Tutorial 2: Comparative Statics
|
|
- Clyde Johnston
- 6 years ago
- Views:
Transcription
1
2 Tutorial 2: Comparative Statics ECO42F 20 Derivatives and Rules of Differentiation For each of the functions below: (a) Find the difference quotient. (b) Find the derivative dx. (c) Find f (4) and f (3).. y 4x y 5x 2 4x 3. y 5x 2 Find the derivative of each of the following: 4. y f (x) x 3 5. y f (x) 7x 6 6. y f (u) 4u /2 8. y x 2 (4x + 6) 9. y (ax b) ( cx 2) 30. y 5x4 x 2 + 4x 20. y (2 3x) ( + x) (x + 2) 3. y x ( + x 2) x 2 7. y f (x) y f (x) 3x 9. y f (x) x 4 0. y f (w) 9w 4. y f (u) au b 2. y f (x) cx 2 3. y f (w) 3 4 w4/3 4. y f (x) ax 2 +bx+c 5. y 7x 4 +2x 3 3x y ( 9x 2 2 ) (3x + ) 7. y (3x + ) ( 6x 2 5x ) 2. y ( x ) x 22. y 4x x y x + 7 x 24. y ax2 + b cx + d 25. y ( 3x 2 3 ) y ( 8x 3 5 ) y (ax + b) y (6x + 3) y x3 + 2x x y ( ) x 3 + x x y f (t) ln at 34. y f (t) t 3 ln t y e 2t y e t y e ax2 +bx+c 38. y ln 8t y ln (t + 9) 40. y ln x ln ( + x)
3 Find the derivative of each of the following by first taking the natural log of both sides: 4. y x 2 (x + 3) (2x + ) 42. y 3x (x + 2) (x + 4) 43. Given y u 3 + where u 5 x 2, find dx. 44. Given w ay 2 where y bx 2 + cx, find dw dx. 45. Are the following functions monotonic? (a) y x (x > 0) (b) y 4x 5 + x 3 + 3x 46. Given the function f (x) ax + b, find the derivatives of (a) f (x) (b) xf (x) (c) f (x) (d) f (x) x 47. Given the total cost function C Q 3 5Q 2 + 4Q + 75, what is the variable cost function? Find the derivative of the variable cost function, and give the economic meaning of this derivative. 48. Given the average cost function AC Q 2 4Q+24, find the marginal cost function. 49. Given that average revenue is given by AR 60 3Q, find the marginal revenue curve. 50. If f (H, h) λ ( βh) h, where λ and β are positive constants, find f H and f h. 5. If f (T, t) T Qn + T Qnm (t T ) T 2 rqn, where Q, n, m and r are positive constants, find f T and f t. 2
4 Find y x and y x 2 for each of the following functions: 52. y 2x 3 x2 x 2 + 3x y (2x + 3) (x 2 2) 53. y 7x + 5x x 2 2 9x y 4x + 3 x 2 2 Find f x and f y for each of the following functions: 56. f (x, y) x 2 + 5xy y f (x, y) 2x 3y x + y 57. f (x, y) ( x 2 3y ) (x 2) 59. f (x, y) x2 xy 60. If the utility function of an individual takes the form U U (x, y) (x + 2) 2 (y + 3) 3, where U is total utility and x and y are the quantities of the two commodities consumed. (a) Find the marginal utility of each of the two commodities. (b) Find the value of the marginal utility of commodity x when 3 units of each commodity are consumed. 6. Given the national income model below Y C + I + G C a + b(y T ) a > 0, 0 < b < T d + ty d > 0, 0 < t < where Y is national income, C is (planned) consumption expenditure, I is investment expenditure, G is government expenditure and T is taxes. (a) Solve for Y, C and T using Cramer s Rule. (b) Find the government expenditure multiplier and the investment multiplier. (c) How is consumption affected by increased government spending. Do your findings accord with economic logic? 3
5 62. Let the national income model be Y C + I + G C a + b(y T ) a > 0, 0 < b < G gy 0 < g < where Y is national income, C is (planned) consumption expenditure, I is investment expenditure, G is government expenditure and T is taxes. (a) Solve for Y, C and G and state what restriction is required on the parameters for a solution to exist. (b) Give the economic meaning of the parameter g. (c) Find the tax multiplier and the investment multiplier, and give the economic intuition behind their signs. (d) Show that an increase in tax has a negative impact on consumption. 63. Consider the following simple Keynesian macroeconomic model Y C + I + G C Y I R where Y is national income, C is (planned) consumption expenditure, I is investment expenditure, G is government expenditure and R is the interest rate. Use Cramer s Rule to solve for Y, and evaluate the effect of a R50 billion decrease in government spending on national income. 64. Use Jacobian determinants to test the existence of functional dependence between the paired functions below: (a) y 3x 2 + x 2 y 2 9x 4 + 6x2 (x 2 + 4) + x 2 (x 2 + 8) + 2 (b) y 3x 2 + 2x2 2 y 2 5x + 4
