Supporting Materials for: Two Monetary Models with Alternating Markets
|
|
- Felicity Hall
- 5 years ago
- Views:
Transcription
1 Supportng Materals for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty Unversty of Basel YL Chen Federal Reserve Bank of St. Lous 1 Optmal choces n the CIA model On date t, gven hstory S t, the constrant of the frm s F h F t S t )) = c F 1tS t ) + c F 2tS t ) 1) where c F 1t and c F 2t denote cash and credt goods, p jt s the nomnal spot prce of good j = 1, 2, and w t s the nomnal spot wage on t. Nomnal profts net dollar nflows) are dstrbuted as dvdends n the afternoon, and on the mornng of t are p 1t S t )c F 1tS t ) + p 2t S t )c F 2tS t ) w t S t )h F t S t ). 2) Snce the frm sells for cash and for credt, payments accrue as follows: n the mornng, t receves cash payments for cash-goods sales, and n the afternoon t receves payments for the mornng s credt sales. Let q t S t ) denote the date 0 prce of a clam to one dollar delvered n the afternoon of t, contngent on S t = state-contngent nomnal bond). The frm s date 0 proft-maxmzaton problem s: gven state-contngent prces q t S t ), choose sequences of output and labor c F 1tS t ), c F 2tS t ), h F t S t )) to solve Maxmze: q t S t ) { p 1t S t )c F 1tS t ) + p 2t S t )c F 2tS t ) w t S t )h F t S t ) } ds t subject to: c F 1tS t ) + c F 2tS t ) = F h F t S t )). 3) 1
2 Substtutng for c F 1tS t ) from the constrant, the FOCs for all t, S t are h F t S t ) : p 1t S t )F h F t S t )) w t S t ) = 0 c F 2tS t ) : p 1t S t ) p 2t S t ) = 0. Consequently, for all t, S t we have p 1t S t ) = p 2t S t ) = p t S t ) and p t S t )F h F t S t )) = w t S t ). 4) An agent who contracts on date 0 maxmzes the expected utlty β t Uc 1t S t ), c 2t S t ), h t S t ))f t S t )ds t where we assume U s a real-valued functon, twce contnuously dfferentable n each argument, strctly ncreasng n c j, decreasng n h, and concave. Maxmzaton s subject to two constrants. One s the cash n advance constrant p 1t S t )c 1t S t ) M t S t 1 ) for all t and S t, where M t S t 1 ) are money balances held at the start of t, brought n from the afternoon of t 1, when the shock s t was not yet realzed. Gven ths uncertanty, money may be held to conduct transactons and for precautonary reasons. The other constrant s the date 0 nomnal ntertemporal budget constrant: {qt S t ) [ p 1t S t )c 1t S t ) + p 2t S t )c 2t S t ) w t S t )h t S t ) M t S t 1 ) +M t+1 S t ) Θ t ]} ds t Π + M. The date 0 sources of funds are M ntal money holdngs =ntal labltes of the central bank) and the frm s nomnal value Π. The left hand sde s the date 0 present value of net expendture. It s calculated by consderng the prce of money delvered 2
3 n the afternoon of t, q t S t ). There are two elements: 1. Mornng net expendture: w t S t )h t S t ) wages earned, pad n the afternoon; M t S t 1 ) p 1t S t )c 1t S t ) unspent balances avalable n the afternoon; p 2t S t )c 2t S t ) purchases of credt goods settled n the afternoon. These funds are avalable n the afternoon of t, where the date-0 value of one dollar s q t S t ). 2. Afternoon net expendtures: the agent receves Θ t transfers and exts the perod holdng M t+1 S t ) money balances, so net expendture s M t+1 S t ) Θ t, wth date 0 value q t S t ). Gven that values can be hstory-dependent, we ntegrate over S t. Agents choose sequences of state-contngent consumpton, labor and money holdngs c 1t S t ), c 2t S t ), h t S t ), and M t+1 S t ) to maxmze the Lagrangan: L := β t Uc 1t S t ), c 2t S t ), h t S t ))f t S t )ds t + λπ + M) λ {qt S t )[p 1t S t )c 1t S t ) + p 2t S t )c 2t S t ) w t S t )h t S t ) M t S t 1 ) + M t+1 S t ) Θ t ]} ds t + µt S t )[M t S t 1 ) p 1t S t )c 1t S t )]ds t, 5) where µ t S t ) s the Kühn-Tucker multpler on the cash constrant on t, gven S t. Omttng the arguments from U and f where understood, n an nteror optmum the FOCs for all t and S t are: c 1t S t ) : β t U 1 f t S t ) λp 1t S t )q t S t ) µ t S t )p 1t S t ) = 0 p 1t S t )c 1t S t ) M t S t 1 ) c 2t S t ) : β t U 2 f t S t ) λp 2t S t )q t S t ) = 0 6) h t S t ) : β t U 3 f t S t ) + λw t S t )q t S t ) = 0 M t+1 S t ) : λq t S t ) + λ q t+1 S t+1 )ds t+1 + µ t+1 S t+1 )ds t+1 = 0. 3
