3 Pages

ps6

Course: ECON 102, Fall 2008
School: Cornell
Rating:
 
 
 
 
 

Word Count: 1105

Document Preview

102 Economics Introductory Macroeconomics Spring 2006, Professor J. Wissink Problem Set 6 Due: Wednesday April 26 at the start of class Boxes will be removed ten minutes after the start of class. Remember: We will NOT accept problem sets late. Period. Thanks for minding this policy and not asking if you can hand it in late. 1. Briefly, explain the relationship between cost-push inflation AND increases in labor...

Register Now

Unformatted Document Excerpt

Coursehero >> New York >> Cornell >> ECON 102

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
102 Economics Introductory Macroeconomics Spring 2006, Professor J. Wissink Problem Set 6 Due: Wednesday April 26 at the start of class Boxes will be removed ten minutes after the start of class. Remember: We will NOT accept problem sets late. Period. Thanks for minding this policy and not asking if you can hand it in late. 1. Briefly, explain the relationship between cost-push inflation AND increases in labor productivity. 2. For each of the following, draw a Phillips Curve (both short run and long run) and show the impact on the Phillips Curve of: a. a decrease in foreign competition that makes workers less concerned that their jobs will move overseas if they demand higher wages. b. an increase in the natural rate of unemployment. c. a rise in inflationary expectations due to a large increase in the world price of oil. 3. Explain what NAIRU represents. Explain what happens if the actual unemployment rate does not equal NAIRU. And finally, discuss what factors might cause NAIRU to change. 4. State whether EACH of the following descriptions best represents demand-pull inflation OR cost- push inflation/supply-shock inflation. a. Wages increase costs increase prices increase. b. The price of oil goes up costs of production increase prices increase. c. Prices increase costs increase wages increase. d. Total spending in an economy exceeds total output at current prices prices rise. 5. The table below lists four events and four possible impacts these events might have on the unemployment rate. For EACH event listed on the left hand side of the table, choose the most likely impact it will have on unemployment. Event A decrease in government spending. A major job-search website crashes and remains offline for 6 months. A decrease in the minimum wage. Expansionary monetary policy by the Fed. Increase in existing cyclical unemployment. Decrease in existing cyclical unemployment. 6. You have the following data on the economy: Ypotential = 5,000 and Y* = 6,000. Impact on unemployment Increase in the natural rate of unemployment. Decrease in the natural rate of unemployment. a. Draw a diagram showing the state of the economy that includes AD, AS (Short run), and AS (Long run). b. Show/explain how the economy should adjust to this situation if nothing explicit is done, i.e., no monetary or fiscal policy is attempted. c. Suppose the automatic adjustment mechanism described above does not work for some reason. List and explain a fiscal and a monetary policy to achieve Ypotential. Use graphs to explain how your policies change the position of the curves. What are the consequences of your policy intervention to achieve full employment? Multiple Choice 1) The aggregate demand curve slopes downward in part because at higher price levels a) the purchasing power of consumers assets declines and consumption increases. b) producers can get more for what they produce, and they increase production. c) the purchasing power of consumers assets declines and consumption decreases. d) the purchasing power of consumers assets increases and consumption increases. 2) If the United States were to pass legislation that would make it considerably easier for laborers to emigrate to the United States and work, this would very likely cause a) the short-run aggregate supply curve to become nearly vertical at all levels of output. b) the short-run aggregate supply to curve shift to the left. c) the long-run aggregate supply curve to become flatter. d) the short-run aggregate supply curve to shift to the right. 