6 2 General Function Models (Total Differentiation). Find the total differential, given: (a) y x ( x ) (b) y (x 8) (7x + 5) (c) y x x 2 + (d) y 0x 3 2x3 2 (e) y 3x 2 + 4x3 2 (f) y 3x 2 + xz 2z 3 (g) y 2x + 9x x 2 + x Given the consumption function C a + by (where a > 0, 0 < b <, Y > 0), find the income elasticity of consumption ε CY. 3. Find the total derivative dz, given (a) z f (x, y) 2x + xy y 2 where x g (y) 3y 2 (b) z f (x, y) (x + y) (x 2y) where x g (y) 2 7y 4. Find the rate of change of output with respect to time, if the production function is Q A(t)K α L β, where A(t) is an increasing function of t, K K 0 e at and L L 0 +bt. 5. Given an isoquant which represents a production function y f (x, x 2 ), where y is some constant level of output. Use total differentials to derive an expression for the marginal rate of technical substitution between the factors of production, x and x 2. 5
7 3 Derivatives of Implicit Functions. Given F (y, x) x 3 2x 2 y + 3xy , is an implicit function y f (x) defined around the point (y 3, x )? If so, find by the implicit function rule, and dx evaluate it at this point. 2. Given F (y, x) 2x 2 + 4xy y , is an implicit function y f (x) defined around the point (y 3, x )? If so, find by the implicit function rule, and dx evaluate it at this point. 3. For each of the given equations F (y, x) 0, find by (i) solving for y, (ii) the dx implicit function rule, and (iii) taking the total differential: (a) F (y, x) x 2 + xy 4 0 (b) F (y, x) xy 2 0 (c) F (y, x) 3x 3 y 2x Given F (y, x) x 2 3xy + y 3 7 0, check that an implicit function y f (x) is defined around the point (y 3, x 4). Hence find by the implicit function rule. dx 5. Given F (y, x) ye y x 0, verify the conditions of the implicit function theorem. 6. Consider the function corresponding to the upper semi-circle of the set of points in the xy-plane satisfying x 2 + y 2 4. Find dx by: (a) explicitly writing out the function y f (x) and finding its derivative. (b) the implicit function rule. 7. Given F (y, x) 0x y + x 2 x 2 + y 2 x 2 0, find the value x 2 for which the implicit function y f (x, x 2 ) is defined around the point (y, x 2, x 2?)? Hence y find the values of and y at this point. x x 2 8. Assuming that the equation F (U, x, y) 0 implicitly defines a utility function U f (x, y), find an expression for the marginal rate of substitution. 6
8 9. The market for a single commodity is described by the following set of equations Q d Q s Q d D(P, G) Q s S(P, N) where G is the price of substitutes and N is the price of inputs, and G and N are exogenously given. The following assumptions are imposed D P S P < 0, D G > 0 > 0, S N < 0 Use the implicit function theorem to show that the system implicitly defines the functions P (G, N) and Q (G, N). Hence use the implicit function rule to find and sign the derivatives P G, Q G, P N 0. Consider the system of equations and Q N. F (x, y; a) x 2 + axy + y 2 0 F 2 (x, y; a) x 2 + y 2 a around the point (x 0, y, a 2). What is the impact of a change in a on x and y?. Let the national income model be written in the form Y C I 0 G 0 0 C α β (Y T ) 0 T γ δy 0 where the endogenous variables are Y (national income), C ((planned) consumption expenditure) and T (taxation), and the exogenous variables are I 0 (investment expenditure) and G 0 (government expenditure). (a) Find the government expenditure multiplier by the implicit function rule. (b) Find the nonincome tax multiplier by the implicit function rule. 7