4 Gven p 2t S t ) = p 1t S t ) = ps t ) and 4) we get U 3 U 2 = F h t S t ); S t ) for all t, S t U 1 = λq ts t ) + µ t S t ) U 2 λq t S t ) for all t, S t. 7) 2 The prce dstorton n the LW model u Under barganng, 1c 1 ) s the margnal beneft from spendng a dollar. Ths rato z c 1 ; θ) becomes u 1c 1 ), wth p 1 = η c 1 ), when θ = 1. To see ths, note that f θ = 1, then p 1 /p 2 p 2 z = η. If θ < 1 we have z > η. Indeed, η ; hence, θ + 1 θ)η <. From the defnton of zc 1 ; θ) we have z = θ + 1 θ)η η + A where A > 0. The Fgure plots ψc 1, θ) to llustrate how Nash barganng dstorts prces, relatve to compettve prcng, dependng on the buyer s barganng power θ, and the rate of nflaton. As θ approaches one, the prce dstorton vanshes for any rate of nflaton, and the Nash barganng prce dstorton vanshes. 3 Proof of Lemma 1 Consder an equlbrum wth hstory-ndependent prces p 1t S t ) = p 1t and w 1t S t ) = w 1t, as n LW, 2005). 6 To prove the frst part of the Lemma let s t = 1 and µ t S t ) = 0. From the frst and thrd expressons n 12) we have β t c 1t S t )) = λp 1t q t = λw 1t q t = β t η h 1t S t )), for all t, S t, From market clearng h F 1tS t ) = δh 1t S t ) = δc 1t S t ) = c F 1tS t ). 7 Hence, u 1 c 1tS t )) η c 1t S t )) = 1 for all t, S t. That s c 1t S t ) = c 1 for all t and all agents such that s t = 1. To prove the second part of the Lemma let s t = 1 and µ t S t ) > 0. Update by one 4
5 Fredman Rule Zero Inflaton 10% Inflaton θ Fgure 1: Illustratng the barganng prce dstorton usng ψc 1, θ) Notes: The three curves correspond to ψc 1 ; θ) assumng as n the calbraton n LW, 2005) that η = 1, u 1 c 1 ) = c 1+b) 1 a b 1 a 1 a, a = 0.3, b = 0, δ = 0.5 and r = 1.04γ 1, wth γ = β =Fredman rule), γ = 1 =zero nflaton) and γ = 1.1 = 10% nflaton). perod the frst expresson n the FOCs 12) to get β t+1 c 1,t+1 S t+1 ))fs t+1 )f t S t ) = λq t+1 fs t+1 )f t S t ) + µ t+1 S t+1 ), f s t+1 = 1 where we substtuted f t+1 S t+1 ) = fs t+1 )f t S t ). Now substtute c 1,t+1 S t+1 ) = M t+1 S t+1 ) snce µ t+1 S t+1 ) > 0. The expresson above has the status of an equalty only f s t+1 = 1. In that case, we can ntegrate both sdes wth respect to s t+1, 5
6 condtonal on s t+1 = 1. For the left-hand-sde we get β t+1 1 {s t+1 =1} u 1c 1,t+1 S t+1 ))fs t+1 )f t S t )d st+1 = βt+1 = βt+1 = βt+1 ) 1 {s t+1 =1} fs t+1)f t S t )d st+1 ) f t S t ) 1 {s t+1 =1} fs t+1)d st+1 Mt+1 S t ) Mt+1 S t ) Mt+1 S t ) ) f t S t )δ 8) For the rght-hand-sde we get 1 {s t+1 =1} [λq t+1fs t+1 )f t S t ) + µ t+1 S t+1 )]ds t+1 = λq t+1 f t S t ) + µ t+1 S t+1 )ds t+1 Φ = λq t f t S t ) Φ, 9) where the last step follows from the last lne n 12) and Φ := 1 {s t+1 =0} [λq t+1fs t+1 )f t S t ) + µ t+1 S t+1 )]ds t+1 = 1 {s t+1 =0} [λq t+1fs t+1 )f t S t )]ds t+1, snce µ t+1 S t+1 ) = 0 when s t+1 = 0 = λq t+1 f t S t ) 1 {s t+1 =0} fs t+1)ds t+1 = λq t+1 f t S t )1 δ), snce 1 {s t+1 =0} fs t+1)ds t+1 = 1 δ = β t+1 u 2c 2,t+1 ) f t S t )1 δ), from 12). p 2,t+1 Equatng the expectatons of both sdes from 8) and 9) we have β t+1 Mt+1 S t ) ) δ = λq t Substtutng Φ n the equaton above we get β t+1 Mt+1 S t ) ) Φ f t S t ) δ = λq t βt+1 u 2c 2,t+1 ) 1 δ), p 2,t+1 6
