Problem Set 1a - Oligopoly
|
|
- Alannah Mitchell
- 5 years ago
- Views:
Transcription
1 Advaced Idustrial Ecoomics Sprig 2014 Joha Steek 6 may 2014 Problem Set 1a - Oligopoly 1
2 Table of Cotets 2 Price Competitio Courot Oligopoly with Homogeous Goods ad Differet Costs Bertrad Duopoly with Homogeous Goods ad Differet Costs Courot Oligopoly with Differetiated Goods Bertrad Oligopoly with Differetiated Goods * Comparig Courot ad Bertad... 7 * = Oly this questio is discussed i class 2
3 2 Price Competitio This problem set gives you some experiece i workig with formal oligopoly models. We will use the liear Bertrad ad the Courot models ad allow the firms to have differet margial costs. We will also cosider the case whe the firms produce differetiated products. Istead of workig with localized competitio a la Hotellig, where goods are described by their characteristics ad cosumers have differet prefereces over characteristics, we will here assume that all cosumers are idetical but that they love variety, ie that they like to cosume a little of may differet variats of the product rather tha a lot of just oe variat. 2.1 Courot Oligopoly with Homogeous Goods ad Differet Costs This exercise ivestigates whether productio costs are miimized i a Courot oligopoly market. Cosider a homogeous goods market with firms competig a la Courot. Let be firm i s quatity ad Q = q i the aggregate quatity. The price is give by the iverse demad fuctio, which is liear ad give by p = α Q. Firm i s margial cost is costat ad deoted. Let c = 1 c i be the average cost i the market. 1. Compute the equilibrium price. 2. How does the equilibrium price deped o the distributio of costs (mea, variace et.c.)? 3. Compute firm i s quatity. 4. Uder what coditios will firm i produce a positive output? 5. Keepig the umber of firms i the market fixed, what determies firm i s market share s i = q i Q? 6. Are productio costs miimized i the market? 3
4 2.2 Bertrad Duopoly with Homogeous Goods ad Differet Costs This exercise ivestigates whether productio costs are miimized i a Bertrad oligopoly market. Cosider a homogeous goods market with 2 firms competig a la Bertrad. Let be firm i s price. Assume that firm 1 s cost is ad that firm 2 s cost is higher c H > c L. Market demad is give by D( p). If the firms charge the same price, half of the cosumers buy from each firm. Let p 1 m deote the price that firm 1 would choose if it were a moopolist ad p 2 m the price that firm 2 would charge if it were a moopolist. Note that p 2 m > p 1 m sice firm 2 s cost is higher. 1. Compute firm 2 s best- reply fuctio. Display it i a diagram with p 1 o the x- axis ad p 2 o the y- axis. Hit: What price would firm 2 like to charge if firm 1 charges a price above p m 2? What price would firm 2 like to charge if firm 1 charges a price at or below c H? What price would firm 2 like to charge if firm 1 charges a price betwee firm 2 s moopoly price ad cost? 1 2. Compute firm 1 s best- reply fuctio. Display it i the same diagram as above. 3. Fid the Nash equilibrium. Hit: Use the diagram. 4. Is there ay market power ad, if so, what determies market power? 5. Are productio costs miimized i the market? 6. Explai the differece to Courot. 2.3 Courot Oligopoly with Differetiated Goods Cosider a differetiated goods market with firms competig a la Courot. The cosumer s utility is quadratic ad give by 1 To avoid some techical complicatios you should go back to see how we solved the Bertrad model with homogeous goods, but with idetical costs. Oe problem is that sometimes several differet prices may all give the highest possible profit. You may the select oe of these prices for the best- reply fuctio. Aother problem is that sometimes firms wat to udercut their rival s price with the smallest possible amout. You may the view p j ε as the best reply (despite the fact that ε could be made arbitrarily small). 4