9 Tutorial 2: Comparative Statics SELECTED SOLUTIONS ECO42F 20 Derivatives and Rules of Di erentiation. (a) y x 8x 0 + 4x 2. (a) y x 0x 0 + 5x 3. (a) y x 5 (b) dx 8x (c) f 0 (4) 32; f 0 (3) 24: 4 (b) dx 0x 4 (c) f 0 (4) 36; f 0 (3) 26: (b) dx 5 (c) f 0 (4) 5; f 0 (3) 5: 4. f 0 (x) 3x 2 5. f 0 (x) 42x 5 6. f 0 (u) 2u 2 2 p u 7. f 0 (x) 0 8. f 0 (x) 3x 2 3 x 2 9. f 0 (x) 4x 5 4 x 5 0. f 0 (w) 36w 3. f 0 (u) abu b 2. f 0 (x) 2cx 3. f 0 (w) w 3 4. f 0 (x) 2ax + b dx 28x3 + 6x 2 3 dx 3 27x2 + 6x 2x (x + ) dx x (9x + 4) dx 33. f 0 (t) t 34. f 0 (t) 2t 2 ( + 3 ln t) dt 2e2t+4 dt 2tet2 + dx (2ax + b) eax2 +bx+c dt 5 t dt t + 9 dx x ( + x) 4. dx x (7x + 6) (x + 3) 2 (2x + ) dx 3 8 x 2 (x + 2) 2 (x + 4) 2
10 47. V C Q 3 5Q 2 + 4Q (Recall that to nd variable costs, you drop the xed costs) dv C dq 3Q2 0Q + 4 This is the same as the marginal cost function. (Check this by di erentiating the total cost function - you will get the same result) 64. (a) jjj 0 The functions are dependent. (b) jjj 20x 2 The functions are independent. 2 General Function Models (Total Di erentiation). (a) 3 x 2 + dx (b) (4x 5) dx x 2 (c) (x 2 + ) 2 dx (d) 30x 2 dx 6x 2 2 dx 2 (e) 6x dx + 2x 2 2 dx 2 (f) (6x + z) dx + x 6z 2 dz (g) (2 + 9x 2 ) dx + (9x + 2x 2 ) dx 2 2. dc dy b and C Y a + by Y ) " CY dcdy CY b (a + by ) Y by (a + by ) 3. (a) dz (b) dz 0y + 9y2 02y 30 2
11 @Q da + @L dl da dt dt dl dt K L i A 0 (t) h + A(t)K L i ak0 e at + h K L i A 0 (t) + a A K K 0e at + b A L h A(t)K L i [b] 5. We know that y will be constant along a given isoquant. The total di erential is given by Because y is constant, dx 2 2 dx 2 dx 2 dx 3 Derivatives of Implicit dx MRT 2. (a) Does the function F have continuous partial derivatives? Yes. F y 2x 2 + 6xy F x 3x 2 4xy + 3y 2 (b) Is F y 6 0 at a point satisfying F (y; x) 0? F (y 3; x ) () 3 2 () 2 (3) + 3 () (3) and F y (y 3; x ) 2 () () (3) Therefore, an implicit function y f (x) is de ned around the point (y 3; x ) and we can use the implict function rule to nd dx F x 3x 2 4xy + 3y 2 F y 2x 2 + 6xy 3
12 At the point (y 3; x )! dx 3 () 2 4 () (3) + 3 (3) 2 2 () () (3) An implicit function y f (x) is de ned around the point (y 3; x ) and we can use the implict function rule to nd dx 4x + 4y 2 4x 4y 3 3 at the point (y 3; x ) : 4. (a) Does the function F have continuous partial derivatives? Yes. F y 3x + 3y 2 F x 2x 3y (b) Is F y 6 0 at a point satisfying F (y; x) 0? F (y 3; x 4) (4) 2 3 (4) (3) + (3) and F y (y 3; x 4) 3 (4) + 3 (3) Therefore, an implicit function y f (x) is de ned around the point (y 3; x 4) and we can use the implict function rule to nd dx F x 2x 3y F y 3x + 3y 2 5. (a) Does the function F have continuous partial derivatives? Yes. F y ( + y) e y F x (b) Is F y 6 0 at a point satisfying F (y; x) 0? From (a) we can see that F y 0, y 4
13 Thus we can nd combinations of (y 0 ; x 0 ) ; y 0 6 that satisfy F (y 0 ; x 0 ) 0 and F y (y 0 ; x 0 ) 6 0. For example, the point (y ; x e) F (y ; x e) () e e 0 and F y (y ; x e) ( + ) e 2e 6 0 Therefore, an implicit function y f (x) is de ned around the point (y ; x e) and we can use the implict function rule to nd dx F x F y ( + y) e y ( + y) e y 6. (a) (b) dx x 4 x2 2 dx x y 7. x Rewrite the system as two equations by letting Q Q d Q s : Q D(P; G) Q S(P; N) or equivalently: F (P; Q; G; N) D(P; G) Q 0 F 2 (P; Q; G; N) S(P; N) Q 0 5
14 Check the conditions for the implicit function theorem: (a) (b) F P F Q F F N 0 F 2 P F 2 Q F 2 G 0 F 2 Therefore, continuous partial derivatives wrt all endogenous and exogenous variables exist. Therefore, jjj 6 0 jjj > 0 FP FQ FP 2 FQ 2 + Conditions for implicit function satis ed, and so system implicitly de nes the functions P (G; N) and Q (G; N) : Use the implicit function rule: 6