7 or equvalently, snce u 2c 2,t+1 ) = 1 for all t + 1 and S t+1, we have β t+1 [ Mt+1 S t ) ) δ + 1 δ ] = λq t. p 2,t+1 Ths mples that f s t+1 = 1, then c 1,t+1 S t+1 ) = M t+1s t ) = M t+1 = c 1,t+1 for all t and S t and for all agents, because q t s ndependent of S t. The dstrbuton of money s degenerate because there are no wealth effects due to the lnear dsutlty from producng credt goods. Agents equally reach the same cash holdngs by adjustng ther labor supply h 2. By market clearng, h F 2t = h 2td = c 2t where h 2t satsfes the agents budget constrant. Now substtute λq t = βt u 2c 2t ) p 2t = βt p 2t from 12) and wrte the equaton above as 13). Fnally, from the frm s problem, we have η h 1t ) = w 1t w 2t = p 1t p 2t. 4 Comparng notatons n LW and our model In LW, UX) s the utlty receved from consumng X CM goods u 2 c 2 ) n our notaton). labor s lnear. The technology to produce CM goods s lnear and the dsutlty from In the DM, a porton ασ δ n our notaton) of agents desres to consume but cannot produce) and an dentcal porton can produce but does not consume; uq) s the utlty receved from consumng q DM goods u 1 c 1 ) n our notaton); c s the dsutlty from labor n the DM η n our notaton); the nomnal prce s d q per unt of consumpton p 1 n our notaton); the real prce s φd q, where φ s 1 n our notaton. Wth bndng cash constrants d = M and φm where M s p 2 q the agent s money holdngs. We also have φm zq) where 0 < θ 1 s the buyer s barganng power. The nomnal nterest rate s r n our notaton). 7
8 5 Detals about the quanttatve exercse Preferences specfcaton: Preferences over goods are defned by u 1 c 1 ) = c 1 + b) 1 a b 1 a 1 a and u 2 c 2 ) = B log c 2, for some a > 0, b 0, 1) and B > 0. Consumpton c 2 satsfes 6), labor dsutlty satsfes η = 1, so c 1 satsfes γ β 1 = δ[τu 1c 1 ) 1]. 10) The welfare cost of nflaton: Defne ex-ante welfare W γ := u 2 c 2 ) c 2 + δ[u 1 c 1 γ)) c 1 γ)]. Consderng the compensatng varaton, welfare at zero nflaton s denoted W 1 := u 2 c 2 ) c 2 + δ[u 1 c 1 1)) c 1 ]. The welfare cost of γ 1 nflaton s the value 1 where satsfes W 1 W γ = 0. The markup: In LW the markup vares wth the barganng power and t generally vares wth c 1 but not always; consder ηh) = hx, x 1 and θ = 1). In the x calbraton labor dsutlty s lnear so the markup concdes wth the relatve prce p 1, whch s zc 1; θ). p 2 c 1 The share of DM output : The share of DM output n LW s easly constructed, gven that n the calbrated model everyone s matched n the DM α = 1 n LW). 8
9 DM output s δc 1 and CM output s c 2 B, n the calbrated model. Hence, total output s Y = δc 1 + B and the DM output share s δc 1 t ncreases as nflaton falls Y because real money balances ncrease); ths also gves us the share of cash goods to total goods n the CIA model. Ths share s used to calculate average markups. In the calbraton, when θ = 0.5 we have τ = ψc 1 ; θ) =.719,.846,.928 for, respectvely, γ =.1, 0, 1 β ; the correspondng average sales tax rates are:.025,.037,.034. β Instead, when θ = 0.343, we have τ = ψc 1 ; θ) =.511,.672,.802; the correspondng average sales tax rates are:.014,.019,.013. As nflaton decreases the markup n cash trades, 1, falls; yet, the average markup ncreases because the share of cash goods to τ total output rses. 9
Supporting Information for: Two Monetary Models with Alternating Markets
Supportng Informaton for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty & Unversty of Basel YL Chen St. Lous Fed November 2015 1 Optmal choces n the CIA model On date t, gven
More informationPROBLEM SET 7 GENERAL EQUILIBRIUM
PROBLEM SET 7 GENERAL EQUILIBRIUM Queston a Defnton: An Arrow-Debreu Compettve Equlbrum s a vector of prces {p t } and allocatons {c t, c 2 t } whch satsfes ( Gven {p t }, c t maxmzes βt ln c t subject
More informationEquilibrium with Complete Markets. Instructor: Dmytro Hryshko
Equlbrum wth Complete Markets Instructor: Dmytro Hryshko 1 / 33 Readngs Ljungqvst and Sargent. Recursve Macroeconomc Theory. MIT Press. Chapter 8. 2 / 33 Equlbrum n pure exchange, nfnte horzon economes,
More informationEconomics 8105 Macroeconomic Theory Recitation 1
Economcs 8105 Macroeconomc Theory Rectaton 1 Outlne: Conor Ryan September 6th, 2016 Adapted From Anh Thu (Monca) Tran Xuan s Notes Last Updated September 20th, 2016 Dynamc Economc Envronment Arrow-Debreu
More informationWelfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?