3) Which of the following is a CORRECT sequence of events during an expansion? a) Unemployment falls, income falls, tax revenue falls, unemployment benefits rise, and the budget deficit falls. b) Unemployment rises, income falls, tax revenue falls, unemployment benefits rise, and the budget deficit rises. c) Unemployment rises, income falls, tax revenues rises, unemployment benefits fall, and the budget deficit falls. d) Unemployment falls, income rises, tax revenue rises, unemployment benefits fall, and the budget deficit falls. 4) If the long-run aggregate supply curve is vertical, then the multiplier effect of a change in net taxes on aggregate output, in the long run, a) depends on the price level. b) is one. c) is zero. d) is infinitely large. 5) If wages are sticky, an increase in labor a) demand decreases the wage rate. b) supply increases the wage rate. c) demand increases the wage rate. d) None of the above. 6) After introducing the price level to our model of income determination, which of the following statements is correct? a) The aggregate demand curve shifts to the right when the price level increases. b) A lower price level leads to a higher interest rate. c) A higher price level causes the demand for money curve to shift out generating a movement along the aggregate demand curve d) A lower price level causes the demand for money to shift out generating a movement along the aggregate demand curve e) The aggregate demand curve shifts to the left when the price level increases. 7) Wages might be sticky fail to adjust instantaneously to changes in the economy for which of the following reasons? a) Unions refuse to let wages drop. b) An implicit understanding exists between firms and workers that firms will not do anything to harm workers relative to other workers in the same industry. c) Because the economy changes all the time, firms have o...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Cornell - ECON - 102
Economics 102 Introductory Macroeconomics Spring 2006, Professor J. Wissink Problem Set 7 - ANSWERS rue or False (could you explain your decision?):1.Ta. TRUE: According to the Keynesians, unemployment persists because wages are sticky in the downward d
University of Toronto - CS - 364
gYR V RY rTWT# sv tt w t v v ~v wt ~ wv t s z yt wv s rqiu~xqqxffqxfeTuwqxdiqdTqfxtqd4dhxdTxt~d|vqcfw_gxtdTutr pk q da E redHG x k yo V W gYaP WS o nk Y m Y XP #`p m k P nk s l qhYhihdE ge j vG f EYa #eP vyP g g aVYy b#Fa x wgHv`us EP Xt gY XP r`qpi g
University of Toronto - CS - 364
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: recover.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips -o recover.ps recover.dvi %DVIP
Wilfrid Laurier - DOCS - 562
Regress+Appendix A A Compendium of Common Probability DistributionsVersion 2.3 Dr. Michael P. McLaughlin 1993-2001 Third printing This software and its documentation are distributed free of charge and may neither be sold nor repackaged for sale in whol
Wilfrid Laurier - ECE - 6731
Regress+Appendix A A Compendium of Common Probability DistributionsVersion 2.3 Dr. Michael P. McLaughlin 1993-2001 Third printing This software and its documentation are distributed free of charge and may neither be sold nor repackaged for sale in whol
CSU Northridge - HCMGT - 004
BUS497A paper tips Spring 2009 Prof. Abe Feinberg DO: Write formally, not just use informal speech Include an Executive summary Use Section Headings At least half a page on Mission and Vision Discuss Strengths and Weaknesses in Internal Analysis which mus
CUNY Baruch - CS - 291
List Abstraction! A list is a linear configuration of nodesRead Sections 7.1-7.4! A list node is a container for data " A node can have at most one predecessor and one successor node " We can insert and delete nodes in any order ! Three nodes are ident
ETSU - NTES - 2150
CHAPTER TWELVEMemory Organization12.1 Early MemoryEvery year new memory technologies are developed promising faster response and higher throughput. This makes it difficult to maintain a printed document discussing the latest advances in memory technolo
USC - ENGR - 330
University of Southern California Daniel J. Epstein Department of Industrial and Systems Engineering ISE 330: Introduction to Operations Research Fall 2003: General InformationPersonnel: Instructor: Office Hours: Phone: Fax: Email: Teaching Assistant: Of