15 First, take the total di erential of each equation: df F P dp + F QdQ + F GdG + F NdN 0 ) dp dq dg dp dq dg df 2 F 2 P dp + F 2 QdQ + F 2 GdG + F 2 NdN 0 ) dp Putting equations () and (2) in matrix form dp dq dq + 0 dn 0 dp dq 0 dg + dn (3) Note that the coe cient matrix is the Jacobian matrix J. To and we partially di erentiate with respect with G, constant which implies that dn 0. Setting dn 0 and dividing through by dg in (3) gives: (Note the partial derivative signs - we are di erentiating with respect to G, holding N constant). Use Cramer s rule to @G : > 0 7
16 > 0 To and we partially di erentiate with respect with N, constant which implies that dg 0. Setting dg 0 and dividing through by dn in (3) gives: (Note the partial derivative signs - we are di erentiating with respect to N, holding G constant). Use Cramer s rule to @N : > 0 < At the point (x 0; y ; a 2), the equations F 0 and F 2 0 are satis ed. 8
17 The F i functions possess continuous partial derivatives: Fx 2x + ay Fy ax + 2y Fa xy F 2 x 2x F 2 y 2y F 2 a 2a Thus, if the Jacobian jjj 6 0 at point (x 0; y ; a 2) we can use the implicit function theorem. First take the total di erential of the system (2x + ay) dx + (ax + 2y) + xyda 0 2xdx + 2y 2ada 0 Moving the exogenous di erential da to the RHS and writing in matrix form we get 2x + ay ax + 2y dx xy da 2x 2y 2a where the coe cient matrix of the LHS is the Jacobian jjj F x Fy 2x + ay ax + 2y 2x 2y At the point (x 0; y ; a 2), jjj Therefore the implicit function rule applies and " 2x + ay ax + 2x F 2 x F 2 xy 2a 9
18 Use Cramer s rule to nd an expression at the point (x 0; y ; a 2) xy ax + 2a jjj Use Cramer s rule to nd an expression at the point (x 0; y ; a 2) 2x + xy 2x jjj See Chiang, example 6, pages @ + 0
ECON0702: Mathematical Methods in Economics
ECON0702: Mathematical Methods in Economics Yulei Luo SEF of HKU January 14, 2009 Luo, Y. (SEF of HKU) MME January 14, 2009 1 / 44 Comparative Statics and The Concept of Derivative Comparative Statics
More informationTutorial 1: Linear Algebra
Tutorial : Linear Algebra ECOF. Suppose p + x q, y r If x y, find p, q, r.. Which of the following sets of vectors are linearly dependent? [ ] [ ] [ ] (a),, (b),, (c),, 9 (d) 9,,. Let Find A [ ], B [ ]
More informationECON501 - Vector Di erentiation Simon Grant
ECON01 - Vector Di erentiation Simon Grant October 00 Abstract Notes on vector di erentiation and some simple economic applications and examples 1 Functions of One Variable g : R! R derivative (slope)
More informationEcon Review Set 2 - Answers
Econ 4808 Review Set 2 - Answers EQUILIBRIUM ANALYSIS 1. De ne the concept of equilibrium within the con nes of an economic model. Provide an example of an economic equilibrium. Economic models contain
More informationBEE1024 Mathematics for Economists
BEE1024 Mathematics for Economists Dieter and Jack Rogers and Juliette Stephenson Department of Economics, University of Exeter February 1st 2007 1 Objective 2 Isoquants 3 Objective. The lecture should
More informationPartial Differentiation
CHAPTER 7 Partial Differentiation From the previous two chapters we know how to differentiate functions of one variable But many functions in economics depend on several variables: output depends on both
More informationLecture Notes for Chapter 12
Lecture Notes for Chapter 12 Kevin Wainwright April 26, 2014 1 Constrained Optimization Consider the following Utility Max problem: Max x 1, x 2 U = U(x 1, x 2 ) (1) Subject to: Re-write Eq. 2 B = P 1
More informationComparative Statics. Autumn 2018
Comparative Statics Autumn 2018 What is comparative statics? Contents 1 What is comparative statics? 2 One variable functions Multiple variable functions Vector valued functions Differential and total
More informationDefinition: If y = f(x), then. f(x + x) f(x) y = f (x) = lim. Rules and formulas: 1. If f(x) = C (a constant function), then f (x) = 0.
