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Franklin University - ACCOUNTING - 341
1.) SEC charges former CEOs of Fannie Mae, Freddie Mac with fraud; Fannie Mae and FreddieMac executives told the world that their subprime exposure was substantially smaller than itreally was," said Robert Khuzami, SEC's enforcement director. "These mat
Franklin University - ACCOUNTING - 341
ACCT341-E1WWFebruary 1, 2102Week Five Discussion QuestionsAssignment 5-3Chapters 11 & 1211-2.There are three main groups of people who commit financial statement fraud. Whoare they?- Senior management: The SEC named the CEO and/or the CFO for invol
Franklin University - ACCOUNTING - 341
ACCT341February 6, 2012Week 6 Discussion IssuesAssignment 6-2Chapter 1313-1. How is fraud risk influenced by a companys internal control? How is fraud riskinfluenced by a companys ethics, values, and expectations?A good system of internal controls,
Franklin University - ACCOUNTING - 341
Theorist Paper: Donald CresseyMichael CapoteCCJ 5606Dr. Cecil GreekSchool of Criminology and Criminal JusticeFlorida State UniversityHecht House 634 West Call StreetTallahassee, FL 32306-1127850-644-4050 (Phone)850-644-9614 (Fax)Draft #1: March
Franklin University - ACCOUNTING - 341
EXAM 1 NOTES:The test is 60 minutes, no notes or book. There are 8 T/F questions and 19 multiplechoice questions, for a total of 27 questions.In preparation of the exam, the following is a brief guide to help you:1. Know the definition of predication.
UNSW - ECON - 2206
Take a moment of Reflexion.A. Which of the following is NOT true?1.the point Xbar, Ybar always lies on the regression line2.the sum of the residuals is always zerosum of the residuals is always zero3.the mean of the fitted values of Y is the same
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Week1INTRODUCTIONChapter1Wooldridgeie_Slides01R. Ouysse, School of Economics,UNSW11. Introduction1. Introduction What is econometrics? It covers the statistical methods useful forestimating economic r
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides02Lecturer:RachidaOuysseie_Slides02R. Ouysse, School of Economics,UNSW12. Simple Regression Model (Ch2)2. Simple Regression Model Lecture planMotivation and definitionsand definitionsZCM assumpt
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides03_continuedMulticollinearity andMisspecificationLecturer:RachidaOuysseie_Slides03_2R. Ouysse, School of Economics,UNSW13. Multiple Regression Model: Estimation (Ch3) Irrelevant explanatory variabl
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides04LecturerRachida Ouysseie_Slides04RO, School of Economics, UNSW14. Multiple Regression Model: Inference (Ch4)4. Multiple Regression Model: Inference Lecture planClassical linear model assumptions
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides05Lecturer:RachidaOuysseie_Slides05RO, School of Economics, UNSW15. Multiple Regression Model: Asymptotics (Ch5)5. Multiple Regression Model: Asymptotics Lecture plan Why large-sample properties (a
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209ie_Slides07RachidaOuysseie_Slides07School of Economics, UNSW17. Multiple Regression Model: Qualitative Variables (Ch7)7. Multiple Regression Model: Binary Variables Lecture planQualitative information an
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides08RachidaOuysseie_Slides08School of Economics, UNSW18. Heteroskedasticity (Ch8)8. Heteroskedasticity Lecture plan Consequences of heteroskedasticity for OLSof heteroskedasticityOLSestimation He
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides09RachidaOuysseie_Slides09School of Economics, UNSW19. Specification and Data Issues (Ch9)9. Specification and Data Issues Lecture planMLR1-5 may not hold in reality.We analyse the consequences of
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides10RachidaOuysseie_Slides10School of Economics, UNSW110. Regression Analysis with Time Series Data (Ch10)10. Regression with Time Series Data Lecture planHaving built a foundation for regression ana
