The Ramsey Model. Reading: Firms. Households. Behavior of Households and Firms. Romer, Chapter 2-A;
|
|
- Sheryl Atkins
- 6 years ago
- Views:
Transcription
1 Th Ramsy Modl Rading: Romr, Chaptr 2-A; Dvlopd by Ramsy (1928), latr dvlopd furthr by Cass (1965) and Koopmans (1965). Similar to th Solow modl: labor and knowldg grow at xognous rats. Important diffrnc: capital stock is dtrmind by optimization dcisions of housholds and firms. Firms Thr ar many idntical firms, ach with th sam production function Y FK,AL. Th production function displays th sam proprtis as bfor. Firms hir labor and capital in comptitiv markts. For simplicity, w assum thr is no dprciation of capital ( 0). ousholds idntical infinitly-livd housholds. Th siz of ach houshold grows at rat n. Each houshold mmbr supplis on unit of labor and rnts its capital to firms. oushold maximizs its lifitim utility: U t uct Lt t0 dt whr uct is th instantanous utility of ach mmbr of th houshold, of mmbrs of th houshold and is th discount rat. Assum constant rlativ risk avrsion (CRRA) utility function: uct Ct1 1 whr 0and n 1 g 0. Not: uc C 0 u C C 1 0 so that th cofficint of rlativ risk avrsion is : C u C uc Bhavior of ousholds and Firms C C1 C. Lt is th numbr Firms ar comptitiv and arn zro profits. Firms hir capital and labor and pay thm thir marginal products. Th ral intrst rat thn is:
2 Th ral wag is Wt FK,AL L rt fkt..sincy ALfk and k K/AL: Wt Afk Akfk Afkt ktfkt. Th wag pr unit of ffctiv labor thn is wt fkt ktfkt. ousholds Budgt Constraint ousholds tak r and w as givn. Th budgt constrain stipulats that th prsnt valu of consumption cannot xcd th sum of initial walth and prsnt valu of labor incom. Dfin t Rt rd 0 so that on unit of th good invstd at tim 0 is worth Rt units at tim t; Rt capturs th ffct of continuously compounding intrst ovr th priod 0,t. Similarly, on unit of output at som futur tim t is worth Rt units at tim 0. oushold budgt constraint thn is: Rt Ct Lt K0 dt t0 Rt Wt Lt t0 dt or K0 Rt Wt Ct Lt dt 0. t0 Th intgral can b rwrittn as a limit: K0 lim s s Rt Wt Lt Lt Ct dt 0. t0 ousholds capital stock at any tim s is Ks K0 Rs s RsRt Wt Ct Lt t0 dt, that is, houshold walth at any tim quals to th intrst-compoundd valu of its initial walth and its savings (positiv or ngativ). This can b rwrittn as Ks K0 Rs s Rt Wt Ct Lt t0 dt so that th houshold budgt constrain bcoms lim s Rs Ks 0. This implis that housholds cannot follow a path of consumption and invstmnt that would rsult in ngativ nt prsnt valu of walth (no-ponzi-gam condition).
3 ousholds Maximization Problm ousholds maximiz thir liftim utility subjct to th budgt constraint. All housholds ar idntical, thrfor all will choos th sam path of consumption and invstmnt. Dnot consumption pr unit of ffctiv labor ct so that Ct Atct (ach workr has A units of ffctiv labor) and Ct 1 1 oushold lif-tim utility function bcoms U t Ct 1 t0 1 t0 Atct1 1 A0gt 1 ct 1 1 A0 1 1gt ct 1 1. Lt dt t A0 1 1gt ct 1 1 A0 1 L0 B t0 t0 t ct 1 1 dt L0 nt dt t1gtnt ct 1 1 dt whr B A0 1 L0 and n 1 g. Not that w assumd to b positiv. Th budgt constraint, Rt Ct Lt K0 dt t0 Rt Wt Lt t0 dt can b rwrittn in trms of capital, consumption and wag pr ffctiv labor: Rt ct AtLt dt k0 A0L0 t0 Rt wt AtLt dt t0 Rt ct ngt A0L0 dt k0 A0L0 t0 Rt wt ngt A0L0 t0 t0 Rt ngt ctdt k0 Rt ngt wtdt. t0 Th limit vrsion of th budgt constraint can b also rwrittn lim s Rs Ks 0 lim s Rs ngs ks A0L0 0 lim s Rs ngs ks 0 dt
