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602exam

Course: WWW-PERSON 602, Fall 2008
School: Michigan
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2000 Lones Fall Smith Decision Theory and Game Theory 602 Final Exam There are 125 points in three hours. Points are indicated in the margins, and 48 underlined points are easier to get. (This would be enough to pass). Aim for quality answers rather than quantity answers, if you think youre guessing. Prove that you understand whats going on, but be brief. Mathematics alone, if wrong, counts for little, as we...

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2000 Lones Fall Smith Decision Theory and Game Theory 602 Final Exam There are 125 points in three hours. Points are indicated in the margins, and 48 underlined points are easier to get. (This would be enough to pass). Aim for quality answers rather than quantity answers, if you think youre guessing. Prove that you understand whats going on, but be brief. Mathematics alone, if wrong, counts for little, as we cannot read your mind. What is a magician but a practising theorist? Obi-Wan Kenobi 1. Consider the standard graphical probability simplex over prizes $1, $2, $4. (a) Precisely illustrate the lottery that gives $1 and $2 with weight 1/4, and $4 with weight 1/2 (i.e. show how it is found geometrically). [2] (b) Carefully and precisely illustrate the indierence curves corresponding to: lottery p is preferred to q i p has a higher mean than q. [3] 2. Consider the Battle of the Sexes where both players have the same strictly increasing vNM utility function u. Football Opera Football u(3),u(1) u(0),u(0) Opera u(0),u(0) u(1),u(3) (a) Compute the mixed strategy equilibria with u(x) = ax + b, for a > 0. [3] (b) Now assume strict risk aversion. Determine whether the mixing chance on ones preferred action in this equilibrium rises or falls. [Hint: Use a ranking theorem.] [12] 3. Give two extensive form representations of this Prisoners Dilemma. C C 3,3 D 4,0 D 0,4 1,1 [5] 4. Colonels Blotto and Otto are getting ready to do battle. Blotto will attack Otto at one of two possible battle sites S and T . Blotto has two indivisible troop regiments, and Otto has just one. The colonels play a zero-sum game. If Otto has k {0, 1} regiments at a site, and Blotto has more, then Blotto receives a payo of k + 1. If Blotto has no regiments at a site, and Otto has one, then Blotto receives a payo of 1. If Blotto and Otto have the same number of regiments at a site, both receive a payo of 0. Both are proud soldiers retreat is never an option for them; they must use all their regiments. (a) Represent this game as a normal form. (b) Find all Nash equilibria. (Can Blotto play a pure strategy?) [2] [8] 1 5. Consider the following two player game of incomplete information played by friends A and B on the telephone who live twenty miles away from each other. The radio correctly predicts that it will rain on at least one house. It will either rain on both houses (chance 1/3), on just As house (chance 1/3), or just Bs house (chance 1/3). Each player observes the weather outside his door (rainy or dry), but has no other information about his neighbours weather. They then play the game of chicken below. Chicken Tough Chicken 5,5 2,6 Tough 6,2 1,1 (a) Prove: It is a Bayes-Nash equilibrium for each player to play chicken when it rains, and play tough otherwise. [13] (b) Show that this expected payo has a greater payo sum than the best Nash payo. [2] 6. The payos in the Battle of Sexes are (0, 0) if husband and wife choose dierent activities (football and opera), while if they agree on an activity, then the (husband, wife) payos are (3, 1) for football, and (1, 3) for opera. Assume that the husband spies the on wifes decision, discovering her chosen action before he makes his own action choice, and that this fact is common knowledge among husband and wife. Represent this game in its correct extensive form, and nd all subgame perfect equilibria of this game. (P.S. Whats the lesson here?) [10] 7. The Prisoners Dilemma of question 3 is played repeatedly by dierent players, labeled {1, 2, 3, . . .