Berkeley - BUSINESS - 239
Bus Ad 239B Spring 2002 Problem Set 10 Due Thursday April 101. Suppose W is a K -dimensional Wiener process, and N 0 is an integer. a Let !; t = 1 for all !; t. Find all N + 1-dimensional securi ties processes S such that is a state price process for S .
Cal Poly Pomona - CHM - 315
California State Polytechnic University, PomonaDr. Laurie S. Starkey, Organic Chemistry CHM 314 Chapter 6 Summary (Wade Text): Alkyl Halides/Substitution ReactionsI. Introduction to Alkyl Halides (6-1 6-7) a. Alkyl, vinyl, aryl halides II. Substitution
UMass (Amherst) - BIOEP - 540
Introduction to Biostatistics 540 Final Exam (2 hours) Spring 2001Name: SOLUTION Score: _ Please answer all questions. Show all your work, including formula (if there is any) on the paper. When using a calculator, check your calculations. 1. (5 pts) An i
UC Riverside - STAT - 160
STAT 160AElements of Probability and Statistical Theory11Probability and Distribution2Introduction A phenomenon is random if individual outcomes of the experiment are uncertain but there is nonetheless a regular distribution of outcomes in a large n
UC Riverside - STAT - 160
HW1 (due 10/6/05): (from textbook) 1.2.3, 1.2.9, 1.2.11, 1.2.12, 1.2.16 (extra credit) A fashionable country club has 100 members, 30 of whom are lawyers. Rumor has it that 25 of the club members are liars and that 55 are neither lawyers nor liars. What
UC Riverside - STAT - 160
Statistics 160A Fall 2005Instructor: Xinping Cui, Ph.D. 2642 Statistics-Computer Building Phone: 782-2563 Fax: 782-3286 Email (preferred): xinping.cui@ucr.edu T/Th 2:00pm to 3:00pm or by appointment. Hongjuan Liu Email: hongjuanl@yahoo.com Tuesday 9:00am
East Los Angeles College - CS - 236
Global Illumination CompendiumSeptember 29, 2003 Philip Dutr phil@cs.kuleuven.ac.be Computer Graphics, Department of Computer Science Katholieke Universiteit Leuven http:/www.cs.kuleuven.ac.be/~phil/GI/This collection of formulas and equations is suppos
Universidad de Chile - MATH - 313
The Math WarsCalifornia Battles It Out over Mathematics Education Reform (Part II)Note: The first part of this article appeared in the June/July issue of the Notices, pages 695702.The Numbers BattleShow us the data, show us that this program works, de
UMass (Amherst) - MATH - 300
" vu 1 ~ 1 1 ~ Q` V S X X B A d 7 Q |Q A B V S t B | 7 aQ A B A AQ a V S I Q F &wu 3&gRYYv55U5rEYUT6Ev5EvEbY@E55Yb5pRofe " 1 1 $ 1 TYRURETWuWv hRes tQ G` B I 7 tQ x v A V p 1 " Q` S V |Q 7 A S X V S X X B A d 7 A V S B V d 7 t B X | 7 aQ A B A AQ a A Y58
Universidad de Chile - MATH - 313
The Math WarsCalifornia Battles It Out over Mathematics Education Reform (Part I)Margaret DeArmond is a high school mathematics teacher in Bakersfield, California. She has taught for twenty-seven years, with many of the same frustrations occurring year
UMass (Amherst) - MATH - 300
S q 9 i i @q $ 8 D " o x $ @ y q D i e!Fk!Plk%P%ePR!Cvk!P~Fkpl D i 8 q D D x $ 9 i " i9 8 i q i PP'PhFCzYlkFPzR!k3k!'PhlAhvFkp!' 8 @ #q8 Y!7vYPpo ecfw_Y!kvC!R!7!Pjv!YCFkY!7!# @ 8 i x $ i9 8 q y 0 p i vYePj9 8CvFPjPF!PsPklkP8 7P)YqPjlkC!%!CzTFli n !Ftvi q
UMass (Amherst) - MATH - 300
1. How many distinct arrangements of the letters in MASSACHUSETTS start with MA? 2. A straight is a poker hand consisting of 5 cards whose ranks form a sequence. The highest possible straight is AKQJ10 (Broadway) and the lowest straight is 54321 (the whee
UMass (Amherst) - MATH - 300
UMass (Amherst) - MATH - 300
MATH 300 Practise Exam 3April, 2007The actual exam consists of two parts. In the first part, you will be asked to slove a recursive relation. In the second part of the exam, you will be asked to prove the following 3 theorems.1. X = cfw_1, 2, 3, 4, , 2
UMass (Amherst) - MATH - 300
The actual exam consists of one combinatorial problem and the following four problems.1. Prove by mathematical induction that all integers n 2.1 2!+2 3!+3 4!+ +n-1 n!= 1-1 n!for2. (a) State the definition of holomorphic functions. (b) Define f
UMass (Amherst) - MATH - 300