4 ousholds Bhavior ousholds choos th path of ct that maximizs thir liftim utility subjct to th budgt constraint. Bcaus additional consumption always incrass utility, u C 0, th budgt constraint will b mt as quality. Th Langrangan: B t0 t ct 1 1 dt k0 Rt wt ngt dt Rt ngt ctdt t0 t0 Th houshold chooss ct at any point in tim according to th following FOC: B t ct Rt ngt and according to th budgt constraint. Taking logs of th FOC: lnb t lnct ln Rt n gt Taking drivativs w.r.t. t or Substituting n 1 g lnb t lnct ln rd n gt. 0 ċt ct rt n g ċt ct rt n g. ċt ct rt g rt g Sinc Ct Atct, consumption pr workr grows at th rat of growth of ct plus th rat of growth of knowldg, g: Ċt Ct rt. nc, consumption pr workr grows if th intrst rat xcds th discount rat and falls othrwis. This quation is rfrrd to as th Eulr quation; it dscribs how ct volvs for any givn valu of c0. Th houshold chooss c0 so as to satisfy th budgt constraint: th prsnt valu of liftim consumption must qual th initial walth plus th prsnt valu of savings. Th Dynamics of th Economy Dynamics of c: Th Eulr quation can b rwrittn using rt fkt t
5 ċt fkt g. ct ċt 0 whn fkt g. Dnot th lvl of k for which this is th cas k. Consumption is incrsing for all k k and falling for k k. S Figur 2.1 in th book. Dynamics of k: Rcall that, as w drivd for th Solow modl, k t sfkt n gkt. r, assuming no dprciation and allowing savings to vary: k t fkt ct n gkt. For any k, k 0 whn c fk n gk. nc, k will rmain constant if consumption quals th diffrnc btwn output and brak-vn invstmnt. Th first trm is incrasing in k with diminishing rturns, th scond trm is linar in k. Thrfor, th lvl of consuption that kps k constant is hump-shapd in k and paks at such k for which fk n g (goldn-rul lvl of k). If consumption is lowr, k is incrasing, and vic vrsa. S Figur 2.2 in th book. Stady Stat: Th valu of k is givn by fk g. Th goldn-rul k is givn by fk GR n g. Byassumption n 1 g 0 or g n g. Thrfor, k k GR. Th lins charactrizing ċ 0andk 0 can b combind in a phas diagram. For vry k0 0, thr is a uniqu lvl of c that is consistnt with th houshold s intrtmporal optimization and will bring th conomy to th stady stat. Th st of all such combinations of c and k is rfrrd to as th saddl path. S Figurs in th book. Balancd Growth Path Solow and Ramsy modls display similar proprtis in quilibrium: (1) Capital, output and consumption pr unit of ffctiv labor ar constant. Th savings rat, yc y, is also constant (bcaus both y and c ar constant). (2) K, Y and total consumption growth at rat n g. (3) Capital pr workr, output pr workr and consumption pr workr grow at rat g. nc, th basic prdiction of th Solow modl ar rproducd also in th Ramsy modl: in th stady stat, th rat of growth of output pr workr is dtrmind ntirly by tchnological
6 progrss. Not, howvr, that th goldn-rul lvl of k will not b attaind in th Ramsy modl. In th Solow modl, th savings rat is xognous and thrfor any lvl of k, including th goldn-rul on, can constitut a stady stat. In th Ramsy modl, th quilibrium is such that k k GR. In th Ramsy modl, th savings rat is th outcom of housholds intrtmporal optimization rathr than bing xognous. Choosing k GR would lad to highr c, but sinc housholds discount futur consumption, this is not optimal. Fall in th Discount Rat Considr an conomy that is on th balancd growth path. Suppos th discount rat,, falls unxpctdly. Th discount rat only affcts th quation for consumption, ċt fk g. ct Th stady-stat capital is givn by fk g. If falls, this mans that that th nw k is highr than th original quilibrium. To bring th conomy on th saddl path, c must initially fall and thn ris gradually along th saddl path to th nw quilibrium. Onc th nw quilibrium is attaind, both k and c ar highr than in th original quilibrium. S Figur 2.6 in th book. Adjustmnt aftr changs in th discount rat is similar to changs in th savings rat in th Solow modl: growth acclrats during th transition to th nw quilibrium; onc th adjustmnt is compltd, all variabls grow at th sam rats as bfor. owvr, th savings rat is not constant during th transition in th Ramsy modl.