UNSW - ECON - 2206
Introductory EconometricsECON2206/ECON3209Slides03Lecturer:RachidaOuysseie_Slides03R. Ouysse, School of Economics,UNSW13. Multiple Regression Model: Estimation (Ch3)3. Multiple Regression Model: Estimation Lecture plan (largely parallel to Ch2)
UNSW - ECON - 2206
ECON2206/ECON3290: Week 12OverviewDr. Rachida OuysseSchool of EconomicsUNSWECON2206/ECON3290Overview of this course materialWe discussed estimation issues under a set of model assumptions.The benchmark model: linear regression under Gauss Markov a
UNSW - ECON - 2206
SchoolofEconomicsIntroductoryEconometricsECON2206/ECON3290TutorialProgramSession2,20111Week2TutorialExercisesReadingsReadChapter1thoroughly.MakesurethatyouknowthemeaningsoftheKeyTermsatthechapterend.ProblemSet(thesewillbediscussedintutorialclas
UNSW - ECON - 2206
Week2TutorialExercisesProblemSetQ1.Wooldridge1.1(i)Ideally,wecouldrandomlyassignstudentstoclassesofdifferentsizes.Thatis,eachstudentisassignedadifferentclasssizewithoutregardtoanystudentcharacteristicssuchasabilityandfamilybackground.Forreasonswewill
UNSW - ECON - 2206
Week3TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)TheminimumrequirementforOLStobecarriedoutforthedatasetcfw_(xi,yi),i=1,nwiththesamplesizen>2isthatthesamplevarianceofxispositive.Inwhatcircumstancesisthesamplevarianceof
UNSW - ECON - 2206
Week4TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)Whatdowemeanwhenwesayregresswageoneducandexpr?UseOLStoestimatethemultiplelinearregressionmodel:wage=0+1educ+2expr+u.Whyandunderwhatcircumstancedoweneedtocontrolforexpri
UNSW - ECON - 2206
Week5TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)WhataretheCLMassumptions?TheseareMLR1,MLR2,MLR3andMLR6.MLR6isaverystrongassumptionthatimpliesbothMLR4andMLR5.WhatisthesamplingdistributionoftheOLSestimatorsundertheCLM
UNSW - ECON - 2206
Week6TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)Howwouldyoutesthypothesesaboutasinglelinearcombinationofparameters?Wemayreparameterisetheregressionmodeltoisolatethesinglelinearcombination.ThentheOLSonthereparameteris
UNSW - ECON - 2206
Week7TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)Whataretheadvantagesofusingthelogofavariableinregression?Findtherulesofthumbfortakinglogs.Seepage191ofWooldridge(p198199forthe3rdedition)Becarefulwhenyouinterprettheco
UNSW - ECON - 2206
Week8TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)Whatisaqualitativefactor?Givesomeexamples.Thisshouldbeeasy.Howdoyouusedummyvariablestorepresentqualitativefactors?Afactorwithtwolevels(orvalues)iseasilyrepresentedoned
UNSW - ECON - 2206
Week9TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)Whatisheteroskedasticityinaregressionmodel?Whenhomoskedasticity(MLR5)failsandthevarianceofthedisturbance(u)changesacrossobservationindex(i),wesaythatheteroskedasticityi
UNSW - ECON - 2206
Week10TutorialExercisesReadingsReadChapter9thoroughly.MakesurethatyouknowthemeaningsoftheKeyTermsatthechapterend.ReviewQuestions(thesemayormaynotbediscussedintutorialclasses)Whatisfunctionalformmisspecification?Whatisitsmajorconsequenceinregressionan
UNSW - ECON - 2206
Week11TutorialExercisesReviewQuestions(thesemayormaynotbediscussedintutorialclasses)Whatarethemainfeaturesoftimeseriesdata?Howdotimeseriesdatadifferfromcrosssectionaldata?Themainfeaturesincludethefollowing.First,timeseriesdatahaveatemporalordering,whi
UNSW - ECON - ECON2101
12/10/2011Monopolyandown-price elasticity of demand curves. To understand why a monopoly always selects anoutput level for which market demand is ownprice elastic, one first needs to understand howthe own-price elasticity varies along a demandcurve
UNSW - ECON - ECON2101
ECON2101: Microeconomics 2 Prerequisites: You must have passed Micro 1 QMA or equivalent is strongly recommendedECON2101: Microeconomics 2Session 2, 2011 Make sure that you have access to thecourse on BlackboardLecturer: Paul Pezanis-ChristouTuto
UNSW - ECON - ECON2101