Definition: If y = f(x), then Rules and formulas: y = f (x) = lim x 0 f(x + x) f(x). x 1. If f(x) = C (a constant function), then f (x) = 0. 2. If f(x) = x k (a power function), then f (x) = kx k 1. 3.
More informationBusiness Mathematics. Lecture Note #13 Chapter 7-(1)
1 Business Mathematics Lecture Note #13 Chapter 7-(1) Applications of Partial Differentiation 1. Differentials and Incremental Changes 2. Production functions: Cobb-Douglas production function, MP L, MP
More informationAY Term 1 Examination November 2013 ECON205 INTERMEDIATE MATHEMATICS FOR ECONOMICS
AY203-4 Term Examination November 203 ECON205 INTERMEDIATE MATHEMATICS FOR ECONOMICS INSTRUCTIONS TO CANDIDATES The time allowed for this examination paper is TWO hours 2 This examination paper contains
More informationECON 186 Class Notes: Derivatives and Differentials
ECON 186 Class Notes: Derivatives and Differentials Jijian Fan Jijian Fan ECON 186 1 / 27 Partial Differentiation Consider a function y = f (x 1,x 2,...,x n ) where the x i s are all independent, so each
More informationImplicit Function Theorem: One Equation
Natalia Lazzati Mathematics for Economics (Part I) Note 3: The Implicit Function Theorem Note 3 is based on postol (975, h 3), de la Fuente (2, h5) and Simon and Blume (994, h 5) This note discusses the
More informationz = f (x; y) = x 3 3x 2 y x 2 3
BEE Mathematics for Economists Week, ecture Thursday..7 Functions in two variables Dieter Balkenborg Department of Economics University of Exeter Objective This lecture has the purpose to make you familiar
More informationLecture # 1 - Introduction
Lecture # 1 - Introduction Mathematical vs. Nonmathematical Economics Mathematical Economics is an approach to economic analysis Purpose of any approach: derive a set of conclusions or theorems Di erences:
More informationEC /11. Math for Microeconomics September Course, Part II Lecture Notes. Course Outline
LONDON SCHOOL OF ECONOMICS Professor Leonardo Felli Department of Economics S.478; x7525 EC400 20010/11 Math for Microeconomics September Course, Part II Lecture Notes Course Outline Lecture 1: Tools for
More informationLakehead University ECON 4117/5111 Mathematical Economics Fall 2002
Test 1 September 20, 2002 1. Determine whether each of the following is a statement or not (answer yes or no): (a) Some sentences can be labelled true and false. (b) All students should study mathematics.