5 U = α q i q i σ q i q j + y where deotes the quatity of firm i s product that the cosumer cosumes, is the quatity cosumed of a outside good (also servig as a umeraire) ad σ [ 0,1) is the degree of substitutio betwee the q- goods. Let be firm i s price. All firms have the same costat margial cost c, which is assumed to be lower tha the demad itercept, i.e. c < α. Firm i s iverse demad is the give by: p i = α q i σ q j. 1. What does σ = 0 sigify? What does σ = 1 sigify? 2. Compute the equilibrium prices. If you wish, you may assume that the equilibrium is symmetric, i.e. that the firms produce the same quatity q i = q. But, if you ca, try to solve the problem without assumig symmetry. 3. What determies the stregth of competitio? Hit: How does price deped o the umber of firms ad the degree of substitutability? 2.4 Bertrad Oligopoly with Differetiated Goods * Cosider a differetiated goods market with firms competig a la Bertrad. The cosumer s utility is quadratic ad give by U = α q i q i σ q i q j + y where deotes the quatity of firm i s product that the cosumer cosumes, is the quatity cosumed of a outside good (also servig as a umeraire) ad σ [ 0,1) is the degree of substitutio betwee the q- goods. Let be firm i s price. The idirect demad fuctios, used i the Courot model above, are easy to derive. To derive the demad fuctios, oe has to ivert the system of liear idirect demad fuctio. Oe may the show that firm i s demad is liear ad give by 5
6 q i = A Bp i + G 1 1 p j where ( 1 σ )α A = 1+ ( 2)σ ( 1)σ ( 2)σ B = 1+ ( 2)σ ( 1)σ 0 2. ( 1)σ G = 1+ ( 2)σ ( 1)σ 0 2 (If you wish, you may try to show this yourself!) Note that if the goods would be perfect substitutes, ie if σ = 1, the the above expressios would etail divisio by zero, 1+ ( 2)σ ( 1)σ 2 = 0, which is ot allowed. The reaso is that i this case we caot solve for separate demad fuctios for the firms. That is, the demad for the idividual goods caot be determied. Note also that if firm 1 would charge a very high price p 1 i compariso to the price charged by the competitors, firm 1 would ot be able to sell aythig, i.e. q 1 = 0. The demad fuctio seems to suggest, however, that the quatity could be egative. But this is just because we have take a short- cut here, simply assumig that the two prices will ot be too differet. Luckily, this simplificatio turs out to be okay i the aalysis we will do here. All firms have the same costat margial cost c, which is assumed to be lower tha the demad itercept, i.e. c < α. 1. Compute the equilibrium prices (cosiderig A, B ad G as parameters). You may assume the equilibrium to be symmetric, i.e. that all firms charge the same price ( p i = p ) i equilibrium. 2. Compute the equilibrium price as a fuctio of the deep parameters, i.e. α,σ,. 3. What determies the stregth of competitio (market power) i the market? 6
7 a. How does price deped o the umber of firms? What happes to price if the umber of firms is oe, two or teds to ifiity? b. How does price deped o the degree of substitutio? What happes to price if goods are urelated σ = 0 of almost perfect substitutes σ 1? 2.5 Comparig Courot ad Bertad Compare the Courot equilibrium price ad the Bertrad equilibrium price, whe firms produce differetiated products but have the same margial cost. Which is higher? 7
5. Best Unbiased Estimators
Best Ubiased Estimators http://www.math.uah.edu/stat/poit/ubiased.xhtml 1 of 7 7/16/2009 6:13 AM Virtual Laboratories > 7. Poit Estimatio > 1 2 3 4 5 6 5. Best Ubiased Estimators Basic Theory Cosider agai
More informationCombining imperfect data, and an introduction to data assimilation Ross Bannister, NCEO, September 2010
Combiig imperfect data, ad a itroductio to data assimilatio Ross Baister, NCEO, September 00 rbaister@readigacuk The probability desity fuctio (PDF prob that x lies betwee x ad x + dx p (x restrictio o
More informationNotes on Expected Revenue from Auctions
Notes o Epected Reveue from Auctios Professor Bergstrom These otes spell out some of the mathematical details about first ad secod price sealed bid auctios that were discussed i Thursday s lecture You
More informationMonopoly vs. Competition in Light of Extraction Norms. Abstract
Moopoly vs. Competitio i Light of Extractio Norms By Arkadi Koziashvili, Shmuel Nitza ad Yossef Tobol Abstract This ote demostrates that whether the market is competitive or moopolistic eed ot be the result
More informationChapter 2 Demand and Supply Analysis
Chapter 2 Demad ad Supply Aalysis Outlie 1. Competitive Markets Defiitio Assumptios of the model 2. The Market Demad Curve 3. The Market Supply Curve 4. Competitive Market Equilibrium 5. Elasticity 2 Mothly
More information1 ECON4415: International Economics Problem Set 4 - Solutions
ECON445: Iteratioal Ecoomics Problem Set 4 - Solutios. I Moopolistic competitio. Moopolistic competitio is a market form where May rms producig di eret varieties. Each rm has moopoly power over its ow
More information. The firm makes different types of furniture. Let x ( x1,..., x n. If the firm produces nothing it rents out the entire space and so has a profit of
Joh Riley F Maimizatio with a sigle costrait F3 The Ecoomic approach - - shadow prices Suppose that a firm has a log term retal of uits of factory space The firm ca ret additioal space at a retal rate
