A WELFARE-BASED MEASURE PRODUCTIVITY GROWTH WITH ENVIRONMENTAL EXTERNALITIES. Kelly Chaston* Gregory Swinand** Frank Gollop** and Richard Arnott**

Size: px
Start display at page:

Download "A WELFARE-BASED MEASURE PRODUCTIVITY GROWTH WITH ENVIRONMENTAL EXTERNALITIES. Kelly Chaston* Gregory Swinand** Frank Gollop** and Richard Arnott**"

Transcription

1 A WELFARE-BASED MEASURE OF PRODUCTIVITY GROWTH WITH ENVIRONMENTAL EXTERNALITIES Kelly Chaston* Gregory Swnand** Frank Gollop** and Rchard Arnott** September 1997 Prelmnary draft: Please do not cte or quote wthout the permsson of the authors. ** Department of Economcs * Department of Economcs Boston College Davdson College Chestnut Hll, MA Davdson, NC U.S.A. U.S.A.

2 A Welfare-Based Measure of Productvty Growth wth Envronmental Externaltes * The negatve mpact of envronmental regulatons on productvty growth as conventonally measured s well documented n the lterature (e.g., Gollop and Roberts (1983)). Snce the conventonal measure of productvty growth accounts for the hgher producton costs caused by the envronmental regulatons but not the benefts resultng from reduced polluton, ths result s not surprsng. It does, however, rase the ssue of whether, n ths context, the conventonal measure of productvty growth s n fact measurng what we want t to measure. If we want to measure the rate of techncal progress, then we would lke somehow to net out the effects of envronmental regulaton. And f we want to measure how rapdly socety s gettng better at combnng a gven set of nputs to produce welfare, then we would want to nclude the benefts from polluton reducton. The problem s llustrated dagrammatcally n Fgure 1 whch plots the productonpossbltes fronter before (PPF 0 ) and after (PPF 1 ) a productvty mprovement, wth respect to a generc numérare consumpton good (whch ncludes nvestment) and ar qualty, holdng nputs fxed. In the absence of envronmental regulaton, the pre-mprovement equlbrum s at A snce the producer prce of ar qualty s zero, and the post-mprovement equlbrum s at B. Envronmental regulaton s modeled smply as a floor on ar qualty, a. Wth envronmental regulaton fxed at a, the pre-mprovement equlbrum s at C and the post-mprovement equlbrum s at D. Fnally, the effcent producton pont where the ndfference curve s tangent to the producton-possblty fronter s at E pror to the mprovement and at F afterwards. Suppose, for the sake of argument, that the envronmental regulaton s appled between the tmes at whch PPF 0 and PPF 1 apply. Then the equlbrum over ths tme perod shfts from A to D. The ssue s how the productvty mprovement should be measured. The conventonal procedure s to gnore ar qualty, whch s tantamount to accordng t a zero prce n productvty * Thanks to Alexander Kalenk for preparaton of the dagrams. 1

3 measurement. Accordngly, the productvty mprovement over the perod s measured as A D, and the proportonal productvty mprovement as A D. If the envronmental regulaton had not O A A B been mposed, the correspondng magntudes would be A B and. It s evdent that the O A envronmental regulaton causes the measured productvty mprovement to decrease. INSERT FIGURE 1 HERE Now suppose that n the pre-mprovement stuaton a mnmum ar qualty regulaton of a s n place and that n the post-mprovement stuaton the mnmum regulated ar qualty a s hgher. Ths scenaro s shown n Fgure 2. The equlbrum then shfts from C to G. Accordng to the conventonal measure whch gves a zero prce to ar qualty, the productvty mprovement s cg and the proportonal productvty mprovement cg. But at C, there s a margnal cost or Oc producer prce to producng ar qualty. If one were to use ths producer prce n evaluatng natonal ncome, measured as the heght of the ntersecton pont of the prce lne tangent to C wth the vertcal axs, the pre-mprovement natonal ncome would be O C and the post-mprovement natonal ncome O G, wth a productvty gan of G C and a proportonal productvty gan of G C. A problem wth ths procedure s that t measures natonal ncome wth mnmum ar O C qualty as a reference pont. But there s no natural mnmum ar qualty. A superor procedure s to measure natonal ncome relatve to maxmum ar qualty. Ths s superor for two reasons. Frst, there s a natural maxmum ar qualty clean ar. Second, standard natonal accountng measures do not nclude clean ar. Under ths alternatve procedure, polluton s treated as a bad and subtracted from GNP. Real ncome n the pre-mprovement stuaton s then measured as the heght of the ntersecton pont of the prce lne tangent to C wth the vertcal lne through O, O C. Post-mprovement natonal ncome s O G, the productvty gan C G and the proportonal productvty gan C G. Ths measure of productvty gan fals to correct for the O C loss n productvty due to the strcter envronmental regulatons but does value the reducton n 2