7 Govrnmnt Expnditur and Consumption Smoothing Considr impact of govrnmnt xpnditur and spcially of unanticipatd changs in govrnmnt xpnditur on th lif-tim path of consumption. Assum govrnmnt purchass and consums Gt pr unit of ffctiv labor. This xpnditur is financd by lump-sum tax also qual to Gt: th budgt is always balancd. Govrnmnt xpnditur dos not affct utility from privat consuption: govrnmnt spnding is pur wast, or it financs public goods that do not rplac privat consuption. Dynamics of capital: k t fkt ct Gt n gkt. Graphically, th introduction of govrnmnt spnding implis that th k 0 curv shifts down; th ċ 0 curv rmains unaffctd. Budgt constraint: Rt ngt ctdt k0 t0 Rt ngt wt Gtdt. t0 Th ffct of unanticipatd prmannt incras in Gt: Assum th conomy is in quilibrium. Gt incrass unxpctdly and th incras is prcivd to b prmannt. Th k 0 curv shifts down whil th ċ 0 curv rmains unaffctd. Consumption jumps immdiatly to th nw quilibrium. Th quilibrium k rmains th sam. Bcaus rt fkt th ral intrst rat dos not chang as a rsult of a prmannt incras in Gt. S Figur 2.8 in th book. Th ffct of unanticipatd tmporary incras in Gt: Th k 0 curv shifts down whil th ċ 0 curv rmains unaffctd, but th nw quilibrium is only sn as tmporary. Bcaus th instantanous utility is concav, housholds prfr to smooth consumption ovr tim. Thrfor, th fall in consumption will b only partial. Aftr th initial adjustmnt, consumption will gradually ris and k will fall, so as to bring th conomy onto th saddl path by th tim govrnmnt xpnditur falls again. Onc G rturns to th original lvl, th conomy convrgs along th saddl path back to th initial quilibrium. Th siz of th initial fall in c dpnds on th xpctd lngth of th incras in G. Aftr th incras in G, k first falls and thn incrass again. Thrfor, r first gradually incrass and thn gradually falls back to th original lvl. S Figur 2.9 in th book. nc, th intrst rat should only rspond to tmporary incrass in G but not to prmannt ons.
8 Barro (JME 1987) tsts this proposition using intrst rats and war-rlatd military xpnditur in th UK ovr th priod 1729 to 1918, and finds vidnc consistnt with th thortical prdiction.
dr Bartłomiej Rokicki Chair of Macroeconomics and International Trade Theory Faculty of Economic Sciences, University of Warsaw
dr Bartłomij Rokicki Chair of Macroconomics and Intrnational Trad Thory Faculty of Economic Scincs, Univrsity of Warsaw dr Bartłomij Rokicki Opn Economy Macroconomics Small opn conomy. Main assumptions
More information4. Money cannot be neutral in the short-run the neutrality of money is exclusively a medium run phenomenon.
PART I TRUE/FALSE/UNCERTAIN (5 points ach) 1. Lik xpansionary montary policy, xpansionary fiscal policy rturns output in th mdium run to its natural lvl, and incrass prics. Thrfor, fiscal policy is also
More information22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.
Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M
More informationChapter 13 Aggregate Supply
Chaptr 13 Aggrgat Supply 0 1 Larning Objctivs thr modls of aggrgat supply in which output dpnds positivly on th pric lvl in th short run th short-run tradoff btwn inflation and unmploymnt known as th Phillips
More informationThe Open Economy in the Short Run
Economics 442 Mnzi D. Chinn Spring 208 Social Scincs 748 Univrsity of Wisconsin-Madison Th Opn Economy in th Short Run This st of nots outlins th IS-LM modl of th opn conomy. First, it covrs an accounting
More informationMath 34A. Final Review
Math A Final Rviw 1) Us th graph of y10 to find approimat valus: a) 50 0. b) y (0.65) solution for part a) first writ an quation: 50 0. now tak th logarithm of both sids: log() log(50 0. ) pand th right
More informationDiploma Macro Paper 2
Diploma Macro Papr 2 Montary Macroconomics Lctur 6 Aggrgat supply and putting AD and AS togthr Mark Hays 1 Exognous: M, G, T, i*, π Goods markt KX and IS (Y, C, I) Mony markt (LM) (i, Y) Labour markt (P,
More informationExchange rates in the long run (Purchasing Power Parity: PPP)
Exchang rats in th long run (Purchasing Powr Parity: PPP) Jan J. Michalk JJ Michalk Th law of on pric: i for a product i; P i = E N/ * P i Or quivalntly: E N/ = P i / P i Ida: Th sam product should hav
More informationSec 2.3 Modeling with First Order Equations
Sc.3 Modling with First Ordr Equations Mathmatical modls charactriz physical systms, oftn using diffrntial quations. Modl Construction: Translating physical situation into mathmatical trms. Clarly stat
More informationChapter 14 Aggregate Supply and the Short-run Tradeoff Between Inflation and Unemployment
Chaptr 14 Aggrgat Supply and th Short-run Tradoff Btwn Inflation and Unmploymnt Modifid by Yun Wang Eco 3203 Intrmdiat Macroconomics Florida Intrnational Univrsity Summr 2017 2016 Worth Publishrs, all
More informationInflation and Unemployment
C H A P T E R 13 Aggrgat Supply and th Short-run Tradoff Btwn Inflation and Unmploymnt MACROECONOMICS SIXTH EDITION N. GREGORY MANKIW PowrPoint Slids by Ron Cronovich 2008 Worth Publishrs, all rights rsrvd
More information2008 AP Calculus BC Multiple Choice Exam
008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl
More information1973 AP Calculus AB: Section I
97 AP Calculus AB: Sction I 9 Minuts No Calculator Not: In this amination, ln dnots th natural logarithm of (that is, logarithm to th bas ).. ( ) d= + C 6 + C + C + C + C. If f ( ) = + + + and ( ), g=
More informationThe Matrix Exponential
Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!
