Globalization and Synchronization of Innovation Cycles

Size: px
Start display at page:

Download "Globalization and Synchronization of Innovation Cycles"

Transcription

1 Globalizaion and Synchronizaion of Innovaion Cycles By Kiminori Masuyama, Norhwesern Universiy, USA Iryna Sushko, Insiue of Mahemaics, Naional Academy of Science of Ukraine Laura Gardini, Universiy of Urbino, Ialy Yale Macro Lunch November, 05 Page of 5

2 Inroducion Page of 5

3 Theoreical Moivaion: How does globalizaion affec macro co-movemens across counries? Mos economiss address his quesion by assuming ha some exogenous processes drive produciviy movemens in each counry. Bu, globalizaion (a rade cos reducion) can affec o produciviy growh raes, as already shown by endogenous growh models o synchroniciy of produciviy flucuaions, as we show in an endogenous cycle model Empirical Moivaion: Counries ha rade more wih each oher have more synchronized business cycles o Paricularly among developed counries (EU, OECD, ec) o No so beween developed and developing counries Difficul o explain his rade-comovemen puzzle in models wih exogenous shocks o Common shocks would cause synchronizaion regardless of he rade inensiy o Wih counry-specific shocks, more rade lead o less synchronizaion o Aemps o resolve i by global supply chains me limied success; also awkward Easier in models of endogenous flucuaions. No need o appeal o global supply chains Page 3 of 5

4 Inuiion We Wan o Capure o Two srucurally idenical counries o Each counry (in auarky) is subjec o endogenous flucuaions, due o sraegic complemenariies in he iming of innovaion among firms compeing in he same marke o Wihou rade, flucuaions in he wo counries are obviously disconneced. o Trade inegraion makes firms based in differen counries compee agains each oher and respond o an increasingly global (hence common) marke environmen. o Sraegic complemenariies in he iming of innovaion across counries o Even wih parial inegraion, his causes an alignmen of innovaion incenives, synchronizing innovaion aciviies and produciviy flucuaions across counries Wha We Do To capure his inuiion in a simples manner, we develop a -counry model of endogenous innovaion cycles wih wo building blocks Judd (985; sec.4), also Deneckere & Judd (99), for endogenous innovaion cycles Unique equilibrium pah exhibis flucuaion; which can be obained by ieraing a Dnoninverible PWL map, commonly called a skew-en map Helpman & Krugman (985; ch.0) for inra-indusry rade wih iceberg rade cos, which is used as a coupling parameer. Concepually, his is a sudy of Synchronizaion of (Weakly) Coupled Oscillaors Page 4 of 5

5 Synchronizaion of (Weakly) Coupled Oscillaors Naural Science: A Major Topic. Thousands of examples: Jus o name a few, Chrisiaan Huygens pendulum clocks The Moon s roaion and revoluion London Millennium Bridge Also, search videos Synchronizaion of Meronomes on Youube! Bu, we canno use he exising sudies of coupled skew-en maps. Wihou microfoundaions, we canno give srucural inerpreaion o heir synchronizing forces nor coupling parameers. Subjec o he Lucas criique. In GE, innovaion incenive migh change wih rade. Economics: None? To he bes of our knowledge, his is Firs -counry, dynamic GE model of endogenous flucuaions Our companion piece, Inerdependen Innovaion Cycles o Two-secor, closed economy o Each secor produces a Dixi-Sigliz composie, as in DJ o CES preferences over he wo composies o Flucuaions in he wo secors are decoupled for Cobb-Douglas o Synchronized (asynchronized) if EoS increases (decreases) from one. Page 5 of 5

6 The Two Building Blocks Page 6 of 5

7 Judd (985); Dynamic Dixi-Sigliz monopolisic compeiive model; Innovaors pay fixed cos o inroduce a new (horizonally differeniaed) variey Judd (985; Sec.); They keep heir monopoly power. Unique seady sae globally sable due o ineremporal smoohing of innovaion aciviies Main Quesion: Wha if hey have monopoly for a limied ime? o Each variey sold iniially a monopoly price; laer a compeiive price o Impac of an innovaion, iniially mued, reach is full poenial wih a delay o Pas innovaion discourages innovaors more han conemporaneous innovaion o Temporal clusering of innovaion, leading o aggregae flucuaions Judd (985; Sec.3); Coninuous ime and monopoly lasing for 0 < T < o Delayed differenial equaion wih an infinie D sae space o For T > Tc > 0, he economy oscillaes beween he phases of acive innovaion and of no innovaion along any equilibrium pah for almos all iniial condiions. Judd (985; Sec.4); also Deneckere & Judd (99; DJ for shor) o Discree ime and one period monopoly for analyical racabiliy o D sae space (he measure of compeiive varieies inheried from pas innovaion deermines how sauraed he marke is) o Unique equilibrium pah generaed by a D PWL noninverible (i.e., skew-en) map o When he unique seady sae is unsable, converging o a -cycle or o a chaoic aracor from almos all iniial condiions. Page 7 of 5