4 polluton at the pre-mprovement producer prce. INSERT FIGURE 2 HERE In contrast, when ar qualty s gven a zero prce, the proportonal productvty gan s the same whether measured wth reference to O or O. Accordngly, we advocate usng O as the approprate orgn. If ths s done, t s natural to defne smoke to be the qualty of clean ar mnus the actual qualty of the ar. Fgure 3 portrays ths conventon. There are then three measures of productvty mprovement n the movement of the economy from C to G, whch dffer accordng to how smoke s valued. The frst s the conventonal measure, whch we denote by I 0 the ndex of productvty mprovement where smoke s prced at zero 1 : I 0 = gc Oc. The second s the measure usng the (negatve) producer prce of smoke at the pre-mprovement equlbrum, whch we denote by I p : I p = G C /O C. And the thrd s the measure usng the (negatve) consumer prce of smoke at the pre-mprovement equlbrum, whch we denote by I q : I q = G C /O C. If the consumer prce exceeds the producer prce n absolute value, whch seems reasonable emprcally, then G C > G C > gc and Oc > O C > O C, whch together mply that I q > I p > I 0. INSERT FIGURE 3 Several comments are n order. Frst, all three ndexes measure the proportonal productvty mprovement as the change n real ncome dvded by real ncome, where real ncome s measured as the value of consumpton and nvestment mnus the cost of smoke; they dffer n how they cost smoke. Second, what s the true proportonal productvty mprovement? Ths reduces to the queston of what s true real ncome. Wetzman (1976) provdes one answer for the stuaton where there s no smoke: True real ncome s the current value of the Hamltonan where the obectve s the maxmzaton of the present value of consumpton, and therefore equals consumpton plus nvestment. How mght ths measure be adapted to nclude smoke? One possblty s to replace consumpton n the defnton by consumpton mnus the utlty cost of 1 The subscrpts on the productvty ndexes are chosen usng the optmal tax theory conventon that p denotes a producer prce and q a consumer prce. 3

5 smoke, or equvalently that level of consumpton whch, n the absence of smoke, would provde the same level of utlty as the current stuaton. Accordng to ths defnton, real natonal ncome n the pre-mprovement stuaton would be OĈ and n the post-mprovement stuaton would be ĜĈ OĜ, and the ndex of productvty mprovement would be. Ths measure s of conceptual OĈ nterest but, because t depends on the propertes of the utlty functon outsde the range of observaton, s not emprcally mplementable. The above dscusson lays out the basc theory on the smplfyng assumpton that nputs are fxed. The next secton provdes emprcally-mplementable measures of I 0, I p, and I q, whch account for changes n the economy s nputs. II. Emprcal Measures We employ the followng notaton p y w s ε σ I market prce of good, = 1,..., m output of good market prce of nput, = 1,...n quantty of nput smoke margnal cost of reducng smoke by one unt margnal beneft of reducng smoke by one unt ndex of total factor productvty growth The conventonal measure of growth n total factor productvty s I * = ( p y M ) ẏ y ẋ ( w M ), (1) where M p y = w s real natonal ncome. The frst term on the rght-hand sde s the value-share weghted average of the growth rate of outputs, and the second term s the value-share weghted average of the growth rate of nputs. The measure s derved n Jorgenson and Grlches (1967) and Jorgenson, Gollop, and Fraumen (1987), nter ala, on the assumptons that 4