More informationThe Matrix Exponential
Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!
More informationA Propagating Wave Packet Group Velocity Dispersion
Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to
More informationMEASURING ECONOMIC IMPACT OF A DISASTER WITHOUT DOUBLE COUNTING: A THEORETICAL ANALYSIS
MEASURING ECONOMIC IMPACT OF A DISASTER WITHOUT DOUBLE COUNTING: A THEORETICAL ANALYSIS ABSTRACT : H. Tatano and K. Nakano Profssor, Disastr Prvntion Rsarch Institut, Kyoto Univrsity, Uji. Japan Ph.D Candidat,
More informationSupplementary Materials
6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic
More informationare given in the table below. t (hours)
CALCULUS WORKSHEET ON INTEGRATION WITH DATA Work th following on notbook papr. Giv dcimal answrs corrct to thr dcimal placs.. A tank contains gallons of oil at tim t = hours. Oil is bing pumpd into th
More informationIntermediate Macroeconomics: New Keynesian Model
Intrmdiat Macroconomics: Nw Kynsian Modl Eric Sims Univrsity of Notr Dam Fall 23 Introduction Among mainstram acadmic conomists and policymakrs, th lading altrnativ to th ral businss cycl thory is th Nw
More informationTwo Products Manufacturer s Production Decisions with Carbon Constraint
Managmnt Scinc and Enginring Vol 7 No 3 pp 3-34 DOI:3968/jms9335X374 ISSN 93-34 [Print] ISSN 93-35X [Onlin] wwwcscanadant wwwcscanadaorg Two Products Manufacturr s Production Dcisions with Carbon Constraint
More informationWhere k is either given or determined from the data and c is an arbitrary constant.
Exponntial growth and dcay applications W wish to solv an quation that has a drivativ. dy ky k > dx This quation says that th rat of chang of th function is proportional to th function. Th solution is
More informationBifurcation Theory. , a stationary point, depends on the value of α. At certain values
Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local
More informationVALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES
VALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES Changi Kim* * Dr. Changi Kim is Lcturr at Actuarial Studis Faculty of Commrc & Economics Th Univrsity of Nw South Wals Sydny NSW 2052 Australia.
More informationy = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b)
4. y = y = + 5. Find th quation of th tangnt lin for th function y = ( + ) 3 whn = 0. solution: First not that whn = 0, y = (1 + 1) 3 = 8, so th lin gos through (0, 8) and thrfor its y-intrcpt is 8. y
More information6.1 Integration by Parts and Present Value. Copyright Cengage Learning. All rights reserved.
6.1 Intgration by Parts and Prsnt Valu Copyright Cngag Larning. All rights rsrvd. Warm-Up: Find f () 1. F() = ln(+1). F() = 3 3. F() =. F() = ln ( 1) 5. F() = 6. F() = - Objctivs, Day #1 Studnts will b
More informationHigher order derivatives
Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of
More informationThe van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012
Th van dr Waals intraction D. E. Sopr 2 Univrsity of Orgon 20 pril 202 Th van dr Waals intraction is discussd in Chaptr 5 of J. J. Sakurai, Modrn Quantum Mchanics. Hr I tak a look at it in a littl mor
More informationThings I Should Know Before I Get to Calculus Class
Things I Should Know Bfor I Gt to Calculus Class Quadratic Formula = b± b 4ac a sin + cos = + tan = sc + cot = csc sin( ± y ) = sin cos y ± cos sin y cos( + y ) = cos cos y sin sin y cos( y ) = cos cos
More informationSearch sequence databases 3 10/25/2016
Sarch squnc databass 3 10/25/2016 Etrm valu distribution Ø Suppos X is a random variabl with probability dnsity function p(, w sampl a larg numbr S of indpndnt valus of X from this distribution for an
More information15. Stress-Strain behavior of soils
15. Strss-Strain bhavior of soils Sand bhavior Usually shard undr draind conditions (rlativly high prmability mans xcss por prssurs ar not gnratd). Paramtrs govrning sand bhaviour is: Rlativ dnsity Effctiv
More informationa 1and x is any real number.