8 Deneckere-Judd (DJ) in a Nushell n : (Measure of) compeiive varieies inheried per labor supply Noninverible PWL (Skew Ten) map n f ( n ) f f L H ( n ( n ) ) ( ) n n if if n n 45º (0,), Survival rae of varieies due o obsolescence (or exogenous labor supply growh) (, e), increasing in σ (EoS) Marke share of a compeiive variey relaive o a monopolisic variey > 0: he delayed impac of innovaions O Acive Innovaion No Innovaion Page 8 of 5

9 A Unique Aracor: Sable seady sae for Sable -cycle for Robus chaoic aracor (of various ypes) for Effecs of a higher δ Page 9 of 5

10 Bifurcaion diagram in he (σ, δ)-plane and is magnificaion Endogenous flucuaions wih a higher σ (more subsiuable, srong incenive o avoid compeiion) a higher δ (more pas innovaion survives o crowd ou curren innovaion). We focus on he sable -cycle case,. Page 0 of 5

11 Helpman & Krugman (985; Ch.0): Trade in horizonally differeniaed (Dixi-Sigliz) goods wih iceberg rade coss beween wo srucurally idenical counries; only heir sizes may be differen. In auarky, he number of firms based in each counry is proporional o is size. As rade coss fall, o Differeniaed goods produced in he wo counries muually penerae each oher s home markes (Two-way flows of goods). o Firm disribuion becomes increasingly skewed oward he larger counry (Home Marke Effec and is Magnificaion) Two Parameers: s & s s [/,) : Bigger counry s share in marke size sn s [0,) : Degree of Globalizaion: inversely relaed o he iceberg cos, / s n : Bigger counry s share in firm disribuion O s/s ρ Page of 5

12 A Two-Counry Model of Endogenous Innovaion Cycles Page of 5

13 Our Main Resuls: By combining DJ (99) and HK (985): D sae space: (Measures of compeiive varieies in he wo counries) Unique equilibrium pah obained by ieraing a D-PWS, noninverible map wih four parameers: θ & δ & s & One uni of compeiive varieies = θ (> ) unis of monopolisic varieies One uni of foreign varieies = ρ (< ) uni of domesic varieies In auarky (ρ = 0), he dynamics of he wo are decoupled. Wheher hey converge o synchronized or asynchronized -cycles depends on how you draw he iniial condiion As rade coss fall (a higher ρ), hey become more synchronized: o Basin of aracion for asynchronized -cycles shrinks and disappears o Basin of aracion for synchronized -cycles expands. Full synchronizaion occurs wih parial rade inegraion (i.e., ρ < ) o Fully synchronized a a larger rade cos if counry sizes are more unequal o Even a small size difference speeds up synchronizaion significanly o The larger counry ses he empo of global innovaion cycles, wih he smaller counry adjusing is rhyhm Page 3 of 5

14 D Dynamical Sysem; n F( n ) n (0 < δ < ; < θ < e; 0 ρ < ; / s < ) R wih, n s ( ) ( ) n n s ( ) ( ) n if D n n n n if D n n n h ( n ) ( ) n if n h ( n ) ( ) n n n if n n ; n n, n LL n n, n HH R n j s j ( ) R n j h j ( nk n n n D HL ), R n s( ); n h ( n ) n n n D LH s s where s ( ) s( ) min,, 0.5 s s ; s j sk h j ( n k ) 0 defined implicily by. h ( n ) n h ( n ) n / j k k j k, R n h ( n ); n s ( ) k Page 4 of 5

15 Sae Space & Four Domains for he Symmeric Case: s / s 0 (ρ = 0) (ρ = ) Innovaion Acive in D LH DHH No Innovaion (ρ = 0) Innovaion Acive in Boh D LL DHL O Innovaion Acive in (ρ = ) Page 5 of 5

16 Sae Space & Four Domains for he Asymmeric Case: s / s 0 Innovaion Acive in DHH No Innovaion DLH Innovaion Acive in Boh O DLL D HL Innovaion Acive in Page 6 of 5

17 Synchronized vs. Asynchronized -Cycles in Auarky: 0 As a D-map, his sysem has * An unsable seady sae; n,n A pair of sable -cycles * * * * o Synchronized; n L, nl n H, nh, Basin of Aracion in red. * * * * o Asynchronized; n L, nh n H, nl, Basin of Aracion in whie A pair of saddle -cycles: * * * * * * n, n n n n n * * L H, ;, H n, nl * Kiminori Masuyama, Globalizaion and Synchronizaion of Innovaion ;, Page 7 of 5

18 Symmeric Synchronized & Asynchronized -Cycles: s 0. 5;. 5; Red (Sync. -cycle) becomes dominan. Sym. Async. -cycle becomes a node a ρ =.87867, a saddle a ρ = Page 8 of 5

19 Asymmeric Synchronized & Asynchronized -Cycles s 0. 7,. 5; By ρ =.65, infiniely many Red islands appear inside Whie. By ρ =.9, he sable asynchronized -cycle collides wih is basin boundary and disappears, leaving he Synchronized -cycle as he unique aracor. Page 9 of 5

20 A Smaller Reducion in Trade Coss Synchronizes Innovaion Cycles wih Counry Size Asymmeries Criical Value of ρc a which he Sable Asynchronized -cycle disappears (as a funcion of s ) I declines very rapidly as s increases from 0.5. I hardly changes wih δ. Page 0 of 5