6 producton exhbts constant returns to scale, all markets are compettve, and all outputs are marketed. The ssue at hand s how ths measure needs to be modfed when there s an unmarketed output. The tradtonal procedure s smply to gnore the unmarketed output, n whch case (1) contnues to apply, so that I 0 = I * (2) Pttman (1983) proposed a measure that treats smoke as an undesrable output. Natonal ncome s defned as M p p y εs, where ε>0 s the margnal cost of reducng smoke by one unt. Natonal ncome s defned usng clean ar as the reference pont, and values smoke as the negatve of ts margnal cost or producer cost. We refer to ths as the producer-cost measure of growth n total factor productvty: I p = ( p y M p ) ẏ y ( εs M p ) ṡ s ( w w ) ẋ (3) Note that, because of general equlbrum effects, the measured growth n total factor productvty wll dffer dependng on whether the reducton n smoke s acheved through taxaton (wth the revenue beng returned to consumers as a lump sum) or regulaton. Frst, the market-clearng prces wll dffer. Second, snce (under the assumptons of constant returns to scale and perfect competton) the prces of all goods equal the correspondng unt costs: wth regulaton alone, p y = w ; wth taxaton alone p y = w +τs, where τ=ε s the tax rate on smoke, and wth both taxaton and regulaton p y = w +τswhere τ ε n general. The measure we propose s analogous to Pttman s except that smoke s valued at ts (negatve) shadow consumer prce, σ the margnal rate of substtuton between smoke and a numérare composte commodty. Thus, I q = ( p y M q ) ẏ y ( σs M q ) ṡ s ( w w ) ẋ (4) where M q p y σs. When the level of smoke s controlled only by regulaton, 5

7 p y = w, etc. as above. It mght appear that the measure we propose s ad hoc. It can, however, be derved from basc prncples, whch strengthens ts appeal. Start wth a representatve ndvdual s utlty functon, U = U(y 1,..., y m, s). Totally dfferentate the utlty functon wth respect to tme. U = U ẏ + U s ṡ. (5) It makes no dfference for a measure of productvty growth whch good s taken as the numérare; let t be good one. Then usng the frst-order condtons from the ndvdual s optmzaton problem: U U 1 = p ẏ σṡ = (p y ) ẏ y (σs) ṡ s. (6) If we defne M q to be real natonal ncome, then (6) s growth of natonal ncome evaluated at consumer prces (ncludng the consumer shadow prce of smoke). And U = U 1 M ( p y q M q ) ẏ ( σs ) ṡ y M q s (7) gves a measure of the rate of growth of natonal ncome. Then f we subtract off the rate of growth of nputs, we have the welfare-based measure of total factor productvty growth, (4). Ths welfare-based measure of productvty growth has a nce feature. Holdng nputs fxed, the rate of productvty growth has the same sgn as the drecton of change of utlty or welfare. Nether I o nor I p has ths property. We now relate the varous productvty measures. To do so, note that all the productvty measures can be wrtten as I(ρ) = A ρṡ C, (8) B ρs A p ẏ, B p y, and C w ẋ, and ρ s the shadow prce of smoke used n the w 6