More informationExercises for Chapter 7
Exercises for Chapter 7 Exercise 7.1 The following simple macroeconomic model has four equations relating government policy variables to aggregate income and investment. Aggregate income equals consumption
More informationChapter 4 Differentiation
Chapter 4 Differentiation 08 Section 4. The derivative of a function Practice Problems (a) (b) (c) 3 8 3 ( ) 4 3 5 4 ( ) 5 3 3 0 0 49 ( ) 50 Using a calculator, the values of the cube function, correct
More informationECON0702: Mathematical Methods in Economics
ECON0702: Mathematical Methods in Economics Yulei Luo SEF of HKU January 12, 2009 Luo, Y. (SEF of HKU) MME January 12, 2009 1 / 35 Course Outline Economics: The study of the choices people (consumers,
More informationa = (a 1; :::a i )
1 Pro t maximization Behavioral assumption: an optimal set of actions is characterized by the conditions: max R(a 1 ; a ; :::a n ) C(a 1 ; a ; :::a n ) a = (a 1; :::a n) @R(a ) @a i = @C(a ) @a i The rm
More informationMonetary Economics Notes
Monetary Economics Notes Nicola Viegi 2 University of Pretoria - School of Economics Contents New Keynesian Models. Readings...............................2 Basic New Keynesian Model...................
More informationRules of Differentiation
Rules of Differentiation The process of finding the derivative of a function is called Differentiation. 1 In the previous chapter, the required derivative of a function is worked out by taking the limit
More informationMTAEA Implicit Functions
School of Economics, Australian National University February 12, 2010 Implicit Functions and Their Derivatives Up till now we have only worked with functions in which the endogenous variables are explicit
More informationOptimal Saving under Poisson Uncertainty: Corrigendum
Journal of Economic Theory 87, 194-217 (1999) Article ID jeth.1999.2529 Optimal Saving under Poisson Uncertainty: Corrigendum Klaus Wälde Department of Economics, University of Dresden, 01062 Dresden,
More informationFunctions. A function is a rule that gives exactly one output number to each input number.
Functions A function is a rule that gives exactly one output number to each input number. Why it is important to us? The set of all input numbers to which the rule applies is called the domain of the function.
More informationComparative-Static Analysis of General Function Models
Comparative-Static Analysis of General Function Models The study of partial derivatives has enabled us to handle the simpler type of comparative-static problems, in which the equilibrium solution of the
More information1 Objective. 2 Constrained optimization. 2.1 Utility maximization. Dieter Balkenborg Department of Economics
BEE020 { Basic Mathematical Economics Week 2, Lecture Thursday 2.0.0 Constrained optimization Dieter Balkenborg Department of Economics University of Exeter Objective We give the \ rst order conditions"
More informationECONOMICS TRIPOS PART I. Friday 15 June to 12. Paper 3 QUANTITATIVE METHODS IN ECONOMICS
ECONOMICS TRIPOS PART I Friday 15 June 2007 9 to 12 Paper 3 QUANTITATIVE METHODS IN ECONOMICS This exam comprises four sections. Sections A and B are on Mathematics; Sections C and D are on Statistics.
More informationECON2285: Mathematical Economics
ECON2285: Mathematical Economics Yulei Luo Economics, HKU September 17, 2018 Luo, Y. (Economics, HKU) ME September 17, 2018 1 / 46 Static Optimization and Extreme Values In this topic, we will study goal
More informationTvestlanka Karagyozova University of Connecticut
September, 005 CALCULUS REVIEW Tvestlanka Karagyozova University of Connecticut. FUNCTIONS.. Definition: A function f is a rule that associates each value of one variable with one and only one value of
More informationA time series plot: a variable Y t on the vertical axis is plotted against time on the horizontal axis
TIME AS A REGRESSOR A time series plot: a variable Y t on the vertical axis is plotted against time on the horizontal axis Many economic variables increase or decrease with time A linear trend relationship
More informationMaths for Economists Tutorial 0: Revision of Basic Concepts
Maths for Economists Tutorial 0: Revision of Basic Concepts ECO42F 20 In the following paired statements, let p be the first statement and q the second. Indicate for each case whether q is necessary or