More informationExam 1 Spring 2015 Statistics for Applications 3/5/2015
8.443 Exam Sprig 05 Statistics for Applicatios 3/5/05. Log Normal Distributio: A radom variable X follows a Logormal(θ, σ ) distributio if l(x) follows a Normal(θ, σ ) distributio. For the ormal radom
More informationOverlapping Generations
Eco. 53a all 996 C. Sims. troductio Overlappig Geeratios We wat to study how asset markets allow idividuals, motivated by the eed to provide icome for their retiremet years, to fiace capital accumulatio
More informationEC426 Class 5, Question 3: Is there a case for eliminating commodity taxation? Bianca Mulaney November 3, 2016
EC426 Class 5, Questio 3: Is there a case for elimiatig commodity taxatio? Biaca Mulaey November 3, 2016 Aswer: YES Why? Atkiso & Stiglitz: differetial commodity taxatio is ot optimal i the presece of
More informationEVEN NUMBERED EXERCISES IN CHAPTER 4
Joh Riley 7 July EVEN NUMBERED EXERCISES IN CHAPTER 4 SECTION 4 Exercise 4-: Cost Fuctio of a Cobb-Douglas firm What is the cost fuctio of a firm with a Cobb-Douglas productio fuctio? Rather tha miimie
More informationSolutions to Problem Sheet 1
Solutios to Problem Sheet ) Use Theorem.4 to prove that p log for all real x 3. This is a versio of Theorem.4 with the iteger N replaced by the real x. Hit Give x 3 let N = [x], the largest iteger x. The,
More informationFINM6900 Finance Theory How Is Asymmetric Information Reflected in Asset Prices?
FINM6900 Fiace Theory How Is Asymmetric Iformatio Reflected i Asset Prices? February 3, 2012 Referece S. Grossma, O the Efficiecy of Competitive Stock Markets where Traders Have Diverse iformatio, Joural
More informationInsurance and Production Function Xingze Wang, Ying Hsuan Lin, and Frederick Jao (2007)
Isurace ad Productio Fuctio Xigze Wag, Yig Hsua Li, ad Frederick Jao (2007) 14.01 Priciples of Microecoomics, Fall 2007 Chia-Hui Che September 28, 2007 Lecture 10 Isurace ad Productio Fuctio Outlie 1.
More informationMonetary Economics: Problem Set #5 Solutions
Moetary Ecoomics oblem Set #5 Moetary Ecoomics: oblem Set #5 Solutios This problem set is marked out of 1 poits. The weight give to each part is idicated below. Please cotact me asap if you have ay questios.
More information1 Random Variables and Key Statistics
Review of Statistics 1 Radom Variables ad Key Statistics Radom Variable: A radom variable is a variable that takes o differet umerical values from a sample space determied by chace (probability distributio,
More informationFDI Policy, Greenfield Investment and Cross-border Mergersroie_
Review of Iteratioal Ecoomics, 9(5), 836 85, 0 DOI:0/j467-9396000984x FDI Policy, reefield Ivestmet ad Cross-border ergersroie_984 83685 Larry D Qiu ad Shegzu Wag* Abstract This paper examies a multiatioal
More informationIntroduction to Probability and Statistics Chapter 7
Itroductio to Probability ad Statistics Chapter 7 Ammar M. Sarha, asarha@mathstat.dal.ca Departmet of Mathematics ad Statistics, Dalhousie Uiversity Fall Semester 008 Chapter 7 Statistical Itervals Based
More informationSolution to Tutorial 6
Solutio to Tutorial 6 2012/2013 Semester I MA4264 Game Theory Tutor: Xiag Su October 12, 2012 1 Review Static game of icomplete iformatio The ormal-form represetatio of a -player static Bayesia game: {A
More informationStatistics for Economics & Business
Statistics for Ecoomics & Busiess Cofidece Iterval Estimatio Learig Objectives I this chapter, you lear: To costruct ad iterpret cofidece iterval estimates for the mea ad the proportio How to determie
More informationUnbiased estimators Estimators
19 Ubiased estimators I Chapter 17 we saw that a dataset ca be modeled as a realizatio of a radom sample from a probability distributio ad that quatities of iterest correspod to features of the model distributio.
More information4.5 Generalized likelihood ratio test
4.5 Geeralized likelihood ratio test A assumptio that is used i the Athlete Biological Passport is that haemoglobi varies equally i all athletes. We wish to test this assumptio o a sample of k athletes.
More informationChapter 4 - Consumer. Household Demand and Supply. Solving the max-utility problem. Working out consumer responses. The response function
Almost essetial Cosumer: Optimisatio Chapter 4 - Cosumer Osa 2: Household ad supply Cosumer: Welfare Useful, but optioal Firm: Optimisatio Household Demad ad Supply MICROECONOMICS Priciples ad Aalysis
More informationINTERVAL GAMES. and player 2 selects 1, then player 2 would give player 1 a payoff of, 1) = 0.