}. In period k = 1, 2, 3 . . ., the game below is played by players k and k + 1. (The game is symmetric so it doesnt matter who are the row and column players.) The total payo to player k is his period k 1 payo plus delta times his payo in period k. (a) Argue that in any subgame perfect equilibrium, player k must play D in period k. [3] (b) Find the least (0, 1] such that it is a subgame perfect equilibrium for player k = 2, 3, . . . to play C in period k 1. [12] 8. Consider a two period bargaining game. In period 1, A makes an oer (x, 1x), where 0 x 1, and B says yes or no. If yes, the payos are given by As oer. If no, then we go to period 2, where A and B make simultaneous demands on the pie. If A says (x, 1 x) and B says (1 y, y), then the payo vector is (x, y) if x + y 1, and otherwise, it is (0, 0). Payos are not discounted between periods 1 and 2. (a) Represent this game as an extensive form. (b) Find all subgame perfect equilibria. [2] [8] 2 9. Consider a two-player, zero-sum game in which player 1 consists of two people, Peter and Katya. Player two is Lones. Two cards, one king and one deuce, are dealt at random to Peter and Lones (with equal chance). The person with the king receives $1 from the deuce-holder, and then may stop or continue. If the play continues, Katya barges in and takes control, not knowing the outcome of the original deal. (As usual, Peter and Katya do not talk.) She tells Peter and Lones either to exchange cards, or keep them. Again, the holder of the king receives $1 from the holder of the deuce, and the game ends. (a) Represent this game as an extensive form. (b) Represent this game as an normal form, and nd the Nash equilibrium. 10. This question is about venture capital funding. A risk neutral entrepreneur E knows the value V of a potential project. Specically, E learns either V = L or V = H, with H > L. The chance p (0, 1) of V = H is common knowledge. The project needs a seed money investment of I > 0 dollars. A risk-neutral venture capitalist C has the I dollars, and wishes to invest wisely. After learning his type, Es action is the equity stake e [0, 1] to give to C. Then C either declines to fund the project, and earns a return i on his money, or accepts the project. Thus the payos to (E, C) are ((1 e)V, eV I) if C accepts, and if the project pays out V . If C declines, the payos are (0, (1 + i)I). (a) Carefully depict this as an extensive form. [2] [5] [10] (b) Suppose that when C moves, his posterior on V = H is q. What is the condition on q required for him to accept oer e? [3] (c) Assume L I > (1 + i)I. Find all sequential equilibria. Hint: Use a weaker equilibrium concept to help eliminate candidate equilibria. [15] 3
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Michigan - WWW-PERSON - 602
Fall 2000Lones SmithDecision Theory and Game Theory 602 Final ExamThere are 125 points in three hours. Points are indicated in the margins, and 48 underlined points are easier to get. (This would be enough to pass). Aim for quality answers rath
Michigan - WWW-PERSON - 602
University of Michigan PhD Microeconomics Prelim Fall 2000The exam consists of nineteen (possibly compound) assertions that are true or false. Begin each answer by asserting true, false. This alone is completely worthless unless you then briey and c
Michigan - FTP - 617
Lones Smith:Fall (2002)Game Theory (Econ 617)This is an advanced course in game theory. It assumes that your prior knowledge of game theory x and your analytical ability y obey the inequality xy > c, where c > 0 is a constant that I cannot qua
Michigan - FTP - 617
Economics Game Theory 617: Assignment 1Lones Smith due Monday, September 23 by email, 2002Note: All solutions must be emailed to me (lones@umich.edu). The subject header A must be included as 617 asmt. This means they are either typeset in L TEX,
Michigan - FTP - 617
Economics Game Theory 617: Assignment 2Lones Smith due Monday, October 21 by emailNote: All solutions must be emailed to me (lones@umich.edu). The subject header must A be included as 617 asmt. Assignments typeset (in L TEX, Word, etc.) will get a
Michigan - WWW-PERSON - 610
Solving Stochastic Dierential Equations by the Reduction Methodc Lones Smith, 1999 1. Solve dX = ( 1 + X 2 + X/2)dt + 1 + X 2 dW subject to X0 = 0. Solution: Transform Y = g(X) with a monotonic function g to get = dY = gx dX + (1/2)gxx (dX)2 = (
Michigan - WWW-PERSON - 610
Computing the Diusion Process Limit of a Sequence of Suitably Scaled Continuous Time Stochastic Processesby Lones Smith (2001)Question: Let {X N (t)} be a stochastic process with deterministic continuous changes satisfying dX N /dt = X N . There ar
Michigan - WWW-PERSON - 618
Lones SmithEcon 619, Winter (2002):Monotone Comparative StaticsThis half term course studies modern lattice-theoretic methods of supermodularity and comparative statics. We then explore stochastic orders, and extend the monotone comparative s
Michigan - WWW-PERSON - 618
Lones SmithEcon 620, Winter (2002):Advanced Theory: Uncertainty & InfoThis half term course continues 619, applying its methods to the study of decision making under uncertainty and information. To better understand this course and the theory
Michigan - WWW-PERSON - 618