21 Four Basins ofaracion ( s 0. 7,. 5, 0. 75) Kiminori Masuyama, Globalizaion and Synchronizaion of Innovaion As ρ rises, Red invades Whie, and Azure invades Gray, and verical slips of Red and Azure emerge. Page of 5

22 Three Effecs of Globalizaion: Home Marke Effec Produciviy Gains Synchronizaion Page of 5

23 Concluding Remarks Page 3 of 5

24 Summary: s aemp o explain why globalizaion migh synchronize endogenous produciviy flucuaions Key Mechanism: Globalizaion Innovaors from everywhere compeing agains each oher in more inegraed (hence common) marke Alignmen of Incenives o Innovae Synchronizaion Capured in a -counry model of endogenous innovaion cycles, buil on DJ and HK o In auarky, innovaion dynamics of he wo counries are decoupled. o As rade cos falls and inra-indusry rade rise, hey become more synchronized. o Full synchronizaion a a larger rade cos wih more unequal counry sizes. o The smaller counry adjuss is rhyhm o he rhyhm of he bigger counry. Adding endogenous sources of flucuaions helps o undersand he radecomovemen puzzle. Technical Conribuions o s wo-counry model of endogenous flucuaions o A New Model of Coupled Oscillaors o Applicaion of D noninverible, PWS, discree ime dynamic sysem Page 4 of 5

25 Nex Seps: Synchronizaion of Chaoic Flucuaions Many Counries Differen Models of Endogenous Innovaion Cycles: o My conjecure: Globalizaion should cause synchronizaion as long as i causes innovaors based in differen counries o operae in a common marke environmen. o The assumpion of srucural similariy seems crucial. Wha if wo counries are srucurally dissimilar? Differen Models of Trade: For example, o Wha if he wo counries become verically specialized?; e.g., global supply chains o Two Indusries: Upsream & Downsream, each produces DS composie as in DJ. o One counry has comparaive advanage in U; he oher in D o My conjecure: Globalizaion leads o an asynchronizaion Empirically consisen, as he evidence for he synchronizing effec of rade is srong among developed counries, bu no so bw developed and developing counries Page 5 of 5

Globalization and Synchronization of Innovation Cycles

Globalization and Synchronization of Innovation Cycles Globalizaion and Synchronizaion of Innovaion Cycles Kiminori Masuyama, Norhwesern Universiy, USA Iryna Sushko, Insiue of Mahemaics, Naional Academy of Science of Ukraine Laura Gardini, Universiy of Urbino,

More information

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION ECON 841 T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 211 EXAMINATION This exam has wo pars. Each par has wo quesions. Please answer one of he wo quesions in each par for a

More information

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM Economic Growh & Developmen: Par 4 Verical Innovaion Models By Kiminori Masuyama Updaed on 20-04-4 :0:54 AM Page of 7 Inroducion In he previous models R&D develops producs ha are new ie imperfec subsiues

More information

Final Exam Advanced Macroeconomics I

Final Exam Advanced Macroeconomics I Advanced Macroeconomics I WS 00/ Final Exam Advanced Macroeconomics I February 8, 0 Quesion (5%) An economy produces oupu according o α α Y = K (AL) of which a fracion s is invesed. echnology A is exogenous

More information

Lecture Notes 3: Quantitative Analysis in DSGE Models: New Keynesian Model

Lecture Notes 3: Quantitative Analysis in DSGE Models: New Keynesian Model Lecure Noes 3: Quaniaive Analysis in DSGE Models: New Keynesian Model Zhiwei Xu, Email: xuzhiwei@sju.edu.cn The moneary policy plays lile role in he basic moneary model wihou price sickiness. We now urn

More information

Problem Set on Differential Equations

Problem Set on Differential Equations Problem Se on Differenial Equaions 1. Solve he following differenial equaions (a) x () = e x (), x () = 3/ 4. (b) x () = e x (), x (1) =. (c) xe () = + (1 x ()) e, x () =.. (An asse marke model). Le p()

More information

A Dynamic Model of Economic Fluctuations

A Dynamic Model of Economic Fluctuations CHAPTER 15 A Dynamic Model of Economic Flucuaions Modified for ECON 2204 by Bob Murphy 2016 Worh Publishers, all righs reserved IN THIS CHAPTER, OU WILL LEARN: how o incorporae dynamics ino he AD-AS model

More information

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims Problem Se 5 Graduae Macro II, Spring 2017 The Universiy of Nore Dame Professor Sims Insrucions: You may consul wih oher members of he class, bu please make sure o urn in your own work. Where applicable,

More information

Solutions Problem Set 3 Macro II (14.452)

Solutions Problem Set 3 Macro II (14.452) Soluions Problem Se 3 Macro II (14.452) Francisco A. Gallego 04/27/2005 1 Q heory of invesmen in coninuous ime and no uncerainy Consider he in nie horizon model of a rm facing adjusmen coss o invesmen.