Calcls Nots Eponnts an Logarithms Eponntial Fnction: Has th form y a, whr a 0, a an is any ral nmbr. Graph y, Graph y ln y y Th Natral Bas (Elr s nmbr): An irrational nmbr, symboliz by th lttr, appars
More informationWhat are those βs anyway? Understanding Design Matrix & Odds ratios
Ral paramtr stimat WILD 750 - Wildlif Population Analysis of 6 What ar thos βs anyway? Undrsting Dsign Matrix & Odds ratios Rfrncs Hosmr D.W.. Lmshow. 000. Applid logistic rgrssion. John Wily & ons Inc.
More informationChapter 10. The singular integral Introducing S(n) and J(n)
Chaptr Th singular intgral Our aim in this chaptr is to rplac th functions S (n) and J (n) by mor convnint xprssions; ths will b calld th singular sris S(n) and th singular intgral J(n). This will b don
More informationBrief Introduction to Statistical Mechanics
Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.
More information1997 AP Calculus AB: Section I, Part A
997 AP Calculus AB: Sction I, Part A 50 Minuts No Calculator Not: Unlss othrwis spcifid, th domain of a function f is assumd to b th st of all ral numbrs for which f () is a ral numbr.. (4 6 ) d= 4 6 6
More information11/11/2018. Chapter 14 8 th and 9 th edition. Aggregate Supply and the Short-run Tradeoff Between Inflation and Unemployment.
Chaptr 14 8 th and 9 th dition Aggrgat Supply and th Short-run Tradoff Btwn Inflation and Unmploymnt W covr modls of aggrgat supply in which output dpnds positivly on th pric lvl in th short run. th short-run
More information2. Laser physics - basics
. Lasr physics - basics Spontanous and stimulatd procsss Einstin A and B cofficints Rat quation analysis Gain saturation What is a lasr? LASER: Light Amplification by Stimulatd Emission of Radiation "light"
More informationCOMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH.
C:\Dallas\0_Courss\03A_OpSci_67\0 Cgh_Book\0_athmaticalPrliminaris\0_0 Combath.doc of 8 COPUTER GENERATED HOLOGRAS Optical Scincs 67 W.J. Dallas (onday, April 04, 005, 8:35 A) PART I: CHAPTER TWO COB ATH
More informationFourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.
Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform
More informationHydrogen Atom and One Electron Ions
Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial
More information2F1120 Spektrala transformer för Media Solutions to Steiglitz, Chapter 1
F110 Spktrala transformr för Mdia Solutions to Stiglitz, Chaptr 1 Prfac This documnt contains solutions to slctd problms from Kn Stiglitz s book: A Digital Signal Procssing Primr publishd by Addison-Wsly.
More informationr m r m 1 r m 2 y 1 y 2
An Explanation (Using th ISLM Modl) of How Volatilit in Expctations About th Profitabilit of Futur Invstmnt Projcts Can Mak Aggrgat Dmand Itslf Volatil. Th ISLM modl is a combination of two conomic modls;
More informationcycle that does not cross any edges (including its own), then it has at least
W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th
More information+ f. e f. Ch. 8 Inflation, Interest Rates & FX Rates. Purchasing Power Parity. Purchasing Power Parity
Ch. 8 Inlation, Intrst Rats & FX Rats Topics Purchasing Powr Parity Intrnational Fishr Ect Purchasing Powr Parity Purchasing Powr Parity (PPP: Th purchasing powr o a consumr will b similar whn purchasing
More informationPHA 5127 Answers Homework 2 Fall 2001
PH 5127 nswrs Homwork 2 Fall 2001 OK, bfor you rad th answrs, many of you spnt a lot of tim on this homwork. Plas, nxt tim if you hav qustions plas com talk/ask us. Thr is no nd to suffr (wll a littl suffring
More informationInheritance Gains in Notional Defined Contributions Accounts (NDCs)
Company LOGO Actuarial Tachrs and Rsarchrs Confrnc Oxford 14-15 th July 211 Inhritanc Gains in Notional Dfind Contributions Accounts (NDCs) by Motivation of this papr In Financial Dfind Contribution (FDC)
More informationEconomics 201b Spring 2010 Solutions to Problem Set 3 John Zhu
Economics 20b Spring 200 Solutions to Problm St 3 John Zhu. Not in th 200 vrsion of Profssor Andrson s ctur 4 Nots, th charactrization of th firm in a Robinson Cruso conomy is that it maximizs profit ovr
More informationAppendices * for. R&D Policies, Endogenous Growth and Scale Effects
Appndics * for R&D Policis, Endognous Growth and Scal Effcts by Fuat Snr (Union Collg) Working Papr Fbruary 2007 * Not to b considrd for publication. To b mad availabl on th author s wb sit and also upon
More informationECON 582: The Neoclassical Growth Model (Chapter 8, Acemoglu)
ECON 582: The Neoclassical Growth Model (Chapter 8, Acemoglu) Instructor: Dmytro Hryshko 1 / 21 Consider the neoclassical economy without population growth and technological progress. The optimal growth
More informationAddition of angular momentum
Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat
More informationPartial Derivatives: Suppose that z = f(x, y) is a function of two variables.