Lones Smithdue Mon., Feb. 5, 2001Econ 618: Assignment 1Note 1: Brevity is appreciated, but be sure not to wave your hands in a proof. Note 2: New questions are from last years nal exam and the past theory prelim. 1. This question tests if you un
Michigan - WWW-PERSON - 618
Lones Smithdue Mon., Feb. 26, 2001Econ 618: Assignment 2Note 1: Brevity is appreciated, but be sure not to wave your hands in a proof. Note 2: Unlike assignment 1, the only non rote question is #5 (a challenge). 1. Prove the following strengthen
Michigan - WWW-PERSON - 618
Lones Smithdue Mon., Mar. 26, 2001Econ 618: Assignment 31. Suppose there is a fair prior on the two states H and L. Let there be two actions A and B. Assume the standard symmetric payos (uH = uL = 1, uH = uL = 1), B A A B so that one takes actio
Michigan - WWW-PERSON - 618
Lones Smithdue Mon., April 9, 2001Econ 618: Assignment 4A1. Assume the informational herding model with two-states and the classical unbounded uniform private beliefs structure in S/S: namely, F H (x) = x2 and F L (x) = 2x x2 . [10 pts] Assume
Michigan - WWW-PERSON - 618
Blackwells Theorem with the Original Wonderful Proofby Lones Smith = {1 , . . . , n }, states of the world X = {x1 , . . . , xN }, experiment/signal outcomes (1 , . . . , n ), probability measures representing an experiment, represented by the M
Michigan - WWW-PERSON - 610
The Dynkin Martingale for General Markov Processesby Lones SmithGiven is a Markov process {xn }, where xn xn+1 . Step 1: Constructing Dynkins martingale for any markov process. Let u be an arbitrary real function dened on the same range as the Mar
Michigan - WWW-PERSON - 618
Winter 2001Lones SmithAdvanced Theory 618 Final ExamThis take-home exam consists of 100 points (plus 20 bonus) due Monday 12pm in my oce. To put you at ease, you start with 30 free points. Get lots of sleep! Take it easy. Try to impress both me
Michigan - WWW-PERSON - 618
University of Michigan Economic Theory Prelim September 2000Answer all questions; part A in one book, and part B in another. While questions have equal weight, passing requires demonstrating command of both parts. Cite any and all relevant theorems.
Michigan - R - 1454
Registration Form for the Mail Relay ServiceU-M Information Technology Central Services1 of 2 R1454 March 20071.List the static U-M IP address(es) from which mail will be sent (IP addresses obtained through DHCP will not work with the service
Michigan - ENGR - 3958
DESIGN FOR SIX SIGMA (DFSS)On Location Green Belt CertificationThis course provides quality analysis skills to systematically improve new products and services as well as continuously improve existing key design business processes. It is built arou
Michigan - ENGR - 3958
LEAN SIX SIGMA GRADUATE CERTIFICATEThe Certicate in Lean and Six Sigma at the Black Belt skill level is a unique educational program combining two contemporary disciplines into one curriculum.Online or On CampusLean production is a necessary str
Michigan - ENGR - 3958
SIX SIGMA CERTIFICATIONChoose from Online or Classroom OptionsTransactional Service/Operations Green Belt and Black Belt Online Manufacturing Green Belt and Black Belt Online Academic Manufacturing Black Belt On Campus Design for Six Sigma Green Be
Michigan - ESL - 2
Answer KeyUnit 1: Business (pages xvi25)Preview 1 (page 1)1. converted 2. Research 3. adapt 4. distributed 5. assembledExercise 1: Prexes (page 15)1. c 2. e 3. b 4. a 5. dPreview 2 (page 2)1. c 2. d 3. a 4. e 5. bExercise 2: Roots (page 15
Michigan - ESL - 1
Answer KeyUnit 1: Professional Cycling (pages 121)Preview 1 (page 2)1. survive 2. percent 3. participate 4. physically 5. individualReading Preview: What Do You Know? (page 3)1. b 2. c 3. bPreview 2 (pages 23)1. e 2. d 3. b 4. c 5. aCompre
Michigan - LIB - 2
CENSUS TOOLKITThe University of Michigan LibraryAdapted for the University of Michigan Documents Center from the Census Toolbox of the American Library Associations Government Information Technology Committee http:/www.ala.org/ala/godort/godortco
Michigan - PS - 498
472NOT05.txtSeptember 8, 1996GAME THEORY: viewed bargaining as strategic interaction between rational actors who seek to make static choices. Single plays of a Prisoner Dilemma and Chicken game emphasize static choice. Classical game theory treat
Michigan - PS - 498
472NOT09.txt Prisoners Dilemma & ChickenSeptember 8, 1996PRISONERS DILEMMA: game of conflict in which reward for unilateral non-cooperation exceeds both benefit for mutual cooperation AND cost of mutual conflict. Penalty for mutual non-cooperatio
Michigan - PS - 498
472NOT02.DOCSeptember 8, 19961. What is the difference between making someone give something to you and taking it? 2. Do threats work on capabilities or on motivations and intentions? 3. What is the difference between brute force and coercion? 4.