More information

Dynamics of Firms and Trade in General Equilibrium. Robert Dekle, Hyeok Jeong and Nobuhiro Kiyotaki USC, KDI School and Princeton

Dynamics of Firms and Trade in General Equilibrium. Robert Dekle, Hyeok Jeong and Nobuhiro Kiyotaki USC, KDI School and Princeton Dynamics of Firms and Trade in General Equilibrium Rober Dekle, Hyeok Jeong and Nobuhiro Kiyoaki USC, KDI School and Princeon real exchange rae.5 2 Figure. Aggregae Exchange Rae Disconnec in Japan 98 99

More information

Intermediate Macro In-Class Problems

Intermediate Macro In-Class Problems Inermediae Macro In-Class Problems Exploring Romer Model June 14, 016 Today we will explore he mechanisms of he simply Romer model by exploring how economies described by his model would reac o exogenous

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

Open loop vs Closed Loop. Example: Open Loop. Example: Feedforward Control. Advanced Control I

Open loop vs Closed Loop. Example: Open Loop. Example: Feedforward Control. Advanced Control I Open loop vs Closed Loop Advanced I Moor Command Movemen Overview Open Loop vs Closed Loop Some examples Useful Open Loop lers Dynamical sysems CPG (biologically inspired ), Force Fields Feedback conrol

More information

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015 Explaining Toal Facor Produciviy Ulrich Kohli Universiy of Geneva December 2015 Needed: A Theory of Toal Facor Produciviy Edward C. Presco (1998) 2 1. Inroducion Toal Facor Produciviy (TFP) has become

More information

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 2011 BUILDING THE EQUILIBRIUM. p = 1. Dixit-Stiglitz Model

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 2011 BUILDING THE EQUILIBRIUM. p = 1. Dixit-Stiglitz Model MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 211 Dixi-Sigliz Model BUILDING THE EQUILIBRIUM DS MODEL I or II Puing hings ogeher impose symmery across all i 1 pzf k( k, n) = r & 1 pzf n(

More information

1 Answers to Final Exam, ECN 200E, Spring

1 Answers to Final Exam, ECN 200E, Spring 1 Answers o Final Exam, ECN 200E, Spring 2004 1. A good answer would include he following elemens: The equiy premium puzzle demonsraed ha wih sandard (i.e ime separable and consan relaive risk aversion)

More information

The general Solow model

The general Solow model The general Solow model Back o a closed economy In he basic Solow model: no growh in GDP per worker in seady sae This conradics he empirics for he Wesern world (sylized fac #5) In he general Solow model:

More information

Product differentiation

Product differentiation differeniaion Horizonal differeniaion Deparmen of Economics, Universiy of Oslo ECON480 Spring 010 Las modified: 010.0.16 The exen of he marke Differen producs or differeniaed varians of he same produc

More information

Modeling Economic Time Series with Stochastic Linear Difference Equations

Modeling Economic Time Series with Stochastic Linear Difference Equations A. Thiemer, SLDG.mcd, 6..6 FH-Kiel Universiy of Applied Sciences Prof. Dr. Andreas Thiemer e-mail: andreas.hiemer@fh-kiel.de Modeling Economic Time Series wih Sochasic Linear Difference Equaions Summary:

More information

Economics 8105 Macroeconomic Theory Recitation 6

Economics 8105 Macroeconomic Theory Recitation 6 Economics 8105 Macroeconomic Theory Reciaion 6 Conor Ryan Ocober 11h, 2016 Ouline: Opimal Taxaion wih Governmen Invesmen 1 Governmen Expendiure in Producion In hese noes we will examine a model in which

More information

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem.

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem. Noes, M. Krause.. Problem Se 9: Exercise on FTPL Same model as in paper and lecure, only ha one-period govenmen bonds are replaced by consols, which are bonds ha pay one dollar forever. I has curren marke

More information

Comparing Means: t-tests for One Sample & Two Related Samples

Comparing Means: t-tests for One Sample & Two Related Samples Comparing Means: -Tess for One Sample & Two Relaed Samples Using he z-tes: Assumpions -Tess for One Sample & Two Relaed Samples The z-es (of a sample mean agains a populaion mean) is based on he assumpion

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION DOI: 0.038/NCLIMATE893 Temporal resoluion and DICE * Supplemenal Informaion Alex L. Maren and Sephen C. Newbold Naional Cener for Environmenal Economics, US Environmenal Proecion

More information

Discussion Papers In Economics And Business

Discussion Papers In Economics And Business Discussion Papers In Economics And Business Growh Cycles in a Two-counry Model of Innovaion Kunihiko Konishi Discussion Paper 5-07 Graduae School of Economics and Osaka School of Inernaional Public Policy

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010

Simulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid

More information

Module 3: The Damped Oscillator-II Lecture 3: The Damped Oscillator-II

Module 3: The Damped Oscillator-II Lecture 3: The Damped Oscillator-II Module 3: The Damped Oscillaor-II Lecure 3: The Damped Oscillaor-II 3. Over-damped Oscillaions. This refers o he siuaion where β > ω (3.) The wo roos are and α = β + α 2 = β β 2 ω 2 = (3.2) β 2 ω 2 = 2

More information

1. Consider a pure-exchange economy with stochastic endowments. The state of the economy

1. Consider a pure-exchange economy with stochastic endowments. The state of the economy Answer 4 of he following 5 quesions. 1. Consider a pure-exchange economy wih sochasic endowmens. The sae of he economy in period, 0,1,..., is he hisory of evens s ( s0, s1,..., s ). The iniial sae is given.