INTERVAL GAMES ANTHONY MENDES Let I ad I 2 be itervals of real umbers. A iterval game is played i this way: player secretly selects x I ad player 2 secretly ad idepedetly selects y I 2. After x ad y are
More informationParametric Density Estimation: Maximum Likelihood Estimation
Parametric Desity stimatio: Maimum Likelihood stimatio C6 Today Itroductio to desity estimatio Maimum Likelihood stimatio Itroducto Bayesia Decisio Theory i previous lectures tells us how to desig a optimal
More informationToday: Finish Chapter 9 (Sections 9.6 to 9.8 and 9.9 Lesson 3)
Today: Fiish Chapter 9 (Sectios 9.6 to 9.8 ad 9.9 Lesso 3) ANNOUNCEMENTS: Quiz #7 begis after class today, eds Moday at 3pm. Quiz #8 will begi ext Friday ad ed at 10am Moday (day of fial). There will be
More informationSTAT 135 Solutions to Homework 3: 30 points
STAT 35 Solutios to Homework 3: 30 poits Sprig 205 The objective of this Problem Set is to study the Stei Pheomeo 955. Suppose that θ θ, θ 2,..., θ cosists of ukow parameters, with 3. We wish to estimate
More informationTopic-7. Large Sample Estimation
Topic-7 Large Sample Estimatio TYPES OF INFERENCE Ò Estimatio: É Estimatig or predictig the value of the parameter É What is (are) the most likely values of m or p? Ò Hypothesis Testig: É Decidig about
More informationEstimating Proportions with Confidence
Aoucemets: Discussio today is review for midterm, o credit. You may atted more tha oe discussio sectio. Brig sheets of otes ad calculator to midterm. We will provide Scatro form. Homework: (Due Wed Chapter
More informationThe material in this chapter is motivated by Experiment 9.
Chapter 5 Optimal Auctios The material i this chapter is motivated by Experimet 9. We wish to aalyze the decisio of a seller who sets a reserve price whe auctioig off a item to a group of bidders. We begi
More informationModels of Asset Pricing
4 Appedix 1 to Chapter Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see
More informationOnline appendices from Counterparty Risk and Credit Value Adjustment a continuing challenge for global financial markets by Jon Gregory
Olie appedices from Couterparty Risk ad Credit Value Adjustmet a APPENDIX 8A: Formulas for EE, PFE ad EPE for a ormal distributio Cosider a ormal distributio with mea (expected future value) ad stadard
More informationOptimal Risk Classification and Underwriting Risk for Substandard Annuities
1 Optimal Risk Classificatio ad Uderwritig Risk for Substadard Auities Nadie Gatzert, Uiversity of Erlage-Nürberg Gudru Hoerma, Muich Hato Schmeiser, Istitute of Isurace Ecoomics, Uiversity of St. Galle
More informationControl Charts for Mean under Shrinkage Technique
Helderma Verlag Ecoomic Quality Cotrol ISSN 0940-5151 Vol 24 (2009), No. 2, 255 261 Cotrol Charts for Mea uder Shrikage Techique J. R. Sigh ad Mujahida Sayyed Abstract: I this paper a attempt is made to
More informationSubject CT5 Contingencies Core Technical. Syllabus. for the 2011 Examinations. The Faculty of Actuaries and Institute of Actuaries.
Subject CT5 Cotigecies Core Techical Syllabus for the 2011 Examiatios 1 Jue 2010 The Faculty of Actuaries ad Istitute of Actuaries Aim The aim of the Cotigecies subject is to provide a groudig i the mathematical
More informationChapter 10 - Lecture 2 The independent two sample t-test and. confidence interval
Assumptios Idepedet Samples - ukow σ 1, σ - 30 or m 30 - Upooled case Idepedet Samples - ukow σ 1, σ - 30 or m 30 - Pooled case Idepedet samples - Pooled variace - Large samples Chapter 10 - Lecture The
More information1 Estimating sensitivities
Copyright c 27 by Karl Sigma 1 Estimatig sesitivities Whe estimatig the Greeks, such as the, the geeral problem ivolves a radom variable Y = Y (α) (such as a discouted payoff) that depeds o a parameter
More informationChapter 8. Confidence Interval Estimation. Copyright 2015, 2012, 2009 Pearson Education, Inc. Chapter 8, Slide 1
Chapter 8 Cofidece Iterval Estimatio Copyright 2015, 2012, 2009 Pearso Educatio, Ic. Chapter 8, Slide 1 Learig Objectives I this chapter, you lear: To costruct ad iterpret cofidece iterval estimates for
More informationACTUARIAL RESEARCH CLEARING HOUSE 1990 VOL. 2 INTEREST, AMORTIZATION AND SIMPLICITY. by Thomas M. Zavist, A.S.A.