Michigan - PS - 498
472NOT6.DOC DETERRENCE AND COERCIONSeptember 8. 1996Deterrence is a process where a defender seeks to get a potential initiator not to take an action. Coercion seeks to get a defender either to take an action or to undo prior actions. Regarding t
Michigan - PS - 498
472NOT10.DOC Decision Theory Individual Choice Interdependent Choices Constrained RationalitySeptember 8, 1996Bargaining Theory: Search, Persuasion, Strategy Individual Choice Decision Analysis Tree Interdependent Choices: Snyder, Axelrod Game Th
Michigan - PS - 498
472NOT14.DOC Fourth Wave Critique Of Deterrence TheorySeptember 8, 1996Deterrence May Be Appropriate If Challenger Motivated By Opportunity Than By Need. Reassurance Takes Into Account Adversarys Acute Sense Of Vulnerability. Need Focuses On Into
Michigan - LIB - 2
Appendix B. Definitions of Subject CharacteristicsCONTENTS POPULATION CHARACTERISTICS Ability to Speak English (See Language Spoken at Home and Ability to Speak English) . . . . . . Adopted son/daughter (See Household Type and Relationship) . . . .
Michigan - LIB - 3
Appendix B. Definitions of Subject CharacteristicsCONTENTS POPULATION CHARACTERISTICS Ability to Speak English (See Language Spoken at Home and Ability to Speak English) . . . . . . Adopted son/daughter (See Household Type and Relationship) . . . .
Michigan - LIB - 2
Appendix D. QuestionnaireU.S. Department of Commerce Bureau of the CensusDCThis is the official form for all the people at this address. It is quick and easy, and your answers are protected by law. Complete the Census and help your community get
Michigan - LIB - 3
Appendix D. QuestionnaireU.S. Department of Commerce Bureau of the CensusDCThis is the official form for all the people at this address. It is quick and easy, and your answers are protected by law. Complete the Census and help your community get
Michigan - LIB - 2
PRELIMINARY COPYSummary File 32000 Census of Population and HousingTechnical Documentation2000Issued June 2002 SF3/01U.S. Department of CommerceEconomics and Statistics AdministrationU.S. CENSUS BUREAUFor additional information concernin
Michigan - LIB - 3
PRELIMINARY COPYSummary File 32000 Census of Population and HousingTechnical Documentation2000Issued June 2002 SF3/01U.S. Department of CommerceEconomics and Statistics AdministrationU.S. CENSUS BUREAUFor additional information concernin
Michigan - LIB - 2
Chapter 2. How to Use This FileINTRODUCTION This chapter serves as a guide for data users to both the file and the technical documentation. Novice users trying to understand how to use the documentation and the file should read this chapter first. P
Michigan - LIB - 3
Chapter 2. How to Use This FileINTRODUCTION This chapter serves as a guide for data users to both the file and the technical documentation. Novice users trying to understand how to use the documentation and the file should read this chapter first. P
Michigan - LIB - 2
Chapter 3. Subject LocatorCONTENTS General Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Subject Locator . . . . . . . . . . . .
Michigan - LIB - 3
Chapter 3. Subject LocatorCONTENTS General Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Subject Locator . . . . . . . . . . . .
Michigan - LIB - 2
Chapter 4. Summary Level Sequence ChartSummary levels specify the content and the hierarchical relationships of the geographic elements that are required to tabulate and summarize data. In the Summary Level Sequence Chart which follows, the summary
Michigan - LIB - 3
Chapter 4. Summary Level Sequence ChartSummary levels specify the content and the hierarchical relationships of the geographic elements that are required to tabulate and summarize data. In the Summary Level Sequence Chart which follows, the summary
Michigan - LIB - 2
Chapter 5. List of Tables (Matrices)Table (matrix) Title Total number of data cellsPopulation Subjects Summarized to Block Group Level Basic Population Totals P1. P2. P3. P4. P5. P6. P7. P8. TOTAL POPULATION Universe: Total population . . . . . .