Chaptr Functions o Two Variabls Applid Calculus 61 Sction : Calculus o Functions o Two Variabls Now that ou hav som amiliarit with unctions o two variabls it s tim to start appling calculus to hlp us solv
More informationSECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.
SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain
More information(1) Then we could wave our hands over this and it would become:
MAT* K285 Spring 28 Anthony Bnoit 4/17/28 Wk 12: Laplac Tranform Rading: Kohlr & Johnon, Chaptr 5 to p. 35 HW: 5.1: 3, 7, 1*, 19 5.2: 1, 5*, 13*, 19, 45* 5.3: 1, 11*, 19 * Pla writ-up th problm natly and
More informationCh. 24 Molecular Reaction Dynamics 1. Collision Theory
Ch. 4 Molcular Raction Dynamics 1. Collision Thory Lctur 16. Diffusion-Controlld Raction 3. Th Matrial Balanc Equation 4. Transition Stat Thory: Th Eyring Equation 5. Transition Stat Thory: Thrmodynamic
More informationRandom Process Part 1
Random Procss Part A random procss t (, ζ is a signal or wavform in tim. t : tim ζ : outcom in th sampl spac Each tim w rapat th xprimnt, a nw wavform is gnratd. ( W will adopt t for short. Tim sampls
More informationThe pn junction: 2 Current vs Voltage (IV) characteristics
Th pn junction: Currnt vs Voltag (V) charactristics Considr a pn junction in quilibrium with no applid xtrnal voltag: o th V E F E F V p-typ Dpltion rgion n-typ Elctron movmnt across th junction: 1. n
More informationCalculus II (MAC )
Calculus II (MAC232-2) Tst 2 (25/6/25) Nam (PRINT): Plas show your work. An answr with no work rcivs no crdit. You may us th back of a pag if you nd mor spac for a problm. You may not us any calculators.
More informationMarket power, Growth and Unemployment
Markt powr, Growth and Unmploymnt Pitro F Prtto Dpartmnt of Economics, Duk Univrsity Jun 13, 2011 Abstract I prsnt a modl whr firms and workrs st wags abov th markt-claring lvl Unmploymnt is thus gnratd
More informationEXST Regression Techniques Page 1
EXST704 - Rgrssion Tchniqus Pag 1 Masurmnt rrors in X W hav assumd that all variation is in Y. Masurmnt rror in this variabl will not ffct th rsults, as long as thy ar uncorrlatd and unbiasd, sinc thy
More informationAddition of angular momentum
Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th
More informationCOHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.
MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function
More informationCoupled Pendulums. Two normal modes.
Tim Dpndnt Two Stat Problm Coupld Pndulums Wak spring Two normal mods. No friction. No air rsistanc. Prfct Spring Start Swinging Som tim latr - swings with full amplitud. stationary M +n L M +m Elctron
More informationCramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter
WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)
More informationAdditional Math (4047) Paper 2 (100 marks) y x. 2 d. d d
Aitional Math (07) Prpar b Mr Ang, Nov 07 Fin th valu of th constant k for which is a solution of th quation k. [7] Givn that, Givn that k, Thrfor, k Topic : Papr (00 marks) Tim : hours 0 mins Nam : Aitional
More informationLinear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let
It is impossibl to dsign an IIR transfr function with an xact linar-phas It is always possibl to dsign an FIR transfr function with an xact linar-phas rspons W now dvlop th forms of th linarphas FIR transfr
More informationA Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction
Int. J. Opn Problms Compt. Math., Vol., o., Jun 008 A Pry-Prdator Modl with an Altrnativ Food for th Prdator, Harvsting of Both th Spcis and with A Gstation Priod for Intraction K. L. arayan and. CH. P.