APPLIED WELFARE ECONOMICS AND POLICY ANALYSIS Welfare Propertes of General Equlbrum What can be sad about optmalty propertes of resource allocaton mpled by general equlbrum? Any crteron used to compare
More informationMixed Taxation and Production Efficiency
Floran Scheuer 2/23/2016 Mxed Taxaton and Producton Effcency 1 Overvew 1. Unform commodty taxaton under non-lnear ncome taxaton Atknson-Stgltz (JPubE 1976) Theorem Applcaton to captal taxaton 2. Unform
More informationLecture Notes, January 11, 2010
Economcs 200B UCSD Wnter 2010 Lecture otes, January 11, 2010 Partal equlbrum comparatve statcs Partal equlbrum: Market for one good only wth supply and demand as a functon of prce. Prce s defned as the
More informationOnline Appendix. t=1 (p t w)q t. Then the first order condition shows that
Artcle forthcomng to ; manuscrpt no (Please, provde the manuscrpt number!) 1 Onlne Appendx Appendx E: Proofs Proof of Proposton 1 Frst we derve the equlbrum when the manufacturer does not vertcally ntegrate
More informationk t+1 + c t A t k t, t=0
Macro II (UC3M, MA/PhD Econ) Professor: Matthas Kredler Fnal Exam 6 May 208 You have 50 mnutes to complete the exam There are 80 ponts n total The exam has 4 pages If somethng n the queston s unclear,
More informationEconomics 101. Lecture 4 - Equilibrium and Efficiency
Economcs 0 Lecture 4 - Equlbrum and Effcency Intro As dscussed n the prevous lecture, we wll now move from an envronment where we looed at consumers mang decsons n solaton to analyzng economes full of
More informationCopyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative
Copyrght (C) 008 Davd K. Levne Ths document s an open textbook; you can redstrbute t and/or modfy t under the terms of the Creatve Commons Attrbuton Lcense. Compettve Equlbrum wth Pure Exchange n traders
More informationUniversity of California, Davis Date: June 22, 2009 Department of Agricultural and Resource Economics. PRELIMINARY EXAMINATION FOR THE Ph.D.