More informationSession: 09 Aug 2016 (Tue), 10:00am 1:00pm; 10 Aug 2016 (Wed), 10:00am 1:00pm &3:00pm 5:00pm (Revision)
Seminars on Mathematics for Economics and Finance Topic 2: Topics in multivariate calculus, concavity and convexity 1 Session: 09 Aug 2016 (Tue), 10:00am 1:00pm; 10 Aug 2016 (Wed), 10:00am 1:00pm &3:00pm
More informationDEPARTMENT OF MANAGEMENT AND ECONOMICS Royal Military College of Canada. ECE Modelling in Economics Instructor: Lenin Arango-Castillo
Page 1 of 5 DEPARTMENT OF MANAGEMENT AND ECONOMICS Royal Military College of Canada ECE 256 - Modelling in Economics Instructor: Lenin Arango-Castillo Final Examination 13:00-16:00, December 11, 2017 INSTRUCTIONS
More informationKeynesian Macroeconomic Theory
2 Keynesian Macroeconomic Theory 2.1. The Keynesian Consumption Function 2.2. The Complete Keynesian Model 2.3. The Keynesian-Cross Model 2.4. The IS-LM Model 2.5. The Keynesian AD-AS Model 2.6. Conclusion
More informationMathematical Economics: Lecture 9
Mathematical Economics: Lecture 9 Yu Ren WISE, Xiamen University October 17, 2011 Outline 1 Chapter 14: Calculus of Several Variables New Section Chapter 14: Calculus of Several Variables Partial Derivatives
More informationENGI Partial Differentiation Page y f x
ENGI 344 4 Partial Differentiation Page 4-0 4. Partial Differentiation For functions of one variable, be found unambiguously by differentiation: y f x, the rate of change of the dependent variable can
More informationThe Implicit Function Theorem (IFT): key points
The Implicit Function Theorem (IFT): key points 1 The solution to any economic model can be characterized as the level set (LS) corresponding to zero of some function 1 Model: S = S(p;t), D = D(p), S =
More informationProblem Set #06- Answer key First CompStat Problem Set
Fall 2015 Problem Set #06- Answer key First CompStat Problem Set ARE211 (1) Inproblem 3 on your last problem set, you foundthemaximum and minimumdistance from the origin to the ellipse x 2 1 +x 1x 2 +x
More informationMathematical Economics Part 2
An Introduction to Mathematical Economics Part Loglinear Publishing Michael Sampson Copyright 00 Michael Sampson. Loglinear Publications: http://www.loglinear.com Email: mail@loglinear.com. Terms of Use
More informationCHAPTER 4: HIGHER ORDER DERIVATIVES. Likewise, we may define the higher order derivatives. f(x, y, z) = xy 2 + e zx. y = 2xy.
April 15, 2009 CHAPTER 4: HIGHER ORDER DERIVATIVES In this chapter D denotes an open subset of R n. 1. Introduction Definition 1.1. Given a function f : D R we define the second partial derivatives as
More informationLecture 6: Contraction mapping, inverse and implicit function theorems
Lecture 6: Contraction mapping, inverse and implicit function theorems 1 The contraction mapping theorem De nition 11 Let X be a metric space, with metric d If f : X! X and if there is a number 2 (0; 1)
More informationES10006: Core skills for economists: Mathematics 2
ES10006: Core skills for economists: Mathematics 2 Seminar 6 Problem set no. 4: Questions 1c, 1d, 2, 4, 7, 8b First-order linear differential equations From Chiang and Wainwright (2005, Section 15.1),
More informationz = f (x; y) f (x ; y ) f (x; y) f (x; y )
BEEM0 Optimization Techiniques for Economists Lecture Week 4 Dieter Balkenborg Departments of Economics University of Exeter Since the fabric of the universe is most perfect, and is the work of a most
More informationMathematics for Economics ECON MA/MSSc in Economics-2017/2018. Dr. W. M. Semasinghe Senior Lecturer Department of Economics
Mathematics for Economics ECON 53035 MA/MSSc in Economics-2017/2018 Dr. W. M. Semasinghe Senior Lecturer Department of Economics MATHEMATICS AND STATISTICS LERNING OUTCOMES: By the end of this course unit
More informationDifferentiation. 1. What is a Derivative? CHAPTER 5
CHAPTER 5 Differentiation Differentiation is a technique that enables us to find out how a function changes when its argument changes It is an essential tool in economics If you have done A-level maths,
More informationIntegration by Substitution
Integration by Substitution MATH 151 Calculus for Management J. Robert Buchanan Department of Mathematics Fall 2018 Objectives After this lesson we will be able to use the method of integration by substitution
More informationMath Review Solutions Set for Econ 321