ACTUARIAL RESEARCH CLEARING HOUSE 1990 VOL. INTEREST, AMORTIZATION AND SIMPLICITY by Thomas M. Zavist, A.S.A. 37 Iterest m Amortizatio ad Simplicity Cosider simple iterest for a momet. Suppose you have
More informationr i = a i + b i f b i = Cov[r i, f] The only parameters to be estimated for this model are a i 's, b i 's, σe 2 i
The iformatio required by the mea-variace approach is substatial whe the umber of assets is large; there are mea values, variaces, ad )/2 covariaces - a total of 2 + )/2 parameters. Sigle-factor model:
More informationExam 2. Instructor: Cynthia Rudin TA: Dimitrios Bisias. October 25, 2011
15.075 Exam 2 Istructor: Cythia Rudi TA: Dimitrios Bisias October 25, 2011 Gradig is based o demostratio of coceptual uderstadig, so you eed to show all of your work. Problem 1 You are i charge of a study
More informationAn Empirical Study of the Behaviour of the Sample Kurtosis in Samples from Symmetric Stable Distributions
A Empirical Study of the Behaviour of the Sample Kurtosis i Samples from Symmetric Stable Distributios J. Marti va Zyl Departmet of Actuarial Sciece ad Mathematical Statistics, Uiversity of the Free State,
More information5 Statistical Inference
5 Statistical Iferece 5.1 Trasitio from Probability Theory to Statistical Iferece 1. We have ow more or less fiished the probability sectio of the course - we ow tur attetio to statistical iferece. I statistical
More informationLecture 4: Parameter Estimation and Confidence Intervals. GENOME 560 Doug Fowler, GS
Lecture 4: Parameter Estimatio ad Cofidece Itervals GENOME 560 Doug Fowler, GS (dfowler@uw.edu) 1 Review: Probability Distributios Discrete: Biomial distributio Hypergeometric distributio Poisso distributio
More information1. Suppose X is a variable that follows the normal distribution with known standard deviation σ = 0.3 but unknown mean µ.
Chapter 9 Exercises Suppose X is a variable that follows the ormal distributio with kow stadard deviatio σ = 03 but ukow mea µ (a) Costruct a 95% cofidece iterval for µ if a radom sample of = 6 observatios
More information14.30 Introduction to Statistical Methods in Economics Spring 2009
MIT OpeCourseWare http://ocwmitedu 430 Itroductio to Statistical Methods i Ecoomics Sprig 009 For iformatio about citig these materials or our Terms of Use, visit: http://ocwmitedu/terms 430 Itroductio
More informationMaximum Empirical Likelihood Estimation (MELE)
Maximum Empirical Likelihood Estimatio (MELE Natha Smooha Abstract Estimatio of Stadard Liear Model - Maximum Empirical Likelihood Estimator: Combiatio of the idea of imum likelihood method of momets,
More informationSubject CT1 Financial Mathematics Core Technical Syllabus
Subject CT1 Fiacial Mathematics Core Techical Syllabus for the 2018 exams 1 Jue 2017 Subject CT1 Fiacial Mathematics Core Techical Aim The aim of the Fiacial Mathematics subject is to provide a groudig
More informationModels of Asset Pricing
APPENDIX 1 TO CHAPTER 4 Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see
More informationModels of Asset Pricing
APPENDIX 1 TO CHAPTER4 Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see
More informationCAPITAL ASSET PRICING MODEL
CAPITAL ASSET PRICING MODEL RETURN. Retur i respect of a observatio is give by the followig formula R = (P P 0 ) + D P 0 Where R = Retur from the ivestmet durig this period P 0 = Curret market price P
More informationSTRAND: FINANCE. Unit 3 Loans and Mortgages TEXT. Contents. Section. 3.1 Annual Percentage Rate (APR) 3.2 APR for Repayment of Loans
CMM Subject Support Strad: FINANCE Uit 3 Loas ad Mortgages: Text m e p STRAND: FINANCE Uit 3 Loas ad Mortgages TEXT Cotets Sectio 3.1 Aual Percetage Rate (APR) 3.2 APR for Repaymet of Loas 3.3 Credit Purchases
More informationpoint estimator a random variable (like P or X) whose values are used to estimate a population parameter
Estimatio We have oted that the pollig problem which attempts to estimate the proportio p of Successes i some populatio ad the measuremet problem which attempts to estimate the mea value µ of some quatity
More informationMath 312, Intro. to Real Analysis: Homework #4 Solutions
Math 3, Itro. to Real Aalysis: Homework #4 Solutios Stephe G. Simpso Moday, March, 009 The assigmet cosists of Exercises 0.6, 0.8, 0.0,.,.3,.6,.0,.,. i the Ross textbook. Each problem couts 0 poits. 0.6.