Unversty of Calforna, Davs Date: June 22, 29 Department of Agrcultural and Resource Economcs Department of Economcs Tme: 5 hours Mcroeconomcs Readng Tme: 2 mnutes PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE
More informationEconomics 2450A: Public Economics Section 10: Education Policies and Simpler Theory of Capital Taxation
Economcs 2450A: Publc Economcs Secton 10: Educaton Polces and Smpler Theory of Captal Taxaton Matteo Parads November 14, 2016 In ths secton we study educaton polces n a smplfed verson of framework analyzed
More informationf(x,y) = (4(x 2 4)x,2y) = 0 H(x,y) =
Problem Set 3: Unconstraned mzaton n R N. () Fnd all crtcal ponts of f(x,y) (x 4) +y and show whch are ma and whch are mnma. () Fnd all crtcal ponts of f(x,y) (y x ) x and show whch are ma and whch are
More informationA NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegian Business School 2011
A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegan Busness School 2011 Functons featurng constant elastcty of substtuton CES are wdely used n appled economcs and fnance. In ths note, I do two thngs. Frst,
More information1 The Sidrauski model
The Sdrausk model There are many ways to brng money nto the macroeconomc debate. Among the fundamental ssues n economcs the treatment of money s probably the LESS satsfactory and there s very lttle agreement
More informationPerfect Competition and the Nash Bargaining Solution
Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange
More information(1 ) (1 ) 0 (1 ) (1 ) 0
Appendx A Appendx A contans proofs for resubmsson "Contractng Informaton Securty n the Presence of Double oral Hazard" Proof of Lemma 1: Assume that, to the contrary, BS efforts are achevable under a blateral
More informationHow Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists *
How Strong Are Weak Patents? Joseph Farrell and Carl Shapro Supplementary Materal Lcensng Probablstc Patents to Cournot Olgopolsts * September 007 We study here the specal case n whch downstream competton
More informationNotes on Kehoe Perri, Econometrica 2002
Notes on Kehoe Perr, Econometrca 2002 Jonathan Heathcote November 2nd 2005 There s nothng n these notes that s not n Kehoe Perr NBER Workng Paper 7820 or Kehoe and Perr Econometrca 2002. However, I have
More informationHila Etzion. Min-Seok Pang
RESERCH RTICLE COPLEENTRY ONLINE SERVICES IN COPETITIVE RKETS: INTINING PROFITILITY IN THE PRESENCE OF NETWORK EFFECTS Hla Etzon Department of Technology and Operatons, Stephen. Ross School of usness,
More informationProblem Set 4: Sketch of Solutions
Problem Set 4: Sketc of Solutons Informaton Economcs (Ec 55) George Georgads Due n class or by e-mal to quel@bu.edu at :30, Monday, December 8 Problem. Screenng A monopolst can produce a good n dfferent
More informationCS286r Assign One. Answer Key
CS286r Assgn One Answer Key 1 Game theory 1.1 1.1.1 Let off-equlbrum strateges also be that people contnue to play n Nash equlbrum. Devatng from any Nash equlbrum s a weakly domnated strategy. That s,
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationTest code: ME I/ME II, 2007
Test code: ME I/ME II, 007 Syllabus for ME I, 007 Matrx Algebra: Matrces and Vectors, Matrx Operatons. Permutaton and Combnaton. Calculus: Functons, Lmts, Contnuty, Dfferentaton of functons of one or more
More informationMarket structure and Innovation
Market structure and Innovaton Ths presentaton s based on the paper Market structure and Innovaton authored by Glenn C. Loury, publshed n The Quarterly Journal of Economcs, Vol. 93, No.3 ( Aug 1979) I.
More informationCS294 Topics in Algorithmic Game Theory October 11, Lecture 7
CS294 Topcs n Algorthmc Game Theory October 11, 2011 Lecture 7 Lecturer: Chrstos Papadmtrou Scrbe: Wald Krchene, Vjay Kamble 1 Exchange economy We consder an exchange market wth m agents and n goods. Agent
More informationConjectures in Cournot Duopoly under Cost Uncertainty
Conjectures n Cournot Duopoly under Cost Uncertanty Suyeol Ryu and Iltae Km * Ths paper presents a Cournot duopoly model based on a condton when frms are facng cost uncertanty under rsk neutralty and rsk
More informationPrice competition with capacity constraints. Consumers are rationed at the low-price firm. But who are the rationed ones?
Prce competton wth capacty constrants Consumers are ratoned at the low-prce frm. But who are the ratoned ones? As before: two frms; homogeneous goods. Effcent ratonng If p < p and q < D(p ), then the resdual
More informationUniqueness of Nash Equilibrium in Private Provision of Public Goods: Extension. Nobuo Akai *
Unqueness of Nash Equlbrum n Prvate Provson of Publc Goods: Extenson Nobuo Aka * nsttute of Economc Research Kobe Unversty of Commerce Abstract Ths note proves unqueness of Nash equlbrum n prvate provson
More information1. relation between exp. function and IUF
Dualty Dualty n consumer theory II. relaton between exp. functon and IUF - straghtforward: have m( p, u mn'd value of expendture requred to attan a gven level of utlty, gven a prce vector; u ( p, M max'd
More informationApplied Stochastic Processes
STAT455/855 Fall 23 Appled Stochastc Processes Fnal Exam, Bref Solutons 1. (15 marks) (a) (7 marks) The dstrbuton of Y s gven by ( ) ( ) y 2 1 5 P (Y y) for y 2, 3,... The above follows because each of
More informationIn the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td.