8 productvty measure, wth ρ=0 for I 0, ρ=ε for I p, and ρ=σ for I q. Then di(ρ) dρ = ṡ B ρs = ρṡ)s Bṡ + As +(A = 2 (B ρs) (B ρs) 2 sb (B ρs) 2 ( ṡ s + A B ) (9) If, therefore, the rate of growth of market output, A, exceeds (falls short of) the rate of growth of B smoke, then measured productvty growth s ncreasng (decreasng) n ρ, the shadow prce of smoke used n the productvty measure. In the case of central nterest, where envronmental regulaton s becomng ncreasngly strngent so that ṡ s + A B > 0, I > I > I q p 0. Also, usng (8) I(ρ 1 ) I(ρ 0 ) = A ρ 1ṡ B ρ 1 s A ρ 0ṡ B ρ 0 s = sb(ρ 1 ρ 0 )( ṡ s + A B ) (B ρ 1 s)(b ρ 0 s) (10) for any par of values of ρ 0 and ρ 1. Whch measure of productvty growth s superor depends on the ntent of the measure. If the ntent s to measure the rate at whch welfare s ncreasng, nettng out the growth rate of nputs, then I q s the approprate measure. III. Concludng Comments The paper developed a measure of total factor productvty growth desgned to account for the benefcal effects of envronmental regulaton whch we termed a welfare-based measure of productvty growth. To make the essental ponts as starkly as possble, we employed a very smple descrpton of an economy. The theory of productvty measurement has been extended to nclude taxes and subsdes, ntermedate nputs, publc servces, mports and exports, non-constant returns to scale, and non-compettve prcng. The welfare-based measure of productvty growth we have presented could be generalzed to treat all these extensons. To operatonalze the welfare-based measure of productvty growth requres not only 7

9 makng these extensons, but also measurng the margnal beneft from envronmental mprovement, whch s notorously dffcult. Nevertheless, the usefulness of the measure has already been demonstrated n practcal applcatons (Chaston (1997) and Swnand (1997)). 8

10 REFERENCES Chaston, K. (1997). Productvty Measurement n the Presence of Externaltes: An Example from the Electrc Power Industry. Unpublshed Ph.D. thess. Boston College. Gollop, F. and Roberts. M. (1983). Envronmental Regulatons and Productvty Growth: The Case of Fossl-Fueled Electrc Power Generaton. Journal of Poltcal Economy 91, Gray, W. (1987). The Cost of Regulaton: OSHA, EPA and the Productvty Slowdown. Amercan Economcs Revew 77, Jorgenson, D., Gollop, F., and Fraumen, B. (1987). Productvty and U.S. Economc Growth. Cambrdge, MA: Harvard Unversty Press. Jorgenson, D., Grlches, Z. (1967). The Explanaton of Productvty Change. Revew of Economc Studes 34, Pttman, R. (1983). Multlateral Productvty Comparsons wth Undesrable Output. The Economc Journal 93, Swnand, G. (1996). Incorporatng Envronmental Polluton nto Productvty Growth Measures: U.S. Agrculture Mmeo, Boston College. Wetzman, M. (1976). On the Welfare Sgnfcance of Natonal Product n a Dynamc Economy. Quarterly Journal of Economcs 90,

11 Fgure Legends Fgure 1: Pre- and post- mprovement producton-possblty fronters. Fgure 2: Productvty mprovement usng producer prces wth strengthenng envronmental regulaton. Fgure 3: Four measures of productvty mprovement wth strengthenng envronmental regulaton: conventonal gc, usng producer prce for smoke G C, usng consumer Oc O C prce for smoke ( G C / O C ) and usng utlty ĜĈ. OĈ 10

12

13

14

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?

Welfare 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 information

Mixed Taxation and Production Efficiency

Mixed 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 information

Lecture Notes, January 11, 2010

Lecture 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 information

A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegian Business School 2011

A 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 information

Perfect Competition and the Nash Bargaining Solution

Perfect 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

Online Appendix. t=1 (p t w)q t. Then the first order condition shows that

Online 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 information

Economics 2450A: Public Economics Section 10: Education Policies and Simpler Theory of Capital Taxation

Economics 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 information

Online Appendix: Reciprocity with Many Goods

Online 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 information

Allocative Efficiency Measurement with Endogenous Prices

Allocative Efficiency Measurement with Endogenous Prices Allocatve Effcency Measurement wth Endogenous Prces Andrew L. Johnson Texas A&M Unversty John Ruggero Unversty of Dayton December 29, 200 Abstract In the nonparametrc measurement of allocatve effcency,

More information

Equilibrium with Complete Markets. Instructor: Dmytro Hryshko

Equilibrium 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 information

1 The Sidrauski model

1 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 information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Economics 101. Lecture 4 - Equilibrium and Efficiency

Economics 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 information

Let p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods.