More informationThe Balassa-Samuelson Effect and Pricing-to-Market: The Role of Strategic Complementarity
The Balassa-Samuelso Effect ad Pricig-to-Market: The Role of Strategic Complemetarity Eddy Bekkers Uiversity of Ber Ia Simoovska Uiversity of Califoria, Davis ad NBER We propose a ovel determiat of prices
More informationDisclosure Standards for Vertical Contracts. Anil Arya. The Ohio State University. Brian Mittendorf. The Ohio State University
Disclosure Stadards for Vertical Cotracts Ail Arya The Ohio State Uiversity Bria Mittedorf The Ohio State Uiversity October 010 Disclosure Stadards for Vertical Cotracts Abstract Disclosure stadards promotig
More informationA random variable is a variable whose value is a numerical outcome of a random phenomenon.
The Practice of Statistics, d ed ates, Moore, ad Stares Itroductio We are ofte more iterested i the umber of times a give outcome ca occur tha i the possible outcomes themselves For example, if we toss
More information1 The Black-Scholes model
The Blac-Scholes model. The model setup I the simplest versio of the Blac-Scholes model the are two assets: a ris-less asset ba accout or bod)withpriceprocessbt) at timet, adarisyasset stoc) withpriceprocess
More informationFirst Nature vs. Second Nature Causes: Industry Location. and Growth in the Presence of an Open-Access Renewable Resource
First Nature vs. ecod Nature Causes: Idustry Locatio ad Growth i the Presece of a Ope-Access eewable esource afael Gozález-Val a Ferado Pueyo b a Uiversidad de Barceloa & Istituto de Ecoomía de Barceloa
More information10. The two-period economy with sticky prices
0. The two-period ecoomy with sticky prices Idex: 0. The two-period ecoomy with sticky prices... 9. Itroductio... 9. Basic model... 9.. Mai assumptios... 9.. Equilibrium...4 9.3 The well fuctioig versus
More informationBASIC STATISTICS ECOE 1323
BASIC STATISTICS ECOE 33 SPRING 007 FINAL EXAM NAME: ID NUMBER: INSTRUCTIONS:. Write your ame ad studet ID.. You have hours 3. This eam must be your ow work etirely. You caot talk to or share iformatio
More informationLecture 16 Investment, Time, and Risk (Basic issues in Finance)
Lecture 16 Ivestmet, Time, ad Risk (Basic issues i Fiace) 1. Itertemporal Ivestmet Decisios: The Importace o Time ad Discoutig 1) Time as oe o the most importat actors aectig irm s ivestmet decisios: A
More informationSCHOOL OF ACCOUNTING AND BUSINESS BSc. (APPLIED ACCOUNTING) GENERAL / SPECIAL DEGREE PROGRAMME
All Right Reserved No. of Pages - 10 No of Questios - 08 SCHOOL OF ACCOUNTING AND BUSINESS BSc. (APPLIED ACCOUNTING) GENERAL / SPECIAL DEGREE PROGRAMME YEAR I SEMESTER I (Group B) END SEMESTER EXAMINATION
More informationPublic-good valuation and intrafamily allocation
Public-good valuatio ad itrafamily allocatio By Jo Strad Departmet of Ecoomics Uiversity of Oslo Box 095, Blider, 037 Oslo, orway e-mail: jo.strad@eco.uio.o ovember 004 Abstract I derive values of margial
More informationSampling Distributions and Estimation
Cotets 40 Samplig Distributios ad Estimatio 40.1 Samplig Distributios 40. Iterval Estimatio for the Variace 13 Learig outcomes You will lear about the distributios which are created whe a populatio is
More informationCHAPTER 8: CONFIDENCE INTERVAL ESTIMATES for Means and Proportions
CHAPTER 8: CONFIDENCE INTERVAL ESTIMATES for Meas ad Proportios Itroductio: I this chapter we wat to fid out the value of a parameter for a populatio. We do t kow the value of this parameter for the etire
More informationPrice Discrimination through Multi-Level Loyalty Programs
Price Discrimiatio through Multi-Level Loyalty Programs Serdar Sayma Murat Usma December 03 This research was supported by TÜBİTAK (The Scietific ad Techological Research Coucil of Turkey Project No: 07K069
More informationCHAPTER 2 PRICING OF BONDS