UC Berkeley Economcs 11 Sprng 006 Prof. Joseph Farrell / GSI: Jenny Shanefelter Problem Set # - Suggested Solutons. 1.. In ths problem, we are extendng the usual Hotellng lne so that now t runs from [-a,
More informationNorm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise
ppled Mathematcal Scences, Vol. 4, 200, no. 60, 2955-296 Norm Bounds for a ransformed ctvty Level Vector n Sraffan Systems: Dual Exercse Nkolaos Rodousaks Department of Publc dmnstraton, Panteon Unversty
More informationModule 17: Mechanism Design & Optimal Auctions
Module 7: Mechansm Desgn & Optmal Auctons Informaton Economcs (Ec 55) George Georgads Examples: Auctons Blateral trade Producton and dstrbuton n socety General Setup N agents Each agent has prvate nformaton
More informationIdiosyncratic Investment (or Entrepreneurial) Risk in a Neoclassical Growth Model. George-Marios Angeletos. MIT and NBER
Idosyncratc Investment (or Entrepreneural) Rsk n a Neoclasscal Growth Model George-Maros Angeletos MIT and NBER Motvaton emprcal mportance of entrepreneural or captal-ncome rsk ˆ prvate busnesses account
More informationSolutions to exam in SF1811 Optimization, Jan 14, 2015
Solutons to exam n SF8 Optmzaton, Jan 4, 25 3 3 O------O -4 \ / \ / The network: \/ where all lnks go from left to rght. /\ / \ / \ 6 O------O -5 2 4.(a) Let x = ( x 3, x 4, x 23, x 24 ) T, where the varable
More informationLinear Regression Analysis: Terminology and Notation
ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented
More informationWinter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan
Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments
More informationEcon107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)
I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes
More informationUnit 5: Government policy in competitive markets I E ciency
Unt 5: Government polcy n compettve markets I E cency Prof. Antono Rangel January 2, 2016 1 Pareto optmal allocatons 1.1 Prelmnares Bg pcture Consumers: 1,...,C,eachw/U,W Frms: 1,...,F,eachw/C ( ) Consumers
More informationPortfolios with Trading Constraints and Payout Restrictions
Portfolos wth Tradng Constrants and Payout Restrctons John R. Brge Northwestern Unversty (ont wor wth Chrs Donohue Xaodong Xu and Gongyun Zhao) 1 General Problem (Very) long-term nvestor (eample: unversty
More information,, MRTS is the marginal rate of technical substitution
Mscellaneous Notes on roducton Economcs ompled by eter F Orazem September 9, 00 I Implcatons of conve soquants Two nput case, along an soquant 0 along an soquant Slope of the soquant,, MRTS s the margnal
More informationPricing and Resource Allocation Game Theoretic Models
Prcng and Resource Allocaton Game Theoretc Models Zhy Huang Changbn Lu Q Zhang Computer and Informaton Scence December 8, 2009 Z. Huang, C. Lu, and Q. Zhang (CIS) Game Theoretc Models December 8, 2009
More informationLecture 10 Support Vector Machines II
Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed
More informationManaging Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration
Managng Caacty Through eward Programs on-lne comanon age Byung-Do Km Seoul Natonal Unversty College of Busness Admnstraton Mengze Sh Unversty of Toronto otman School of Management Toronto ON M5S E6 Canada
More informationAppendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems
More informationThe Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction
ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also
More informationInstitute of Actuaries of India
Insttute of Actuares of Inda Subject CT1 Fnancal Mathematcs May 2010 Examnatons INDICATIVE SOLUTIONS Introducton The ndcatve soluton has been wrtten by the Examners wth the am of helpng canddates. The
More informationHidden Markov Models
Hdden Markov Models Namrata Vaswan, Iowa State Unversty Aprl 24, 204 Hdden Markov Model Defntons and Examples Defntons:. A hdden Markov model (HMM) refers to a set of hdden states X 0, X,..., X t,...,
More informationPHYS 705: Classical Mechanics. Calculus of Variations II
1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationAdditional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty
Addtonal Codes usng Fnte Dfference Method Benamn Moll 1 HJB Equaton for Consumpton-Savng Problem Wthout Uncertanty Before consderng the case wth stochastc ncome n http://www.prnceton.edu/~moll/ HACTproect/HACT_Numercal_Appendx.pdf,
More informationQuantity Precommitment and Cournot and Bertrand Models with Complementary Goods
Quantty Precommtment and Cournot and Bertrand Models wth Complementary Goods Kazuhro Ohnsh 1 Insttute for Basc Economc Scence, Osaka, Japan Abstract Ths paper nestgates Cournot and Bertrand duopoly models
