursive algorithm Divide: If only one item in list, return it. Else choose a pivot, and Divide the list into 3 subsets Items
Berkeley - COURSES - 256
Foundations of Software DesignLecture 23: Finite Automata and Context-Free Grammars Marti HearstFall 20021Outline Finite State Automata Why regular expressions are not enough Context Free Grammars Next Time: Relationship to Programming Lang
Berkeley - IS - 255
Foundations of Software DesignLecture 23: Finite Automata and Context-Free Grammars Marti HearstFall 20021Outline Finite State Automata Why regular expressions are not enough Context Free Grammars Next Time: Relationship to Programming Lang
Berkeley - IS - 255
Foundations of Software DesignLecture 24: Compilers, Lexers, and Parsers; Intro to Graphs Marti HearstFall 20021How Do Computers Work (Revisited)?Programming Languages Compiler CPUAddress Space Code vs. DataAssembly Language Machine Instruc
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 25: Graph Traversal, DAGs, and Weighted Graphs1Graph Traversal2Slide adapted from Goodrich & Tamassia3Exploring a Labyrinth Without Getting Lost A depth-first search in an un
Berkeley - IS - 255
Foundations of Software DesignLecture 26: Text Processing, Tries, and Dynamic Programming Marti Hearst & Fredrik WallenbergFall 20021Problem: String Search Determine if, and where, a substring occurs within a string2Approaches/Algorithms:
Berkeley - IS - 255
Foundations of Software DesignLecture 27: Java Database Programming Marti HearstFall 20021Accessing DBMSs DBMS: DataBase Management System SQL: standard query language Typed at command line Forms-based interfaces Direct-manipulation interf
Berkeley - IS - 255
SIMS 255 Foundations of Software Design Complexity and NP-completenessMatt Welsh November 29, 2001mdw@cs.berkeley.edu1OutlineComplexity of algorithms Space and time complexity `Big O' notation Complexity hierarchies and algorithm examples
Berkeley - IS - 255
Foundations of Software DesignFall 2002 Marti HearstLecture 29: Computability, Turing Machines, Can Computers Think?1Computability Is there anything a computer cannot compute? Linked to the notion of what is an algorithm.2Alan Turing An
Berkeley - ECON - 242
Nonlinear IV Panel Unit Root TestsYoosoon Chang1 Department of Economics Rice UniversityAbstractThis paper presents the nonlinear IV methodology as an eective inferential basis for nonstationary panels. The nonlinear IV method resolves the infere
Berkeley - ECON - 242
Nonparametric Demand Systems and a Heterogeneous PopulationStefan Hoderlein Mannheim University September 2003 - Very Preliminary Abstract This paper is concerned with the econometric modelling of the demand behavior of a population with heterogeneo
Berkeley - ECON - 242
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Berkeley - ECON - 242
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Berkeley - ECON - 242
Estimating Default Correlations from Short Panels of Credit Rating Performance Data1Michael Gordy Erik HeiteldJanuary 29, 2002opinions expressed here are those of the authors, and do not reect the views of the Board of Governors or its sta. Mich
Berkeley - USERS - 05
An Empirical Examination of Corporate Tax NoncomplianceMichelle Hanlon University of Michigan Lillian Mills University of Arizona Joel Slemrod University of MichiganJune 24, 2005 Revised draftThis paper was prepared for the conference on Taxing
Berkeley - USERS - 05
The Changing Role of Auditors in Corporate Tax PlanningEdward L. Maydew University of North Carolina Douglas A. Shackelford University of North Carolina and NBERJune 2005Abstract This paper examines changes in the role that auditors play in cor
Berkeley - USERS - 05
Corporate Taxation and International CompetitionbyJames R. Hines Jr. University of Michigan and NBERJuly 2005I thank Justin Garosi and Claudia Martnez for excellent research assistance, and Jack Mintz and Jay Wilson for very helpful comments
Berkeley - USERS - 05
How Elastic is the Corporate Income Tax Base?Jonathan Gruber, MIT and NBER Joshua Rauh, University of Chicago and NBER June 2005Presented at Taxing Corporate Income in the 21st Century, May 5-6, 2005. We are grateful to Matt Levy for research assi
Berkeley - USERS - 05
On The Extent, Growth, and Efficiency Consequences of State Business Tax PlanningDonald Bruce,1 John Deskins,2 and William F. Fox11University of Tennessee and 2Creighton University June 2005ABSTRACT: Our focus in this essay is on the extent to
Berkeley - USERS - 05
Taxation and the Evolution of Aggregate Corporate Ownership ConcentrationMihir A. Desai Harvard University and NBER mdesai@hbs.edu Dhammika Dharmapala University of Connecticut dhammika.dharmapala@uconn.edu Winnie Fung Harvard University fung@fas.ha
Berkeley - USERS - 05
The 2003 Dividend Tax Cuts and the Value of the Firm:An Event StudyAlan J. Auerbach University of California, Berkeley and NBER Kevin A. Hassett American Enterprise Institute June 2005This paper was presented at the OTPR/Burch Center conference,