a WiY U aS r Q W q a WiY U S iS r WS W Qv | VgQ4b`StRVfhouhqbrtqeiR`I9`qfWsQxgQRp`StRVfh0sQp&bjvRmw4`IrVwsh E eT 9 GfWsQTbGpkhReqAw4Pj ef`QphRPPq mp`hVpE0Vwsh E~ q iS v r WSI H QI H WiS Qv | Q q r iS Q r r Q WQ r VptvsrfWUxQRuYAq4b6Vgv`rXWmUxQwgiPqiRs
UMass (Amherst) - MATH - 300
UMASS AMHERST MATH 300: NOTES FOR FALL 05FARSHID HAJIRContents Part 1. Problem Solving, Inductive vs. Deductive Reasoning, An introduction to Proofs 1. Introductory Notes 1.1. Propositions 1.2. Deductive Reasoning 1.3. Inductive Reasoning Part 2. Logic
UMass (Amherst) - MATH - 300
FUNDAMENTAL CONCEPTS OF MATHEMATICS, SPRING 2006 William H. Meeks April 27, 20061Introduction.This preliminary version of a book is based on my notes from teaching Math 300, Fundamental Concepts of Mathematics,at the University of Massachusetts at Amhe
Oklahoma State - SYST - 520
UML a tutorialUML a tutorial.1 1 The history of object-oriented analysis and design methods .2 2 Software engineering .7 2.1 Responsibility-driven versus data-driven approaches .12 2.2 Translational versus elaborational approaches .13 3 Object-oriented a
cta - MYWEB - 499
The Not So Short A Introduction to L TEX 2A Or LTEX 2 in 141 minutesby Tobias Oetiker Hubert Partl, Irene Hyna and Elisabeth Schlegl Version 4.26, September 25, 2008iiCopyright 1995-2005 Tobias Oetiker and Contributers. All rights reserved. This docum
cta - PHYS - 115
The Not So Short A Introduction to L TEX 2A Or LTEX 2 in 141 minutesby Tobias Oetiker Hubert Partl, Irene Hyna and Elisabeth Schlegl Version 4.26, September 25, 2008iiCopyright 1995-2005 Tobias Oetiker and Contributers. All rights reserved. This docum
cta - CS - 320
The Not So Short A Introduction to L TEX 2A Or LTEX 2 in 141 minutesby Tobias Oetiker Hubert Partl, Irene Hyna and Elisabeth Schlegl Version 4.26, September 25, 2008iiCopyright 1995-2005 Tobias Oetiker and Contributers. All rights reserved. This docum
cta - MATH - 200
The Not So Short A Introduction to L TEX 2A Or LTEX 2 in 141 minutesby Tobias Oetiker Hubert Partl, Irene Hyna and Elisabeth Schlegl Version 4.26, September 25, 2008iiCopyright 1995-2005 Tobias Oetiker and Contributers. All rights reserved. This docum
cta - M - 362
The Not So Short A Introduction to L TEX 2A Or LTEX 2 in 141 minutesby Tobias Oetiker Hubert Partl, Irene Hyna and Elisabeth Schlegl Version 4.26, September 25, 2008iiCopyright 1995-2005 Tobias Oetiker and Contributers. All rights reserved. This docum
cta - ME - 106
The Not So Short A Introduction to L TEX 2A Or LTEX 2 in 141 minutesby Tobias Oetiker Hubert Partl, Irene Hyna and Elisabeth Schlegl Version 4.26, September 25, 2008iiCopyright 1995-2005 Tobias Oetiker and Contributers. All rights reserved. This docum
UMass (Amherst) - PDFS - 336
Books The required books for this course are available at Amherst Books (8 Main St, at the corner of Main St. and Pleasant St.). For those of you who have not previously purchased textbooks at Amherst Books, they are located downstairs and are categorized
UMass (Amherst) - PDFS - 336
UMass (Amherst) - PDFS - 336
Grading Your grade will be based on the total number of points received for each of the following assignments: First short writing assignment First paper Second short writing assignment Second paper Final exam Total possible points = 200 Letter grades wil
Fayetteville State University - COP - 402004
COP4020 Fall 2004 Final ExamName: (Please print) Put the answers on these sheets. You can collect 100 points in total for this exam. 1. Which C construct is classied as a selection statement? (mark one) (4 points) (a) return (b) switch (c) break (d) whil
Fayetteville State University - COP - 402004
COP4020 Fall 2002 Final ExamName: (Please print) Put the answers on these sheets. Use additional sheets when necessary. Show how you derived your answer when applicable (this is required for full credit and helpful for partial credit). You can collect 10
Fayetteville State University - COP - 402004
COP4020 Fall 2004 Midterm ExamName: (Please print) Put the answers on these sheets. Use additional sheets when necessary. You can collect 100 points in total for this exam. 1. What was the first functional language? (mark one, 4 points) (a) Algol 60 (b)
Fayetteville State University - COP - 402004