More informationLecture Notes on Linear Regression
Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume
More informationThe Second Anti-Mathima on Game Theory
The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player
More informationLecture 21: Numerical methods for pricing American type derivatives
Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationOnline Appendix to Asset Pricing in Large Information Networks
Onlne Appendx to Asset Prcng n Large Informaton Networks Han N. Ozsoylev and Johan Walden The proofs of Propostons 1-12 have been omtted from the man text n the nterest of brevty. Ths Onlne Appendx contans
More informationProblem Set 3. 1 Offshoring as a Rybzcynski Effect. Economics 245 Fall 2011 International Trade
Due: Thu, December 1, 2011 Instructor: Marc-Andreas Muendler E-mal: muendler@ucsd.edu Economcs 245 Fall 2011 Internatonal Trade Problem Set 3 November 15, 2011 1 Offshorng as a Rybzcynsk Effect There are
More information2.3 Nilpotent endomorphisms
s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms
More informationTheory Appendix for Market Penetration Costs and the New Consumers Margin in International Trade
Theory Appendx for Market Penetraton Costs and the New Consumers Margn n Internatonal Trade Costas Arkolaks y Yale Unversty, Federal Reserve Bank of Mnneapols, and NBER October 00 Abstract Ths s an onlne
More informationThe Existence and Optimality of Equilibrium
The Exstence and Optmalty of Equlbrum Larry Blume March 29, 2006 1 Introducton These notes quckly survey two approaches to the exstence. The frst approach works wth excess demand, whle the second works
More informationLecture 3: Probability Distributions
Lecture 3: Probablty Dstrbutons Random Varables Let us begn by defnng a sample space as a set of outcomes from an experment. We denote ths by S. A random varable s a functon whch maps outcomes nto the
More informationAPPROXIMATE PRICES OF BASKET AND ASIAN OPTIONS DUPONT OLIVIER. Premia 14
APPROXIMAE PRICES OF BASKE AND ASIAN OPIONS DUPON OLIVIER Prema 14 Contents Introducton 1 1. Framewor 1 1.1. Baset optons 1.. Asan optons. Computng the prce 3. Lower bound 3.1. Closed formula for the prce
More informationThe Gains from Input Trade in Firm-Based Models of Importing by Joaquin Blaum, Claire Lelarge and Michael Peters
The Gans from Input Trade n Frm-Based Models of Importng by Joaqun Blaum, Clare Lelarge and Mchael Peters Onlne Appendx Not for Publcaton Ths Appendx contans the followng addtonal results and materal:.
More informationGames and Market Imperfections
Games and Market Imperfectons Q: The mxed complementarty (MCP) framework s effectve for modelng perfect markets, but can t handle mperfect markets? A: At least part of the tme A partcular type of game/market
More informationOnline Appendix: Reciprocity with Many Goods
T D T A : O A Kyle Bagwell Stanford Unversty and NBER Robert W. Stager Dartmouth College and NBER March 2016 Abstract Ths onlne Appendx extends to a many-good settng the man features of recprocty emphaszed
More informationInternational Macroeconomics #4 Pricing to market
Internatonal Macroeconomcs #4 rcng to market. rologue: Marshall-Lerner-Robnson 2. Incomplete pass-through n a smple olgopolstc model 3. TM n monopolstc competton Bénassy-Quéré - Internatonal Macroeconomcs
More informationMicroeconomics: Auctions
Mcroeconomcs: Auctons Frédérc Robert-coud ovember 8, Abstract We rst characterze the PBE n a smple rst prce and second prce sealed bd aucton wth prvate values. The key result s that the expected revenue
More informationCredit Card Pricing and Impact of Adverse Selection
Credt Card Prcng and Impact of Adverse Selecton Bo Huang and Lyn C. Thomas Unversty of Southampton Contents Background Aucton model of credt card solctaton - Errors n probablty of beng Good - Errors n
More informationON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION
Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION
More information( ) 2 ( ) ( ) Problem Set 4 Suggested Solutions. Problem 1
Problem Set 4 Suggested Solutons Problem (A) The market demand functon s the soluton to the followng utlty-maxmzaton roblem (UMP): The Lagrangean: ( x, x, x ) = + max U x, x, x x x x st.. x + x + x y x,
More informationSolution of Linear System of Equations and Matrix Inversion Gauss Seidel Iteration Method
Soluton of Lnear System of Equatons and Matr Inverson Gauss Sedel Iteraton Method It s another well-known teratve method for solvng a system of lnear equatons of the form a + a22 + + ann = b a2 + a222
More informationRevenue comparison when the length of horizon is known in advance. The standard errors of all numbers are less than 0.1%.