Let p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods. Economcs 90 Prce Theory ON THE QUESTION OF SEPARABILITY What we would lke to be able to do s estmate demand curves by segmentng consumers purchases nto groups. In one applcaton, we aggregate purchases

More information

Problem Set 3. 1 Offshoring as a Rybzcynski Effect. Economics 245 Fall 2011 International Trade

Problem 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 information

University of California, Davis Date: June 22, 2009 Department of Agricultural and Resource Economics. PRELIMINARY EXAMINATION FOR THE Ph.D.

University 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 information

Kernel Methods and SVMs Extension

Kernel 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 information

3.2. Cournot Model Cournot Model

3.2. 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 information

How 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 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 information

PROBLEM SET 7 GENERAL EQUILIBRIUM

PROBLEM 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 information

III. Econometric Methodology Regression Analysis

III. Econometric Methodology Regression Analysis Page Econ07 Appled Econometrcs Topc : An Overvew of Regresson Analyss (Studenmund, Chapter ) I. The Nature and Scope of Econometrcs. Lot s of defntons of econometrcs. Nobel Prze Commttee Paul Samuelson,

More information

Test code: ME I/ME II, 2007

Test 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 information

Norm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise

Norm 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 information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON 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 information

k t+1 + c t A t k t, t=0

k 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 information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 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 information

Annexes. EC.1. Cycle-base move illustration. EC.2. Problem Instances

Annexes. EC.1. Cycle-base move illustration. EC.2. Problem Instances ec Annexes Ths Annex frst llustrates a cycle-based move n the dynamc-block generaton tabu search. It then dsplays the characterstcs of the nstance sets, followed by detaled results of the parametercalbraton

More information

Uniqueness of Nash Equilibrium in Private Provision of Public Goods: Extension. Nobuo Akai *

Uniqueness 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 information

Copyright (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

Copyright (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 information

Alternative Methods for Measuring Productivity Growth Including Approaches When Output is Measured With Chain Indexes

Alternative Methods for Measuring Productivity Growth Including Approaches When Output is Measured With Chain Indexes Alternatve Methods for Measurng Productvty Growth Includng Approaches When Output s Measured Wth Chan Indexes Wllam D. Nordhaus 1 June 24, 2002 Abstract The present study s a contrbuton to the theory of

More information

Introduction. 1. The Model

Introduction. 1. The Model H23, Q5 Introducton In the feld of polluton regulaton the problems stemmng from the asymmetry of nformaton between the regulator and the pollutng frms have been thoroughly studed. The semnal works by Wetzman

More information

Supporting Materials for: Two Monetary Models with Alternating Markets

Supporting Materials for: Two Monetary Models with Alternating Markets 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,

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC 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 information

In the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td.

In 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 information

Supporting Information for: Two Monetary Models with Alternating Markets

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 information

,, MRTS is the marginal rate of technical substitution

,, 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 information

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton

More information

Progressivity of Taxes, Skeweness of Income Distribution and Violations of the Progressive Principle in Income Tax Systems

Progressivity of Taxes, Skeweness of Income Distribution and Violations of the Progressive Principle in Income Tax Systems ANALYSES Progressvty of Taxes, Skeweness of Income Dstrbuton and Volatons of the Progressve Prncple n Income Tax Systems Edyta Mazurek Wrocław Unversty of Economcs, Wrocław, Poland Abstract Kakwan and