More informationFirst order differential equation Linear equation; Method of integrating factors
First orr iffrntial quation Linar quation; Mtho of intgrating factors Exampl 1: Rwrit th lft han si as th rivativ of th prouct of y an som function by prouct rul irctly. Solving th first orr iffrntial
More informationForces. Quantum ElectroDynamics. α = = We have now:
W hav now: Forcs Considrd th gnral proprtis of forcs mdiatd by xchang (Yukawa potntial); Examind consrvation laws which ar obyd by (som) forcs. W will nxt look at thr forcs in mor dtail: Elctromagntic
More informationWeek 3: Connected Subgraphs
Wk 3: Connctd Subgraphs Sptmbr 19, 2016 1 Connctd Graphs Path, Distanc: A path from a vrtx x to a vrtx y in a graph G is rfrrd to an xy-path. Lt X, Y V (G). An (X, Y )-path is an xy-path with x X and y
More informationDifferential Equations
Prfac Hr ar m onlin nots for m diffrntial quations cours that I tach hr at Lamar Univrsit. Dspit th fact that ths ar m class nots, th should b accssibl to anon wanting to larn how to solv diffrntial quations
More informationIntroduction - the economics of incomplete information
Introdction - th conomics of incomplt information Backgrond: Noclassical thory of labor spply: No nmploymnt, individals ithr mployd or nonparticipants. Altrnativs: Job sarch Workrs hav incomplt info on
More informationas a derivative. 7. [3.3] On Earth, you can easily shoot a paper clip straight up into the air with a rubber band. In t sec
MATH6 Fall 8 MIDTERM II PRACTICE QUESTIONS PART I. + if
More informationChemical Physics II. More Stat. Thermo Kinetics Protein Folding...
Chmical Physics II Mor Stat. Thrmo Kintics Protin Folding... http://www.nmc.ctc.com/imags/projct/proj15thumb.jpg http://nuclarwaponarchiv.org/usa/tsts/ukgrabl2.jpg http://www.photolib.noaa.gov/corps/imags/big/corp1417.jpg
More informationLecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields
Lctur 37 (Schrödingr Equation) Physics 6-01 Spring 018 Douglas Filds Rducd Mass OK, so th Bohr modl of th atom givs nrgy lvls: E n 1 k m n 4 But, this has on problm it was dvlopd assuming th acclration
More informationBrief Notes on the Fermi-Dirac and Bose-Einstein Distributions, Bose-Einstein Condensates and Degenerate Fermi Gases Last Update: 28 th December 2008
Brif ots on th Frmi-Dirac and Bos-Einstin Distributions, Bos-Einstin Condnsats and Dgnrat Frmi Gass Last Updat: 8 th Dcmbr 8 (A)Basics of Statistical Thrmodynamics Th Gibbs Factor A systm is assumd to
More informationFirst derivative analysis
Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points
More informationMA 262, Spring 2018, Final exam Version 01 (Green)
MA 262, Spring 218, Final xam Vrsion 1 (Grn) INSTRUCTIONS 1. Switch off your phon upon ntring th xam room. 2. Do not opn th xam booklt until you ar instructd to do so. 3. Bfor you opn th booklt, fill in
More informationPHYSICS 489/1489 LECTURE 7: QUANTUM ELECTRODYNAMICS
PHYSICS 489/489 LECTURE 7: QUANTUM ELECTRODYNAMICS REMINDER Problm st du today 700 in Box F TODAY: W invstigatd th Dirac quation it dscribs a rlativistic spin /2 particl implis th xistnc of antiparticl
More information5.80 Small-Molecule Spectroscopy and Dynamics
MIT OpnCoursWar http://ocw.mit.du 5.80 Small-Molcul Spctroscopy and Dynamics Fall 008 For information about citing ths matrials or our Trms of Us, visit: http://ocw.mit.du/trms. Lctur # 3 Supplmnt Contnts
More informationChapter 1. Chapter 10. Chapter 2. Chapter 11. Chapter 3. Chapter 12. Chapter 4. Chapter 13. Chapter 5. Chapter 14. Chapter 6. Chapter 7.