Golrezae, Nazerzadeh, and Rusmevchentong: Real-tme Optmzaton of Personalzed Assortments Management Scence 00(0, pp. 000 000, c 0000 INFORMS 37 Onlne Appendx Appendx A: Numercal Experments: Appendx to Secton
More informationPhysics 5153 Classical Mechanics. Principle of Virtual Work-1
P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal
More informationLecture 14: Bandits with Budget Constraints
IEOR 8100-001: Learnng and Optmzaton for Sequental Decson Makng 03/07/16 Lecture 14: andts wth udget Constrants Instructor: Shpra Agrawal Scrbed by: Zhpeng Lu 1 Problem defnton In the regular Mult-armed
More informationThe Geometry of Logit and Probit
The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.
More informationModelli Clamfim Equazione del Calore Lezione ottobre 2014
CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g
More informationCalculus of Variations Basics
Chapter 1 Calculus of Varatons Bascs 1.1 Varaton of a General Functonal In ths chapter, we derve the general formula for the varaton of a functonal of the form J [y 1,y 2,,y n ] F x,y 1,y 2,,y n,y 1,y
More informationWelfare Analysis of Cournot and Bertrand Competition With(out) Investment in R & D
MPRA Munch Personal RePEc Archve Welfare Analyss of Cournot and Bertrand Competton Wth(out) Investment n R & D Jean-Baptste Tondj Unversty of Ottawa 25 March 2016 Onlne at https://mpra.ub.un-muenchen.de/75806/
More informationEcon674 Economics of Natural Resources and the Environment
Econ674 Economcs of Natural Resources and the Envronment Sesson 7 Exhaustble Resource Dynamc An Introducton to Exhaustble Resource Prcng 1. The dstncton between nonrenewable and renewable resources can
More informationWeek 9 Chapter 10 Section 1-5
Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationj) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1
Random varables Measure of central tendences and varablty (means and varances) Jont densty functons and ndependence Measures of assocaton (covarance and correlaton) Interestng result Condtonal dstrbutons
More informationCSCE 790S Background Results
CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each
More informationOnline Appendix for A Simpler Theory of Optimal Capital Taxation by Emmanuel Saez and Stefanie Stantcheva
Onlne Appendx for A Smpler Theory of Optmal Captal Taxaton by Emmanuel Saez and Stefane Stantcheva A. Antcpated Reforms Addtonal Results Optmal tax wth antcpated reform and heterogeneous dscount rates
More information3.2. Cournot Model Cournot Model
Matlde Machado Assumptons: All frms produce an homogenous product The market prce s therefore the result of the total supply (same prce for all frms) Frms decde smultaneously how much to produce Quantty
More informationGeneral viscosity iterative method for a sequence of quasi-nonexpansive mappings
Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,
More informationANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)
Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of
More informatione - c o m p a n i o n
OPERATIONS RESEARCH http://dxdoorg/0287/opre007ec e - c o m p a n o n ONLY AVAILABLE IN ELECTRONIC FORM 202 INFORMS Electronc Companon Generalzed Quantty Competton for Multple Products and Loss of Effcency
More informationMATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS
MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples
More informationKernel Methods and SVMs Extension
Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general
More informationbetween standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we
hermodynamcs, Statstcal hermodynamcs, and Knetcs 4 th Edton,. Engel & P. ed Ch. 6 Part Answers to Selected Problems Q6.. Q6.4. If ξ =0. mole at equlbrum, the reacton s not ery far along. hus, there would
More informationDifference Equations
Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1
More informationOpen Systems: Chemical Potential and Partial Molar Quantities Chemical Potential
Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,
More informationFinal Exam - Solutions
EC 70 - Math for Economsts Samson Alva Department of Economcs, Boston College December 13, 011 Fnal Exam - Solutons 1. Job Search (a) The agent s utlty functon has no explct dependence on tme, except through
More informationMath1110 (Spring 2009) Prelim 3 - Solutions
Math 1110 (Sprng 2009) Solutons to Prelm 3 (04/21/2009) 1 Queston 1. (16 ponts) Short answer. Math1110 (Sprng 2009) Prelm 3 - Solutons x a 1 (a) (4 ponts) Please evaluate lm, where a and b are postve numbers.
More informationOnline Appendix to The Allocation of Talent and U.S. Economic Growth
Onlne Appendx to The Allocaton of Talent and U.S. Economc Growth Not for publcaton) Chang-Ta Hseh, Erk Hurst, Charles I. Jones, Peter J. Klenow February 22, 23 A Dervatons and Proofs The propostons n the
More informationDummy variables in multiple variable regression model
WESS Econometrcs (Handout ) Dummy varables n multple varable regresson model. Addtve dummy varables In the prevous handout we consdered the followng regresson model: y x 2x2 k xk,, 2,, n and we nterpreted
More information