Berkeley - USERS - 05
Dissecting Dividend Decisions:Some Clues About the Eects of Dividend Taxation from Recent UK ReformsStephen R Bond Institute for Fiscal Studies and Nu eld College, Oxford Michael P Devereux University of Warwick and Institute for Fiscal Studies Ale
Berkeley - ECON - 222
Bargains-then-ripoffs: Innovation, pricing and lock-in in enterprise softwareIan Larkin Harvard Business School ilarkin@hbs.eduAbstractIn industries with quick innovation cycles and switching costs, vendor profitability is often driven by the ab
Berkeley - ECON - 222
STRUCTURAL HOLES, TECHNOLOGICAL RESOURCES, AND INNOVATION: A LONGITUDINAL STUDY OF AN INTERFIRM R&D NETWORKHANS T. W. FRANKORTUniversity of Maastricht Faculty of Economics and Business Administration METEOR / Department of Organization & Strategy
Berkeley - ECON - 222
Optimal Sharing Strategies in Dynamic Games of Research and Development1Nisvan Erkal2 and Deborah Minehart3 First version: January 2005 This version: September 2007The views expressed do not purport to represent the views of the United States Depa
Berkeley - ECON - 222
Organizing and Leading R&D Teams and the Effects on Firm PerformanceAnne H. KochThe need for an effective and rapid product development process for a firm seeking to achieve a competitive advantage has been recognized. In particular, previous lit
Berkeley - ECON - 222
Political influence through the veil of peer review: evidence from biomedical research fundingVersion dated: July 09, 2007 Preliminary & incomplete Please DO NOT cite or quote without the authors written consent Deepak Hegde Walter A. Haas School of
Berkeley - USERS - 04
Basic Welfare Economics and Optimal Tax TheoryThere are two criteria by which economists measure the outcomes of tax policy: 1. E ciency, which is traditionally the purview of economics, and does not involve ethical and normative judgments. E ciency
Berkeley - USERS - 04
Optimal ProgressivityTo this point, we have assumed that all individuals are the same. To consider the distributional impact of the tax system, we will have to alter that assumption. We have seen that dierential lump sum transfers can move the econo
Berkeley - USERS - 04
Incidence and DistributionTheory of Tax Incidence There are four principles in the analysis of tax incidence: 1. The entire burden of a tax must be traced to individuals. Businesses may remit taxes, but only individuals shareholders, employees, cust
Berkeley - USERS - 04
Corporate Income TaxationWe have stressed that tax incidence must be traced to people, since corporations cannot bear the burden of a tax. Why then tax corporations at all? There are several possible justications. First, there are valuable benets, s
Berkeley - USERS - 04
Statistical Evidence and InferenceBasic Methods of Analysis Understanding the methods used by economists requires some basic terminology regarding the distribution of random variables. The mean of a distribution is simply the arithmetic average of a
Berkeley - E - 208
Collateralized Asset MarketsJohn GeanakoplosYale UniversityWilliam R. ZameUniversity of California, Los Angeles Abstract Much of the lending in modern economies, including residential and commercial mortgages and corporate bonds, is secured by s
Berkeley - E - 208
Money Matters An Axiomatic Exploration of the Endowment Eect and the Preference Reversal PhenomenonRaphal Giraud e CRESE-University de Franche-Comt e First version: January 2007 This version: May 200711.11.1.1IntroductionMotivation and Aims o
Berkeley - E - 208
Repeated Games and Limited Information Processing Preliminary and IncompleteOlivier compte PSE, Paris Andrew Postlewaite University of Pennsylvania July, 2007Abstract Many important strategic problems are characterized by repeated interactions amo
Berkeley - E - 208
Foundations for Bayesian Updating Eran Shmaya Leeat YarivyzCurrent Version: September 21, 2007Abstract.We provide a simple characterization of updating rules that canbe rationalized as Bayesian. Namely, we consider a general setting in which
Berkeley - E - 208
Networks emerging in a volatile worldGeorge Ehrhardt The International Centre for Theoretical Physics, Trieste Matteo Marsili The International Centre for Theoretical Physics, Trieste Fernando Vega-Redondo European University Institute, Florence Fir
Berkeley - E - 208
Intertemporal Risk Aversion, Stationarity and DiscountingJobmarket Paper, October 2007 Christian P. TRAEGER Department of Agricultural & Resource Economics, UC Berkeley Department of Economics, UC Berkeley Abstract: The paper develops an axiomatic f
Berkeley - E - 208
Wouldnt it be Nice to Tell Whether Robinson is Risk Averse?September 2007 Christian P. TRAEGER Department of Agricultural & Resource Economics, UC Berkeley Department of Economcis, UC BerkeleyAbstract: The paper introduces a new notion of risk ave