CHAPTER 2 PRICING OF BONDS CHAPTER SUARY This chapter will focus o the time value of moey ad how to calculate the price of a bod. Whe pricig a bod it is ecessary to estimate the expected cash flows ad
More informationFaculdade de Economia da Universidade de Coimbra
Faculdade de Ecoomia da Uiversidade de Coimbra Grupo de Estudos Moetários e Fiaceiros (GEMF) Av. Dias da Silva, 65 300-5 COIMBRA, PORTUGAL gemf@fe.uc.pt http://www.uc.pt/feuc/gemf PEDRO GODINHO Estimatig
More informationAppendix 1 to Chapter 5
Appedix 1 to Chapter 5 Models of Asset Pricig I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy a asset, we are
More informationCompeting Auctions with Endogenous Quantities
Competig Auctios with Edogeous Quatities Bey Moldovau, Aer Sela, Xiawe Shi December 6, 006 Abstract We study models where two sellers simultaeously decide o their discrete supply of a homogeous good. There
More informationof Asset Pricing R e = expected return
Appedix 1 to Chapter 5 Models of Asset Pricig EXPECTED RETURN I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy
More informationCHAPTER 8 Estimating with Confidence
CHAPTER 8 Estimatig with Cofidece 8.2 Estimatig a Populatio Proportio The Practice of Statistics, 5th Editio Stares, Tabor, Yates, Moore Bedford Freema Worth Publishers Estimatig a Populatio Proportio
More informationThe Likelihood Ratio Test
LM 05 Likelihood Ratio Test 1 The Likelihood Ratio Test The likelihood ratio test is a geeral purpose test desiged evaluate ested statistical models i a way that is strictly aalogous to the F-test for
More informationProfit Taxation, Monopolistic Competition and International Relocation of Firms
1 Profit Taxatio, Moopolistic Competitio ad Iteratioal Relocatio of Firms Wataru Johdo This paper presets a two-coutry moopolistic competitio trade model to aalyze how the profit taxatio determies the
More informationA Bayesian perspective on estimating mean, variance, and standard-deviation from data
Brigham Youg Uiversity BYU ScholarsArchive All Faculty Publicatios 006--05 A Bayesia perspective o estimatig mea, variace, ad stadard-deviatio from data Travis E. Oliphat Follow this ad additioal works
More informationChapter 11 Appendices: Review of Topics from Foundations in Finance and Tables
Chapter 11 Appedices: Review of Topics from Foudatios i Fiace ad Tables A: INTRODUCTION The expressio Time is moey certaily applies i fiace. People ad istitutios are impatiet; they wat moey ow ad are geerally
More informationSimulation Efficiency and an Introduction to Variance Reduction Methods
Mote Carlo Simulatio: IEOR E4703 Columbia Uiversity c 2017 by Marti Haugh Simulatio Efficiecy ad a Itroductio to Variace Reductio Methods I these otes we discuss the efficiecy of a Mote-Carlo estimator.
More informationAPPLICATION OF GEOMETRIC SEQUENCES AND SERIES: COMPOUND INTEREST AND ANNUITIES
APPLICATION OF GEOMETRIC SEQUENCES AND SERIES: COMPOUND INTEREST AND ANNUITIES Example: Brado s Problem Brado, who is ow sixtee, would like to be a poker champio some day. At the age of twety-oe, he would
More informationAnomaly Correction by Optimal Trading Frequency
Aomaly Correctio by Optimal Tradig Frequecy Yiqiao Yi Columbia Uiversity September 9, 206 Abstract Uder the assumptio that security prices follow radom walk, we look at price versus differet movig averages.
More informationPrinceton University, Princeton, NJ 08544, USA (
Ecoomic Theory 19, 271 282 (2002) Research Article Wier-take-all price competitio Michael R. Baye 1 ad Joh Morga 2 1 Departmet of Busiess Ecoomics ad Public Policy, Kelley School of Busiess, Idiaa Uiversity,
More informationA FINITE HORIZON INVENTORY MODEL WITH LIFE TIME, POWER DEMAND PATTERN AND LOST SALES
Iteratioal Joural of Mathematical Scieces Vol., No. 3-4, July-December 2, pp. 435-446 Serials Publicatios A FINIE HORIZON INVENORY MODEL WIH LIFE IME, POWER DEMAND PAERN AND LOS SALES Vipi Kumar & S. R.