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

(1 ) (1 ) 0 (1 ) (1 ) 0

(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 information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

Pricing and Resource Allocation Game Theoretic Models

Pricing 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 information

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution Department of Statstcs Unversty of Toronto STA35HS / HS Desgn and Analyss of Experments Term Test - Wnter - Soluton February, Last Name: Frst Name: Student Number: Instructons: Tme: hours. Ads: a non-programmable

More information

THE SUMMATION NOTATION Ʃ

THE SUMMATION NOTATION Ʃ Sngle Subscrpt otaton THE SUMMATIO OTATIO Ʃ Most of the calculatons we perform n statstcs are repettve operatons on lsts of numbers. For example, we compute the sum of a set of numbers, or the sum of the

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department

More information

Design and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm

Design and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm Desgn and Optmzaton of Fuzzy Controller for Inverse Pendulum System Usng Genetc Algorthm H. Mehraban A. Ashoor Unversty of Tehran Unversty of Tehran h.mehraban@ece.ut.ac.r a.ashoor@ece.ut.ac.r Abstract:

More information

Operating conditions of a mine fan under conditions of variable resistance

Operating conditions of a mine fan under conditions of variable resistance Paper No. 11 ISMS 216 Operatng condtons of a mne fan under condtons of varable resstance Zhang Ynghua a, Chen L a, b, Huang Zhan a, *, Gao Yukun a a State Key Laboratory of Hgh-Effcent Mnng and Safety

More information

Unit 5: Government policy in competitive markets I E ciency

Unit 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 information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

More information

SIMPLE LINEAR REGRESSION

SIMPLE LINEAR REGRESSION Smple Lnear Regresson and Correlaton Introducton Prevousl, our attenton has been focused on one varable whch we desgnated b x. Frequentl, t s desrable to learn somethng about the relatonshp between two

More information

Bilateral Trade Flows and Nontraded Goods

Bilateral Trade Flows and Nontraded Goods The Emprcal Economcs Letters, 7(5): (May 008) ISSN 1681 8997 Blateral Trade Flows and Nontraded Goods Yh-mng Ln Department of Appled Economcs, Natonal Chay Unversty. 580 Snmn Road, Chay, 600, Tawan Emal:

More information

Math1110 (Spring 2009) Prelim 3 - Solutions

Math1110 (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 information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 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 information

f(x,y) = (4(x 2 4)x,2y) = 0 H(x,y) =

f(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 information

General Purpose Technologies (GPTs) and their Relevance to ICTs; Trade 4/3/2009 & Growth Implications by Iordanis Petsas

General Purpose Technologies (GPTs) and their Relevance to ICTs; Trade 4/3/2009 & Growth Implications by Iordanis Petsas General Purpose Technologes (GPTs and ther Relevance to ICTs; Trade and Growth Implcatons Presented at CITI, Columba Busness School March 2009 By Unversty of Scranton and Baruch College (CUNY Introducton

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

Economics 8105 Macroeconomic Theory Recitation 1

Economics 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 information

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.

More information

ECTRI FEHRL FERSI Young Researchers Seminar 2015

ECTRI FEHRL FERSI Young Researchers Seminar 2015 DLR.de Chart 1 ECTRI FEHRL FERSI Young Researchers Semnar 2015 TRANSPORT USER BENEFITS MEASURE FOR TRAVEL DEMAND MODELS WITH CONSTRAINTS Chrstan Wnkler Insttute of Transport Research German Aerospace Center

More information

Constant Best-Response Functions: Interpreting Cournot

Constant Best-Response Functions: Interpreting Cournot Internatonal Journal of Busness and Economcs, 009, Vol. 8, No., -6 Constant Best-Response Functons: Interpretng Cournot Zvan Forshner Department of Economcs, Unversty of Hafa, Israel Oz Shy * Research

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

Environmental taxation: Privatization with Different Public Firm s Objective Functions