Michigan - LIB - 3
Chapter 5. List of Tables (Matrices)Table (matrix) Title Total number of data cellsPopulation Subjects Summarized to Block Group Level Basic Population Totals P1. P2. P3. P4. P5. P6. P7. P8. TOTAL POPULATION Universe: Total population . . . . . .
Michigan - LIB - 2
Chapter 6. Summary Table OutlinesPopulation Subjects (Summarized to Block Group Level) P1. TOTAL POPULATION [1] Universe: Total population Total P2. UNWEIGHTED SAMPLE COUNT OF THE POPULATION [1] Universe: Total population Total P3. 100-PERCENT COUNT
Michigan - LIB - 3
Chapter 6. Summary Table OutlinesPopulation Subjects (Summarized to Block Group Level) P1. TOTAL POPULATION [1] Universe: Total population Total P2. UNWEIGHTED SAMPLE COUNT OF THE POPULATION [1] Universe: Total population Total P3. 100-PERCENT COUNT
Michigan - LIB - 3
Chapter 7. Data DictionaryCONTENTS Identification Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Record Codes. . . . . . . . . . . . . .
Michigan - LIB - 2
Chapter 7. Data DictionaryCONTENTS Identification Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Record Codes. . . . . . . . . . . . . .
Michigan - LIB - 3
Chapter 7. Data DictionaryCONTENTS Identification Section . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Record Codes. . . . . . . . . . . . . .
Michigan - LIB - 2
TABLE (MATRIX) SECTION The files for Summary File 3 are provided as a set for each state. The set is comprised of the geographic header file and 76 data files. The layout for the 76 data files is presented below. These 76 table files are comma delimi
Michigan - LIB - 3
TABLE (MATRIX) SECTION The files for Summary File 3 are provided as a set for each state. The set is comprised of the geographic header file and 76 data files. The layout for the 76 data files is presented below. These 76 table files are comma delimi
Michigan - LIB - 2
Table numberTable contentsData dictionary reference nameSegmentMax sizeFile 19File Linking Fields (comma delimited)Field name Data dictionary reference name FILEID STUSAB CHARITER CIFSN LOGRECNOMax size 6 2 3 2 7Data type A/N A A/N A
Michigan - LIB - 3
Table numberTable contentsData dictionary reference nameSegmentMax sizeFile 19File Linking Fields (comma delimited)Field name Data dictionary reference name FILEID STUSAB CHARITER CIFSN LOGRECNOMax size 6 2 3 2 7Data type A/N A A/N A
Michigan - LIB - 3
Table numberTable contentsData dictionary reference nameSegmentMax sizeFile 56File Linking Fields (comma delimited)Field name Data dictionary reference name FILEID STUSAB CHARITER CIFSN LOGRECNOMax size 6 2 3 2 7Data type A/N A A/N A
Michigan - LIB - 2
Chapter 8. Accuracy of the DataINTRODUCTION The data contained in this product are based on the Census 2000 sample. The data are estimates of the actual figures that would have been obtained from a complete count. Estimates derived from a sample are
Michigan - LIB - 3
Chapter 8. Accuracy of the DataINTRODUCTION The data contained in this product are based on the Census 2000 sample. The data are estimates of the actual figures that would have been obtained from a complete count. Estimates derived from a sample are
Michigan - LIB - 2
Chapter 9. User UpdatesUser updates supply data users with additional or corrected information that becomes available after the technical documentation or files are prepared. They are issued as Count Question Resolution Notes, Data Notes, Geography
Michigan - LIB - 3
Chapter 9. User UpdatesUser updates supply data users with additional or corrected information that becomes available after the technical documentation or files are prepared. They are issued as Count Question Resolution Notes, Data Notes, Geography
Michigan - LIB - 2
Appendix A. Census 2000 Geographic Terms and ConceptsCONTENTS Page Alaska Native Regional Corporation (ANRC) (See American Indian Area, Alaska Native Area, Hawaiian Home Land) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Michigan - LIB - 3
Appendix A. Census 2000 Geographic Terms and ConceptsCONTENTS Page Alaska Native Regional Corporation (ANRC) (See American Indian Area, Alaska Native Area, Hawaiian Home Land) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Michigan - LIB - 2
Appendix C. Data Collection and Processing ProceduresCONTENTS Enumeration and Residence Rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . United States . . . . . . . . .