More information

SCHOOL OF ECONOMICS Adelaide University SA 5005 AUSTRALIA

SCHOOL OF ECONOMICS Adelaide University SA 5005 AUSTRALIA Open Economy chumpeerian Growh Raul A. Barreo and Kaori Kobayashi Working Paper -9 CHOOL OF ECONOMIC Adelaide Universiy A 55 AUTRALIA IN 444 8866 Open Economy chumpeerian Growh by Raul A. Barreo ** and

More information

Problem Set #3: AK models

Problem Set #3: AK models Universiy of Warwick EC9A2 Advanced Macroeconomic Analysis Problem Se #3: AK models Jorge F. Chavez December 3, 2012 Problem 1 Consider a compeiive economy, in which he level of echnology, which is exernal

More information

Stability and Bifurcation in a Neural Network Model with Two Delays

Stability and Bifurcation in a Neural Network Model with Two Delays Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy

More information

International Parity Relations between Poland and Germany: A Cointegrated VAR Approach

International Parity Relations between Poland and Germany: A Cointegrated VAR Approach Research Seminar a he Deparmen of Economics, Warsaw Universiy Warsaw, 15 January 2008 Inernaional Pariy Relaions beween Poland and Germany: A Coinegraed VAR Approach Agnieszka Sążka Naional Bank of Poland

More information

A Note on Raising the Mandatory Retirement Age and. Its Effect on Long-run Income and Pay As You Go (PAYG) Pensions

A Note on Raising the Mandatory Retirement Age and. Its Effect on Long-run Income and Pay As You Go (PAYG) Pensions The Sociey for Economic Sudies The Universiy of Kiakyushu Working Paper Series No.2017-5 (acceped in March, 2018) A Noe on Raising he Mandaory Reiremen Age and Is Effec on Long-run Income and Pay As You

More information

Unsteady Mass- Transfer Models

Unsteady Mass- Transfer Models See T&K Chaper 9 Unseady Mass- Transfer Models ChEn 6603 Wednesday, April 4, Ouline Conex for he discussion Soluion for ransien binary diffusion wih consan c, N. Soluion for mulicomponen diffusion wih

More information

Seminar 4: Hotelling 2

Seminar 4: Hotelling 2 Seminar 4: Hoelling 2 November 3, 211 1 Exercise Par 1 Iso-elasic demand A non renewable resource of a known sock S can be exraced a zero cos. Demand for he resource is of he form: D(p ) = p ε ε > A a

More information

Lecture 19. RBC and Sunspot Equilibria

Lecture 19. RBC and Sunspot Equilibria Lecure 9. RBC and Sunspo Equilibria In radiional RBC models, business cycles are propagaed by real echnological shocks. Thus he main sory comes from he supply side. In 994, a collecion of papers were published

More information

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18 A Firs ourse on Kineics and Reacion Engineering lass 19 on Uni 18 Par I - hemical Reacions Par II - hemical Reacion Kineics Where We re Going Par III - hemical Reacion Engineering A. Ideal Reacors B. Perfecly

More information

18 Biological models with discrete time

18 Biological models with discrete time 8 Biological models wih discree ime The mos imporan applicaions, however, may be pedagogical. The elegan body of mahemaical heory peraining o linear sysems (Fourier analysis, orhogonal funcions, and so

More information

Final Exam. Tuesday, December hours

Final Exam. Tuesday, December hours San Francisco Sae Universiy Michael Bar ECON 560 Fall 03 Final Exam Tuesday, December 7 hours Name: Insrucions. This is closed book, closed noes exam.. No calculaors of any kind are allowed. 3. Show all

More information

Sterilization D Values

Sterilization D Values Seriliaion D Values Seriliaion by seam consis of he simple observaion ha baceria die over ime during exposure o hea. They do no all live for a finie period of hea exposure and hen suddenly die a once,

More information

Electrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit

Electrical Circuits. 1. Circuit Laws. Tools Used in Lab 13 Series Circuits Damped Vibrations: Energy Van der Pol Circuit V() R L C 513 Elecrical Circuis Tools Used in Lab 13 Series Circuis Damped Vibraions: Energy Van der Pol Circui A series circui wih an inducor, resisor, and capacior can be represened by Lq + Rq + 1, a

More information

Embedded Systems and Software. A Simple Introduction to Embedded Control Systems (PID Control)

Embedded Systems and Software. A Simple Introduction to Embedded Control Systems (PID Control) Embedded Sysems and Sofware A Simple Inroducion o Embedded Conrol Sysems (PID Conrol) Embedded Sysems and Sofware, ECE:3360. The Universiy of Iowa, 2016 Slide 1 Acknowledgemens The maerial in his lecure

More information

BOKDSGE: A DSGE Model for the Korean Economy

BOKDSGE: A DSGE Model for the Korean Economy BOKDSGE: A DSGE Model for he Korean Economy June 4, 2008 Joong Shik Lee, Head Macroeconomeric Model Secion Research Deparmen The Bank of Korea Ouline 1. Background 2. Model srucure & parameer values 3.