COP4020 Fall 2001 Final ExamName: (Please print) Put the answers on these sheets. Use additional sheets when necessary. Show how you derived your answer (this is required for full credit and helpful for partial credit). You can collect 100 points in tota
Fayetteville State University - COP - 402004
COP4020 Fall 2002 Midterm ExamName: (Please print) Put the answers on these sheets. Use additional sheets when necessary. You can collect 100 points in total for this exam. 1. Scheme belongs to the class of (mark one, 4 points) (a) Object-oriented langua
Simpson CA - CS - 220
SimpleScalar Hackers Guide(for tool set release 2.0)Todd Austin info@simplescalar.com SimpleScalar LLCSimpleScalar LLCSimpleScalar Hackers Guide Todd AustinTutorial Overview Computer Architecture Simulation Primer SimpleScalar Tool Set Overview Use
Washington University in St. Louis - MATH - 422
Math 422, Theory of Functions of a Complex Variable IISpring 2004Instructor:David Wright Office: Room 114, Cupples I Phone: 314 935-6781 (office) E-mail: wright@einstein.wustl.edu Website: www.math.wustl.edu/~wright/ MWF 2:00-3:00Office Hours:Class M
CUNY Baruch - EES - 5501
City College of New York and Graduate Center of City University of New York G5501 Introduction to ROBOTICSHomework #8 Due: Dec. 6, 2005Answer the following questions briefly. 1) What is the robot mapping? What is robot localization? What is robot motion
CUNY Baruch - EES - 5501
Introduction to ROBOTICSMobile Robot MappingDr. John (Jizhong) Xiao Department of Electrical Engineering City College of New York jxiao@ccny.cuny.eduTopics Brief Review: Motion Planning Mobile Robot Mapping Using sonar to create maps Bayes Rule Evide
CUNY Baruch - EES - 5501
City College of New York and Graduate Center of City University of New York G5501 Introduction to ROBOTICSHomework #7 Due: Nov. 29, 2005Answer the following questions briefly. 1) What is the dimension of the Configuration Space of a fixed-base PUMA robo
CUNY Baruch - EES - 5501
Introduction to ROBOTICSMidterm Exam ReviewProf. John (Jizhong) Xiao Department of Electrical Engineering City College of New York jxiao@ccny.cuny.eduTheCityCollegeofNewYork1Grades Distribution12 10 8 6 4 2 0 <60 61~70 71~80 81~89 >90 Students37 st
CUNY Baruch - EES - 5501
City College of New York And Graduate Center of City University of New York G5501 Introduction to ROBOTICSHomework #3 Due: Sep. 27, 2005Problem 1: Establish orthonormal link coordinate systems (xi , yi , zi ) for i=1,2,6 for the PUMA 260 robot arm shown
Portland - ECE - 271
User ManualTektronix Logic Analyzer Family Version 3.2 Software 071-0729-00Copyright Tektronix, Inc. All rights reserved. Licensed software products are owned by Tektronix or its suppliers and are protected by United States copyright laws and internatio
r-p - BIO - 752
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - STAT - 425
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - STAT - 571
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - STAT - 572
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - MATH - 494
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - LIB - 0554
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - ICS - 108
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - BIOSTAT - 651
Practical Regression and Anova using RJulian J. Faraway July 20021 Copyright c 1999, 2000, 2002 Julian J. Faraway Permission to reproduce individual copies of this book for personal use is granted. Multiple copies may be created for nonprot academic pur
r-p - BIO - 752
simpleR Using R for Introductory StatisticsJohn Verzaniy2e+05 20000 40000 60000 800004e+056e+058e+05120000160000page iPrefaceThese notes are an introduction to using the statistical software package R for an introductory statistics course. They
r-p - STAT - 141
simpleR Using R for Introductory StatisticsJohn Verzaniy2e+05 20000 40000 60000 800004e+056e+058e+05120000160000page iPrefaceThese notes are an introduction to using the statistical software package R for an introductory statistics course. They
r-p - LIB - 0554
simpleR Using R for Introductory StatisticsJohn Verzaniy2e+05 20000 40000 60000 800004e+056e+058e+05120000160000page iPrefaceThese notes are an introduction to using the statistical software package R for an introductory statistics course. They