More information2.6 Rational Functions and Their Graphs
.6 Ratioal Fuctios ad Their Graphs Sectio.6 Notes Page Ratioal Fuctio: a fuctio with a variable i the deoiator. To fid the y-itercept for a ratioal fuctio, put i a zero for. To fid the -itercept for a
More informationClass Sessions 2, 3, and 4: The Time Value of Money
Class Sessios 2, 3, ad 4: The Time Value of Moey Associated Readig: Text Chapter 3 ad your calculator s maual. Summary Moey is a promise by a Bak to pay to the Bearer o demad a sum of well, moey! Oe risk
More information1 + r. k=1. (1 + r) k = A r 1
Perpetual auity pays a fixed sum periodically forever. Suppose a amout A is paid at the ed of each period, ad suppose the per-period iterest rate is r. The the preset value of the perpetual auity is A
More informationThis article is part of a series providing
feature Bryce Millard ad Adrew Machi Characteristics of public sector workers SUMMARY This article presets aalysis of public sector employmet, ad makes comparisos with the private sector, usig data from
More informationAY Term 2 Mock Examination
AY 206-7 Term 2 Mock Examiatio Date / Start Time Course Group Istructor 24 March 207 / 2 PM to 3:00 PM QF302 Ivestmet ad Fiacial Data Aalysis G Christopher Tig INSTRUCTIONS TO STUDENTS. This mock examiatio
More informationCreditRisk + Download document from CSFB web site:
CreditRis + Dowload documet from CSFB web site: http://www.csfb.com/creditris/ Features of CreditRis+ pplies a actuarial sciece framewor to the derivatio of the loss distributio of a bod/loa portfolio.
More informationx satisfying all regularity conditions. Then
AMS570.01 Practice Midterm Exam Sprig, 018 Name: ID: Sigature: Istructio: This is a close book exam. You are allowed oe-page 8x11 formula sheet (-sided). No cellphoe or calculator or computer is allowed.
More informationTwitter: @Owe134866 www.mathsfreeresourcelibrary.com Prior Kowledge Check 1) State whether each variable is qualitative or quatitative: a) Car colour Qualitative b) Miles travelled by a cyclist c) Favourite
More informationCompeting Auctions with Endogenous Quantities 1
Competig Auctios with Edogeous Quatities 1 Bey Moldovau, Aer Sela 3, Xiawe Shi 4 July 11, 007 1 We wish to tha Stefa Behriger, Drew Fudeberg, Phil Haile, two aoymous referees ad a associate editor for
More informationSummary. Recap. Last Lecture. .1 If you know MLE of θ, can you also know MLE of τ(θ) for any function τ?
Last Lecture Biostatistics 60 - Statistical Iferece Lecture Cramer-Rao Theorem Hyu Mi Kag February 9th, 03 If you kow MLE of, ca you also kow MLE of τ() for ay fuctio τ? What are plausible ways to compare
More information18.S096 Problem Set 5 Fall 2013 Volatility Modeling Due Date: 10/29/2013
18.S096 Problem Set 5 Fall 2013 Volatility Modelig Due Date: 10/29/2013 1. Sample Estimators of Diffusio Process Volatility ad Drift Let {X t } be the price of a fiacial security that follows a geometric
More informationLimits of sequences. Contents 1. Introduction 2 2. Some notation for sequences The behaviour of infinite sequences 3
Limits of sequeces I this uit, we recall what is meat by a simple sequece, ad itroduce ifiite sequeces. We explai what it meas for two sequeces to be the same, ad what is meat by the -th term of a sequece.
More informationOnline appendices from The xva Challenge by Jon Gregory. APPENDIX 10A: Exposure and swaption analogy.
APPENDIX 10A: Exposure ad swaptio aalogy. Sorese ad Bollier (1994), effectively calculate the CVA of a swap positio ad show this ca be writte as: CVA swap = LGD V swaptio (t; t i, T) PD(t i 1, t i ). i=1
More informationof Asset Pricing APPENDIX 1 TO CHAPTER EXPECTED RETURN APPLICATION Expected Return
APPENDIX 1 TO CHAPTER 5 Models of Asset Pricig I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy a asset, we are
More informationGame Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012
Game Theory Lecture Notes By Y. Narahari Departmet of Computer Sciece ad Automatio Idia Istitute of Sciece Bagalore, Idia July 01 Chapter 4: Domiat Strategy Equilibria Note: This is a oly a draft versio,
More informationLecture 4: Probability (continued)
Lecture 4: Probability (cotiued) Desity Curves We ve defied probabilities for discrete variables (such as coi tossig). Probabilities for cotiuous or measuremet variables also are evaluated usig relative
More informationSequences and Series
Sequeces ad Series Matt Rosezweig Cotets Sequeces ad Series. Sequeces.................................................. Series....................................................3 Rudi Chapter 3 Exercises........................................
More information10.The Zero Lower Bound in a two period economy
.The Zero Lower Boud i a two period ecoomy Idex:. The Zero Lower Boud i a two period ecoomy.... Itroductio.... A two period closed ecoomy with moey.....osumptio.....the IS curve...3..3the Fisher equatio...3..4the
More information