More information

Unemployment and Mismatch in the UK

Unemployment and Mismatch in the UK Unemploymen and Mismach in he UK Jennifer C. Smih Universiy of Warwick, UK CAGE (Cenre for Compeiive Advanage in he Global Economy) BoE/LSE Conference on Macroeconomics and Moneary Policy: Unemploymen,

More information

On the Role of Financial Frictions and the Saving Rate during Trade Liberalizations

On the Role of Financial Frictions and the Saving Rate during Trade Liberalizations On he Role of Financial Fricions and he Saving Rae during Trade Liberalizaions Pol Anràs and Ricardo Caballero Harvard & MIT Augus 2009 Anràs and Caballero (Harvard & MIT) Financial Fricions and Trade

More information

Lecture 3: Solow Model II Handout

Lecture 3: Solow Model II Handout Economics 202a, Fall 1998 Lecure 3: Solow Model II Handou Basics: Y = F(K,A ) da d d d dk d = ga = n = sy K The model soluion, for he general producion funcion y =ƒ(k ): dk d = sƒ(k ) (n + g + )k y* =

More information

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3 Macroeconomic Theory Ph.D. Qualifying Examinaion Fall 2005 Comprehensive Examinaion UCLA Dep. of Economics You have 4 hours o complee he exam. There are hree pars o he exam. Answer all pars. Each par has

More information

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance

More information

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation: M ah 5 7 Fall 9 L ecure O c. 4, 9 ) Hamilon- J acobi Equaion: Weak S oluion We coninue he sudy of he Hamilon-Jacobi equaion: We have shown ha u + H D u) = R n, ) ; u = g R n { = }. ). In general we canno

More information

1 Differential Equation Investigations using Customizable

1 Differential Equation Investigations using Customizable Differenial Equaion Invesigaions using Cusomizable Mahles Rober Decker The Universiy of Harford Absrac. The auhor has developed some plaform independen, freely available, ineracive programs (mahles) for

More information

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS CENRALIZED VERSUS DECENRALIZED PRODUCION PLANNING IN SUPPLY CHAINS Georges SAHARIDIS* a, Yves DALLERY* a, Fikri KARAESMEN* b * a Ecole Cenrale Paris Deparmen of Indusial Engineering (LGI), +3343388, saharidis,dallery@lgi.ecp.fr

More information

Worker flows and matching efficiency

Worker flows and matching efficiency Worker flows and maching efficiency Marcelo Veraciero Inroducion and summary One of he bes known facs abou labor marke dynamics in he US economy is ha unemploymen and vacancies are srongly negaively correlaed

More information

EE100 Lab 3 Experiment Guide: RC Circuits

EE100 Lab 3 Experiment Guide: RC Circuits I. Inroducion EE100 Lab 3 Experimen Guide: A. apaciors A capacior is a passive elecronic componen ha sores energy in he form of an elecrosaic field. The uni of capaciance is he farad (coulomb/vol). Pracical

More information

OBJECTIVES OF TIME SERIES ANALYSIS

OBJECTIVES OF TIME SERIES ANALYSIS OBJECTIVES OF TIME SERIES ANALYSIS Undersanding he dynamic or imedependen srucure of he observaions of a single series (univariae analysis) Forecasing of fuure observaions Asceraining he leading, lagging

More information

The field of mathematics has made tremendous impact on the study of

The field of mathematics has made tremendous impact on the study of A Populaion Firing Rae Model of Reverberaory Aciviy in Neuronal Neworks Zofia Koscielniak Carnegie Mellon Universiy Menor: Dr. G. Bard Ermenrou Universiy of Pisburgh Inroducion: The field of mahemaics

More information

Linear Time-invariant systems, Convolution, and Cross-correlation

Linear Time-invariant systems, Convolution, and Cross-correlation Linear Time-invarian sysems, Convoluion, and Cross-correlaion (1) Linear Time-invarian (LTI) sysem A sysem akes in an inpu funcion and reurns an oupu funcion. x() T y() Inpu Sysem Oupu y() = T[x()] An

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON4325 Moneary Policy Dae of exam: Tuesday, May 24, 206 Grades are given: June 4, 206 Time for exam: 2.30 p.m. 5.30 p.m. The problem se covers 5 pages

More information

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature On Measuring Pro-Poor Growh 1. On Various Ways of Measuring Pro-Poor Growh: A Shor eview of he Lieraure During he pas en years or so here have been various suggesions concerning he way one should check

More information

USP. Surplus-Production Models

USP. Surplus-Production Models USP Surplus-Producion Models 2 Overview Purpose of slides: Inroducion o he producion model Overview of differen mehods of fiing Go over some criique of he mehod Source: Haddon 2001, Chaper 10 Hilborn and

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

20. Applications of the Genetic-Drift Model

20. Applications of the Genetic-Drift Model 0. Applicaions of he Geneic-Drif Model 1) Deermining he probabiliy of forming any paricular combinaion of genoypes in he nex generaion: Example: If he parenal allele frequencies are p 0 = 0.35 and q 0

More information

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models Journal of Saisical and Economeric Mehods, vol.1, no.2, 2012, 65-70 ISSN: 2241-0384 (prin), 2241-0376 (online) Scienpress Ld, 2012 A Specificaion Tes for Linear Dynamic Sochasic General Equilibrium Models