Chaptr Binomial Epansion Chaptr 0 Furthr Probability Chaptr Limits and Drivativs Chaptr Discrt Random Variabls Chaptr Diffrntiation Chaptr Discrt Probability Distributions Chaptr Applications of Diffrntiation
More information1.2 Faraday s law A changing magnetic field induces an electric field. Their relation is given by:
Elctromagntic Induction. Lorntz forc on moving charg Point charg moving at vlocity v, F qv B () For a sction of lctric currnt I in a thin wir dl is Idl, th forc is df Idl B () Elctromotiv forc f s any
More informationCPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming
CPSC 665 : An Algorithmist s Toolkit Lctur 4 : 21 Jan 2015 Lcturr: Sushant Sachdva Linar Programming Scrib: Rasmus Kyng 1. Introduction An optimization problm rquirs us to find th minimum or maximum) of
More informationDerangements and Applications
2 3 47 6 23 Journal of Intgr Squncs, Vol. 6 (2003), Articl 03..2 Drangmnts and Applications Mhdi Hassani Dpartmnt of Mathmatics Institut for Advancd Studis in Basic Scincs Zanjan, Iran mhassani@iasbs.ac.ir
More informationProblem Set 6 Solutions
6.04/18.06J Mathmatics for Computr Scinc March 15, 005 Srini Dvadas and Eric Lhman Problm St 6 Solutions Du: Monday, March 8 at 9 PM in Room 3-044 Problm 1. Sammy th Shark is a financial srvic providr
More informationHomework #3. 1 x. dx. It therefore follows that a sum of the
Danil Cannon CS 62 / Luan March 5, 2009 Homwork # 1. Th natural logarithm is dfind by ln n = n 1 dx. It thrfor follows that a sum of th 1 x sam addnd ovr th sam intrval should b both asymptotically uppr-
More informationLINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM
Elctronic Journal of Diffrntial Equations, Vol. 2003(2003), No. 92, pp. 1 6. ISSN: 1072-6691. URL: http://jd.math.swt.du or http://jd.math.unt.du ftp jd.math.swt.du (login: ftp) LINEAR DELAY DIFFERENTIAL
More informationEinstein Equations for Tetrad Fields
Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for
More informationExercise 1. Sketch the graph of the following function. (x 2
Writtn tst: Fbruary 9th, 06 Exrcis. Sktch th graph of th following function fx = x + x, spcifying: domain, possibl asymptots, monotonicity, continuity, local and global maxima or minima, and non-drivability
More informationProbability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.
Probability and Stochastic Procsss: A Frindly Introduction for Elctrical and Computr Enginrs Roy D. Yats and David J. Goodman Problm Solutions : Yats and Goodman,4.3. 4.3.4 4.3. 4.4. 4.4.4 4.4.6 4.. 4..7
More informationEEO 401 Digital Signal Processing Prof. Mark Fowler
EEO 401 Digital Signal Procssing Prof. Mark Fowlr Dtails of th ot St #19 Rading Assignmnt: Sct. 7.1.2, 7.1.3, & 7.2 of Proakis & Manolakis Dfinition of th So Givn signal data points x[n] for n = 0,, -1
More informationWhat case should you bring to court to alter precedent in your favour - a strong or a weak case?
What cas should you bring to court to altr prcdnt in your favour - a strong or a wak cas? Hnrik Borchgrvink Dpartmnt of conomics, Univrsity of Oslo, PB 95 Blindrn, 37 Oslo, Norway Sptmbr, 9 Abstract Taking
More informationEstimation of apparent fraction defective: A mathematical approach
Availabl onlin at www.plagiarsarchlibrary.com Plagia Rsarch Library Advancs in Applid Scinc Rsarch, 011, (): 84-89 ISSN: 0976-8610 CODEN (USA): AASRFC Estimation of apparnt fraction dfctiv: A mathmatical
More informationu x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula
7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting
More informationATMO 551a Homework 6 solutions Fall 08
. A rising air parcl in th cor of a thundrstorm achivs a vrtical vlocity of 8 m/s similar to th midtrm whn it rachs a nutral buoyancy altitud at approximatly 2 km and 2 mb. Assum th background atmosphr
More information1 General boundary conditions in diffusion
Gnral boundary conditions in diffusion Πρόβλημα 4.8 : Δίνεται μονοδιάτατη πλάκα πάχους, που το ένα άκρο της κρατιέται ε θερμοκραία T t και το άλλο ε θερμοκραία T 2 t. Αν η αρχική θερμοκραία της πλάκας
More informationDiscussion Paper Series
Discussion Papr Sris CDP No 08/07 Illgal igration Enforcmnt and inimum Wag Gil S. Epstin and Odlia Hizlr Cntr for Rsarch and Analysis of igration Dpartmnt of Economics Univrsity Collg ondon Drayton Hous
More informationContemporary, atomic, nuclear, and particle physics
Contmporary, atomic, nuclar, and particl physics 1 Blackbody radiation as a thrmal quilibrium condition (in vacuum this is th only hat loss) Exampl-1 black plan surfac at a constant high tmpratur T h is
More informationEngineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12
Enginring Bautiful HW #1 Pag 1 of 6 5.1 Two componnts of a minicomputr hav th following joint pdf for thir usful liftims X and Y: = x(1+ x and y othrwis a. What is th probability that th liftim X of th
More informationdy 1. If fx ( ) is continuous at x = 3, then 13. If y x ) for x 0, then f (g(x)) = g (f (x)) when x = a. ½ b. ½ c. 1 b. 4x a. 3 b. 3 c.
AP CALCULUS BC SUMMER ASSIGNMENT DO NOT SHOW YOUR WORK ON THIS! Complt ts problms during t last two wks of August. SHOW ALL WORK. Know ow to do ALL of ts problms, so do tm wll. Itms markd wit a * dnot
More information