Environmental taxation: Privatization with Different Public Firm s Objective Functions Appl. Math. Inf. Sc. 0 No. 5 657-66 (06) 657 Appled Mathematcs & Informaton Scences An Internatonal Journal http://dx.do.org/0.8576/ams/00503 Envronmental taxaton: Prvatzaton wth Dfferent Publc Frm s Objectve

More information

CIE4801 Transportation and spatial modelling Trip distribution

CIE4801 Transportation and spatial modelling Trip distribution CIE4801 ransportaton and spatal modellng rp dstrbuton Rob van Nes, ransport & Plannng 17/4/13 Delft Unversty of echnology Challenge the future Content What s t about hree methods Wth specal attenton for

More information

Additional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty

Additional 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 information

Benchmarking in pig production

Benchmarking in pig production Benchmarkng n pg producton Thomas Algot Søllested Egeberg Internatonal A/S Agenda Who am I? Benchmarkng usng Data Envelopment Analyss Focus-Fnder an example of benchmarkng n pg producton 1 Who am I? M.Sc.

More information

Welfare Analysis of Cournot and Bertrand Competition With(out) Investment in R & D

Welfare 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 information

Statistical Hypothesis Testing for Returns to Scale Using Data Envelopment Analysis

Statistical Hypothesis Testing for Returns to Scale Using Data Envelopment Analysis Statstcal Hypothess Testng for Returns to Scale Usng Data nvelopment nalyss M. ukushge a and I. Myara b a Graduate School of conomcs, Osaka Unversty, Osaka 560-0043, apan (mfuku@econ.osaka-u.ac.p) b Graduate

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Lecture 10 Support Vector Machines II

Lecture 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 information

Assortment Optimization under MNL

Assortment Optimization under MNL Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.

More information

More metrics on cartesian products

More 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 information

Price Discrimination of Digital Content

Price Discrimination of Digital Content Prce Dscrmnaton of Dgtal Content Prce Dscrmnaton of Dgtal Content Koj Domon Faculty of Socal Scences, Waseda Unversty -6- Nshwaseda, Shnjuku-ku, Tokyo 69-8050, Japan Tel/Fax: +8 3 5286-45, E-mal: domon@waseda.jp

More information

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 - Chapter 9R -Davd Klenfeld - Fall 2005 9 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys a set

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

Linear Feature Engineering 11

Linear Feature Engineering 11 Lnear Feature Engneerng 11 2 Least-Squares 2.1 Smple least-squares Consder the followng dataset. We have a bunch of nputs x and correspondng outputs y. The partcular values n ths dataset are x y 0.23 0.19

More information

ECE559VV Project Report

ECE559VV Project Report ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate

More information

Credit Card Pricing and Impact of Adverse Selection

Credit 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 information

Copyright 2017 by Taylor Enterprises, Inc., All Rights Reserved. Adjusted Control Limits for P Charts. Dr. Wayne A. Taylor

Copyright 2017 by Taylor Enterprises, Inc., All Rights Reserved. Adjusted Control Limits for P Charts. Dr. Wayne A. Taylor Taylor Enterprses, Inc. Control Lmts for P Charts Copyrght 2017 by Taylor Enterprses, Inc., All Rghts Reserved. Control Lmts for P Charts Dr. Wayne A. Taylor Abstract: P charts are used for count data

More information

Analytical Chemistry Calibration Curve Handout

Analytical Chemistry Calibration Curve Handout I. Quck-and Drty Excel Tutoral Analytcal Chemstry Calbraton Curve Handout For those of you wth lttle experence wth Excel, I ve provded some key technques that should help you use the program both for problem

More information

A New Algorithm for Finding a Fuzzy Optimal. Solution for Fuzzy Transportation Problems