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

Has the Inflation Process Changed? A Comment *

Has the Inflation Process Changed? A Comment * Has he Inflaion Process Changed? A Commen * Jordi Galí CREI, UPF, CEPR and NBER Augus 2004 * Based on he discussion of Cecchei and Debelle s paper Has he Inflaion Process Changed? presened a he Third BIS

More information

The motions of the celt on a horizontal plane with viscous friction

The motions of the celt on a horizontal plane with viscous friction The h Join Inernaional Conference on Mulibody Sysem Dynamics June 8, 18, Lisboa, Porugal The moions of he cel on a horizonal plane wih viscous fricion Maria A. Munisyna 1 1 Moscow Insiue of Physics and

More information

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations ADVANCED MATHEMATICS FOR ECONOMICS - /3 Shee 3: Di erenial equaions Check ha x() =± p ln(c( + )), where C is a posiive consan, is soluion of he ODE x () = Solve he following di erenial equaions: (a) x

More information

Comparison between the Discrete and Continuous Time Models

Comparison between the Discrete and Continuous Time Models Comparison beween e Discree and Coninuous Time Models D. Sulsky June 21, 2012 1 Discree o Coninuous Recall e discree ime model Î = AIS Ŝ = S Î. Tese equaions ell us ow e populaion canges from one day o

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

A One-Sector Neoclassical Growth Model with Endogenous Retirement

A One-Sector Neoclassical Growth Model with Endogenous Retirement CIRJE-F-53 A One-Secor Neoclassical Growh Model wih Endogenous Reiremen Kiminori Masuyama Norhwesern Universiy December 2007 CIRJE Discussion Papers can be downloaded wihou charge from: hp://www.e.u-okyo.ac.jp/cirje/research/03research02dp.hml

More information

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

Costly innovators versus cheap imitators: a discrete choice model Hommes, C.H.; Zeppini, P.

Costly innovators versus cheap imitators: a discrete choice model Hommes, C.H.; Zeppini, P. UvA-DARE (Digial Academic Reposiory) Cosly innovaors versus cheap imiaors: a discree choice model Hommes, C.H.; Zeppini, P. Link o publicaion Ciaion for published version (APA): Hommes, C., & Zeppini,

More information

Long-run growth effects of taxation in a non-scale growth model with innovation

Long-run growth effects of taxation in a non-scale growth model with innovation Deparmen of Economics Working Paper No. 0104 hp://www.fas.nus.edu.sg/ecs/pub/wp/wp0104.pdf Long-run growh effecs of axaion in a non-scale growh model wih innovaion (Forhcoming in he Economics Leer) Jinli

More information

( ) (, ) F K L = F, Y K N N N N. 8. Economic growth 8.1. Production function: Capital as production factor

( ) (, ) F K L = F, Y K N N N N. 8. Economic growth 8.1. Production function: Capital as production factor 8. Economic growh 8.. Producion funcion: Capial as producion facor Y = α N Y (, ) = F K N Diminishing marginal produciviy of capial and labor: (, ) F K L F K 2 ( K, L) K 2 (, ) F K L F L 2 ( K, L) L 2

More information

Age (x) nx lx. Age (x) nx lx dx qx

Age (x) nx lx. Age (x) nx lx dx qx Life Tables Dynamic (horizonal) cohor= cohor followed hrough ime unil all members have died Saic (verical or curren) = one census period (day, season, ec.); only equivalen o dynamic if populaion does no

More information

Math 36. Rumbos Spring Solutions to Assignment #6. 1. Suppose the growth of a population is governed by the differential equation.

Math 36. Rumbos Spring Solutions to Assignment #6. 1. Suppose the growth of a population is governed by the differential equation. Mah 36. Rumbos Spring 1 1 Soluions o Assignmen #6 1. Suppose he growh of a populaion is governed by he differenial equaion where k is a posiive consan. d d = k (a Explain why his model predics ha he populaion

More information

DSGE methods. Introduction to Dynare via Clarida, Gali, and Gertler (1999) Willi Mutschler, M.Sc.

DSGE methods. Introduction to Dynare via Clarida, Gali, and Gertler (1999) Willi Mutschler, M.Sc. DSGE mehods Inroducion o Dynare via Clarida, Gali, and Gerler (1999) Willi Muschler, M.Sc. Insiue of Economerics and Economic Saisics Universiy of Münser willi.muschler@uni-muenser.de Summer 2014 Willi

More information

Bifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays

Bifurcation Analysis of a Stage-Structured Prey-Predator System with Discrete and Continuous Delays Applied Mahemaics 4 59-64 hp://dx.doi.org/.46/am..4744 Published Online July (hp://www.scirp.org/ournal/am) Bifurcaion Analysis of a Sage-Srucured Prey-Predaor Sysem wih Discree and Coninuous Delays Shunyi

More information

Module 4: Time Response of discrete time systems Lecture Note 2

Module 4: Time Response of discrete time systems Lecture Note 2 Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