7/27/2010Preferences and UtilityChapter 3: preferencesChapter 4: utilityPreferences We want to find patterns/regularities in thebehaviour of decision-makers. This requires that there is some regularityor predictability in their behaviour. For con
UNSW - ECON - ECON2101
Rational Choice The principal behavioral postulate isthat a decisionmaker chooses itsmost preferred alternative from thoseavailable to it.ChoiceCh 5: ChoiceCh 6: Demand (sec. 2,5,6,8 & appendix)Ch 15: Market Demand (sec. 1& 2) In terms of our mod
UNSW - ECON - ECON2101
Consumer SurplusChapter 14
UNSW - ECON - ECON2101
Consumers Surplus A consumers demand curve for a good(say good 1) tells us that, at any givenprice p1, the consumer is willing to buysome determinate quantity x1 of the good. When the consumer does so, he ispresumably better off than he was when he
UNSW - ECON - ECON2101
Thinking about uncertainty An individual makes a choice beforeknowing the state of the world in whichthe outcome will occur. The state of the world will determine thepayoff from the act. Example:Choice under uncertaintyChapter 12 choicetake my um
UNSW - ECON - ECON2101
8/24/2010Information in CompetitiveMarketsAsymmetric Information In purely competitive markets all agentsare fully informed about tradedcommodities and other aspects of themarket. What about markets for medical services,or insurance, or used cars
UNSW - ECON - ECON2101
4/18/2011TechnologyTechnologyChapter 18Production functionsIsoquantsMarginal ProductReturns to scaleTechnical rate of substitutionLong run vs Short run1Technology A technology decribes how inputs are convertedto some output Lecture is being
UNSW - ECON - ECON2101
9/16/2011Cost MinimizationCost minimisation& cost curvesChapters 20 and 21A firm is a cost-minimiser if it produces any givenoutput level y 0 at smallest possible total cost.c(y) denotes the firms smallest possible totalcost for producing y units
UNSW - ECON - ECON2101
26/09/2011Firm SupplyFirm Supply& Industry SupplyChapters 22 and 23Q: How does a firm decide how much product tosupply?A: This depends upon the firms technology (production function) market environment (prices) competitors behaviors ( competitio
UNSW - ECON - ECON2101
4/10/2011Pure MonopolyMonopolyA monopolized market has a single seller.The monopolists demand curve is the(downward sloping) market demand curve.So the monopolist can alter the market price byadjusting its output level.Chapter 24 (Sections 1 to 5)
UNSW - ECON - ECON2101
OligopolyFinally the last week! A monopoly is an industry consisting asingle firm. A duopoly is an industry consisting of twofirms. An oligopoly is an industry consisting of afew firms. Particularly, each firms ownprice or output decisions affect
UNSW - ECON - ECON2101
Chapter 37NAMEAsymmetric InformationIntroduction. The economics of information and incentives is a relatively new branch of microeconomics, in which much intriguing work isgoing on. This chapter shows you a sample of these problems and theway that ec
UNSW - ECON - ECON2101
Chapter 2NAMEBudget ConstraintIntroduction. These workouts are designed to build your skills in describing economic situations with graphs and algebra. Budget sets are agood place to start, because both the algebra and the graphing are veryeasy. Wher
UNSW - ECON - ECON2101
Chapter 3NAMEPreferencesIntroduction. In the previous section you learned how to use graphs toshow the set of commodity bundles that a consumer can aord. In thissection, you learn to put information about the consumers preferences onthe same kind of
UNSW - ECON - ECON2101
Chapter 5NAMEChoiceIntroduction. You have studied budgets, and you have studied prefer-ences. Now is the time to put these two ideas together and do somethingwith them. In this chapter you study the commodity bundle chosen by autility-maximizing con
UNSW - ECON - ECON2101
Chapter 12NAMEUncertaintyIntroduction. In Chapter 11, you learned some tricks that allow you touse techniques you already know for studying intertemporal choice. Hereyou will learn some similar tricks, so that you can use the same methodsto study ri
UNSW - ECON - ECON2101