A New Algorithm for Finding a Fuzzy Optimal. Solution for Fuzzy Transportation Problems Appled Mathematcal Scences, Vol. 4, 200, no. 2, 79-90 A New Algorthm for Fndng a Fuzzy Optmal Soluton for Fuzzy Transportaton Problems P. Pandan and G. Nataraan Department of Mathematcs, School of Scence

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Air Age Equation Parameterized by Ventilation Grouped Time WU Wen-zhong

Air Age Equation Parameterized by Ventilation Grouped Time WU Wen-zhong Appled Mechancs and Materals Submtted: 2014-05-07 ISSN: 1662-7482, Vols. 587-589, pp 449-452 Accepted: 2014-05-10 do:10.4028/www.scentfc.net/amm.587-589.449 Onlne: 2014-07-04 2014 Trans Tech Publcatons,

More information

Conjectures in Cournot Duopoly under Cost Uncertainty

Conjectures 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 information

Econ107 Applied Econometrics Topic 9: Heteroskedasticity (Studenmund, Chapter 10)

Econ107 Applied Econometrics Topic 9: Heteroskedasticity (Studenmund, Chapter 10) I. Defnton and Problems Econ7 Appled Econometrcs Topc 9: Heteroskedastcty (Studenmund, Chapter ) We now relax another classcal assumpton. Ths s a problem that arses often wth cross sectons of ndvduals,

More information

Suggested solutions for the exam in SF2863 Systems Engineering. June 12,

Suggested solutions for the exam in SF2863 Systems Engineering. June 12, Suggested solutons for the exam n SF2863 Systems Engneerng. June 12, 2012 14.00 19.00 Examner: Per Enqvst, phone: 790 62 98 1. We can thnk of the farm as a Jackson network. The strawberry feld s modelled

More information

Difference Equations

Difference 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 information

Protection as insurance: Risk aversion, terms of trade uncertainty and optimal trade policy

Protection as insurance: Risk aversion, terms of trade uncertainty and optimal trade policy Protecton as nsurance: Rsk averson, terms of trade uncertanty and optmal trade polcy Ton Glaser KU Leuven Gerald Wllmann KU Leuven August 5, 202 We propose a model n whch producers and consumers face uncertanty

More information

x = , so that calculated

x = , so that calculated Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to

More information

Methodological Alternatives for Productivity Measurement. Chang-Tai Hsieh University of California, Berkeley

Methodological Alternatives for Productivity Measurement. Chang-Tai Hsieh University of California, Berkeley Methodologcal Alternatves for Productvty Measurement Chang-Ta Hseh Unversty of Calforna, Berkeley Outlne Theory of Productvty Measurement - Prmal (Quantty Decomposton) - Dual (Prce Decomposton) - Prce

More information

See Book Chapter 11 2 nd Edition (Chapter 10 1 st Edition)

See Book Chapter 11 2 nd Edition (Chapter 10 1 st Edition) Count Data Models See Book Chapter 11 2 nd Edton (Chapter 10 1 st Edton) Count data consst of non-negatve nteger values Examples: number of drver route changes per week, the number of trp departure changes

More information

Winter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan

Winter 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 information

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations Physcs 178/278 - Davd Klenfeld - Wnter 2015 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons We consder a network of many neurons, each of whch obeys a set of conductancebased,

More information

Market structure and Innovation

Market 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 information

Comparative Advantage and Optimal Trade Taxes

Comparative Advantage and Optimal Trade Taxes Comparatve Advantage and Optmal Trade Taxes Arnaud Costnot (MIT), Dave Donaldson (MIT), Jonathan Vogel (Columba) and Iván Wernng (MIT) June 2014 Motvaton Two central questons... 1. Why do natons trade?

More information

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011 Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected

More information

An (almost) unbiased estimator for the S-Gini index

An (almost) unbiased estimator for the S-Gini index An (almost unbased estmator for the S-Gn ndex Thomas Demuynck February 25, 2009 Abstract Ths note provdes an unbased estmator for the absolute S-Gn and an almost unbased estmator for the relatve S-Gn for

More information