More information

ECE 2100 Circuit Analysis

ECE 2100 Circuit Analysis ECE 1 Circui Analysis Lesson 35 Chaper 8: Second Order Circuis Daniel M. Liynski, Ph.D. ECE 1 Circui Analysis Lesson 3-34 Chaper 7: Firs Order Circuis (Naural response RC & RL circuis, Singulariy funcions,

More information

Basilio Bona ROBOTICA 03CFIOR 1

Basilio Bona ROBOTICA 03CFIOR 1 Indusrial Robos Kinemaics 1 Kinemaics and kinemaic funcions Kinemaics deals wih he sudy of four funcions (called kinemaic funcions or KFs) ha mahemaically ransform join variables ino caresian variables

More information

Policy regimes Theory

Policy regimes Theory Advanced Moneary Theory and Policy EPOS 2012/13 Policy regimes Theory Giovanni Di Barolomeo giovanni.dibarolomeo@uniroma1.i The moneary policy regime The simple model: x = - s (i - p e ) + x e + e D p

More information

Macroeconomics I, UPF Professor Antonio Ciccone SOLUTIONS PROBLEM SET 1

Macroeconomics I, UPF Professor Antonio Ciccone SOLUTIONS PROBLEM SET 1 Macroeconomics I, UPF Professor Anonio Ciccone SOUTIONS PROBEM SET. (from Romer Advanced Macroeconomics Chaper ) Basic properies of growh raes which will be used over and over again. Use he fac ha he growh

More information

Lecture 2D: Rank-Size Rule

Lecture 2D: Rank-Size Rule Econ 460 Urban Economics Lecure 2D: Rank-Size Rule Insrucor: Hiroki Waanabe Summer 2012 2012 Hiroki Waanabe 1 / 56 1 Rank-Size Rule 2 Eeckhou 3 Now We Know 2012 Hiroki Waanabe 2 / 56 1 Rank-Size Rule US

More information

Inventory Control of Perishable Items in a Two-Echelon Supply Chain

Inventory Control of Perishable Items in a Two-Echelon Supply Chain Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan

More information

Lecture #6: Continuous-Time Signals

Lecture #6: Continuous-Time Signals EEL5: Discree-Time Signals and Sysems Lecure #6: Coninuous-Time Signals Lecure #6: Coninuous-Time Signals. Inroducion In his lecure, we discussed he ollowing opics:. Mahemaical represenaion and ransormaions

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

Problem set 3: Endogenous Innovation - Solutions

Problem set 3: Endogenous Innovation - Solutions Problem se 3: Endogenous Innovaion - Soluions Loïc Baé Ocober 25, 22 Opimaliy in he R & D based endogenous growh model Imporan feaure of his model: he monopoly markup is exogenous, so ha here is no need

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Chapter 2. Models, Censoring, and Likelihood for Failure-Time Data

Chapter 2. Models, Censoring, and Likelihood for Failure-Time Data Chaper 2 Models, Censoring, and Likelihood for Failure-Time Daa William Q. Meeker and Luis A. Escobar Iowa Sae Universiy and Louisiana Sae Universiy Copyrigh 1998-2008 W. Q. Meeker and L. A. Escobar. Based

More information

Chapter 15 A Model with Periodic Wage Contracts

Chapter 15 A Model with Periodic Wage Contracts George Alogoskoufis, Dynamic Macroeconomics, 2016 Chaper 15 A Model wih Periodic Wage Conracs In his chaper we analyze an alernaive model of aggregae flucuaions, which is based on periodic nominal wage

More information

School and Workshop on Market Microstructure: Design, Efficiency and Statistical Regularities March 2011

School and Workshop on Market Microstructure: Design, Efficiency and Statistical Regularities March 2011 2229-12 School and Workshop on Marke Microsrucure: Design, Efficiency and Saisical Regulariies 21-25 March 2011 Some mahemaical properies of order book models Frederic ABERGEL Ecole Cenrale Paris Grande

More information

Chapter 7 Response of First-order RL and RC Circuits

Chapter 7 Response of First-order RL and RC Circuits Chaper 7 Response of Firs-order RL and RC Circuis 7.- The Naural Response of RL and RC Circuis 7.3 The Sep Response of RL and RC Circuis 7.4 A General Soluion for Sep and Naural Responses 7.5 Sequenial

More information

h[n] is the impulse response of the discrete-time system:

h[n] is the impulse response of the discrete-time system: Definiion Examples Properies Memory Inveribiliy Causaliy Sabiliy Time Invariance Lineariy Sysems Fundamenals Overview Definiion of a Sysem x() h() y() x[n] h[n] Sysem: a process in which inpu signals are

More information

Numerical Dispersion

Numerical Dispersion eview of Linear Numerical Sabiliy Numerical Dispersion n he previous lecure, we considered he linear numerical sabiliy of boh advecion and diffusion erms when approimaed wih several spaial and emporal

More information

Suggested Solutions to Assignment 4 (REQUIRED) Submisson Deadline and Location: March 27 in Class

Suggested Solutions to Assignment 4 (REQUIRED) Submisson Deadline and Location: March 27 in Class EC 450 Advanced Macroeconomics Insrucor: Sharif F Khan Deparmen of Economics Wilfrid Laurier Universiy Winer 2008 Suggesed Soluions o Assignmen 4 (REQUIRED) Submisson Deadline and Locaion: March 27 in

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information