Chapter 14NAMEConsumers SurplusIntroduction. In this chapter you will study ways to measure a con-sumers valuation of a good given the consumers demand curve for it.The basic logic is as follows: The height of the demand curve measureshow much the c
UNSW - ECON - ECON2101
Chapter 16NAMEEquilibriumIntroduction. Supply and demand problems are bread and butter foreconomists. In the problems below, you will typically want to solve forequilibrium prices and quantities by writing an equation that sets supplyequal to demand
UNSW - ECON - ECON2101
Chapter 18NAMETechnologyIntroduction. In this chapter you work with production functions, re-lating output of a rm to the inputs it uses. This theory will look familiarto you, because it closely parallels the theory of utility functions. In utilityt
UNSW - ECON - ECON2101
Chapter 20NAMECost MinimizationIntroduction. In the chapter on consumer choice, you studied a con-sumer who tries to maximize his utility subject to the constraint that hehas a xed amount of money to spend. In this chapter you study thebehavior of a
UNSW - ECON - ECON2101
Chapter 24NAMEMonopolyIntroduction. The prot-maximizing output of a monopolist is found bysolving for the output at which marginal revenue is equal to marginal cost.Having solved for this output, you nd the monopolists price by pluggingthe prot-maxi
UNSW - ECON - ECON2101
Chapter 27NAMEOligopolyIntroduction. In this chapter you will solve problems for rm and indus-try outcomes when the rms engage in Cournot competition, Stackelbergcompetition, and other sorts of oligopoly behavior. In Cournot competition, each rm choo
Uni. Westminster - BUSINESS - 203
CHAPTER 5STRATEGIC MANAGEMENT IN THE MULTINATIONALCOMPANY: CONTENT AND FORMULATIONLearning ObjectivesDefine the generic strategies of differentiation and low costUnderstand how low-cost and differentiation strategists make moneyRecall multinational
Berkeley - COMPSCI - 70
CS 70Discrete Mathematics and Probability TheoryFall 2011RaoRough Outline Lecture 1The reader shold be aware that thes notes have been subject to minimal if any editing and should notbe distributed.This course is about formal analysis in the contex
Berkeley - COMPSCI - 70
Midterm 1 is early.Before drop date.Before most other midterms in CS.CS70: Lecture 2. Outline.1. Propositions.2. Propositional Forms.3. Implication Again.4. Wasons Experiment5. Truth Tables6. QuantiersPropositions: Statements that are true or f
Berkeley - COMPSCI - 70
AdministrationMidterm 1 is not early after all.We dont think 3 weeks is enough material to merit a midterm.CS70: Lecture 3. Outline.1. Proofs2. Simple3. Direct4. by Contrapositive5. by Cases6. by ContradictionSimple theorem.Theorem: P = (P Q ).
Berkeley - COMPSCI - 70
AdministrationPiazza class formsI have some and will hand out with the following priority.1. Richard Dores Tuesday section.2. Attended section and account forms ran out.3. Everyone else.I am having more printed.and will advise on piazza about.1. ho
Berkeley - COMPSCI - 70
AdministrationAccount forms.I have some and will hand out after class.Sign in to class account and register, or we cant recordyour grades!CS70: Lecture 5. Outline.1. Graphs.2. Tilings. Prove a stronger theorem.3. Strong Induction.4. Well Ordering
Berkeley - COMPSCI - 70
AdministrationAccount forms.I have some and will hand out after class.Sign in to class account and register, or else!CS70: Lecture 6. Outline.1. Induction/Recursion2. Stable Marriage Problem (Notes 4.)Tournament has a cycle of length 3 if at all.T
Berkeley - COMPSCI - 70
AdministrationCS70: Satish Rao: Lecture 7. Outline.1. What day is it?2. Modular Arithmetic.3. Division4. Euclids Algorithm.5. Euclids Extended Algorithm.What day is it?What day (of the week) will it be on September 12, 2012?What day is it?What d
Berkeley - COMPSCI - 70
AdministrationPlease, be considerate in that last minute!AdministrationPlease, be considerate in that last minute!Thanks!CS70: Satish Rao: Lecture 8. Outline.1. Modular Arithmetic: review.2. Inverses for Modular Arithmetc: Greatest Common Divisor.