Math Review Solutions Set for Econ 3. Practice Problems: dπ. dq Q 4 Q + 6 Q8. PP-. :. MR- Le Axis - Right Axis 8 6 4 8 6 4 3 4 5 6 7 8 9 8 6 4 8 6 4 dπ. dq Q 4Q 6Q Q. 8 6 4 8 6 4 PP-. :. 3 4 5 6 MR- Le/
More informationEC5555 Economics Masters Refresher Course in Mathematics September 2013
EC5555 Economics Masters Refresher Course in Mathematics September 013 Lecture 3 Differentiation Francesco Feri Rationale for Differentiation Much of economics is concerned with optimisation (maximise
More informationThe Ramsey Model. Alessandra Pelloni. October TEI Lecture. Alessandra Pelloni (TEI Lecture) Economic Growth October / 61
The Ramsey Model Alessandra Pelloni TEI Lecture October 2015 Alessandra Pelloni (TEI Lecture) Economic Growth October 2015 1 / 61 Introduction Introduction Introduction Ramsey-Cass-Koopmans model: di ers
More informationMicroeconomics, Block I Part 1
Microeconomics, Block I Part 1 Piero Gottardi EUI Sept. 26, 2016 Piero Gottardi (EUI) Microeconomics, Block I Part 1 Sept. 26, 2016 1 / 53 Choice Theory Set of alternatives: X, with generic elements x,
More informationTopic 7. Part I Partial Differentiation Part II Marginal Functions Part II Partial Elasticity Part III Total Differentiation Part IV Returns to scale
Topic 7 Part I Partial Differentiation Part II Marginal Functions Part II Partial Elasticity Part III Total Differentiation Part IV Returns to scale Jacques (4th Edition): 5.1-5.3 1 Functions of Several
More informationQueen s University. Department of Economics. Instructor: Kevin Andrew
Figure 1: 1b) GDP Queen s University Department of Economics Instructor: Kevin Andrew Econ 320: Math Assignment Solutions 1. (10 Marks) On the course website is provided an Excel file containing quarterly
More informationAggregate Supply. Econ 208. April 3, Lecture 16. Econ 208 (Lecture 16) Aggregate Supply April 3, / 12
Aggregate Supply Econ 208 Lecture 16 April 3, 2007 Econ 208 (Lecture 16) Aggregate Supply April 3, 2007 1 / 12 Introduction rices might be xed for a brief period, but we need to look beyond this The di
More informationFoundations of Modern Macroeconomics Second Edition
Foundations of Modern Macroeconomics Second Edition Chapter 5: The government budget deficit Ben J. Heijdra Department of Economics & Econometrics University of Groningen 1 September 2009 Foundations of
More information1 Functions and Graphs
1 Functions and Graphs 1.1 Functions Cartesian Coordinate System A Cartesian or rectangular coordinate system is formed by the intersection of a horizontal real number line, usually called the x axis,
More informationThe Implicit Function Theorem (IFT): key points
The Implicit Function Theorem (IFT): key points 1 The solution to any economic model can be characterized as the level set corresponding to zero of some function 1 Model: S = S(p;t), D = D(p), S = D; p
More informationBEEM103 UNIVERSITY OF EXETER. BUSINESS School. January 2009 Mock Exam, Part A. OPTIMIZATION TECHNIQUES FOR ECONOMISTS solutions
BEEM03 UNIVERSITY OF EXETER BUSINESS School January 009 Mock Exam, Part A OPTIMIZATION TECHNIQUES FOR ECONOMISTS solutions Duration : TWO HOURS The paper has 3 parts. Your marks on the rst part will be
More informationThere are a number of related results that also go under the name of "chain rules." For example, if y=f(u) u=g(v), and v=h(x), dy = dx
CHAIN RULE DIFFERENTIATION If y is a function of u ie y f(u) and u is a function of x ie u g(x) then y is related to x through the intermediate function u ie y f(g(x) ) y is differentiable with respect
More informationCh3 Operations on one random variable-expectation
Ch3 Operations on one random variable-expectation Previously we define a random variable as a mapping from the sample space to the real line We will now introduce some operations on the random variable.
More informationECON607 Fall 2010 University of Hawaii Professor Hui He TA: Xiaodong Sun Assignment 2
ECON607 Fall 200 University of Hawaii Professor Hui He TA: Xiaodong Sun Assignment 2 The due date for this assignment is Tuesday, October 2. ( Total points = 50). (Two-sector growth model) Consider the
More informationSimultaneous equation model (structural form)
Simultaneous equation model (structural form) Structural form is such a form of the model in which all the equations and the parameters have deep economic interpretation. Usually it means that the signs
More information25. Chain Rule. Now, f is a function of t only. Expand by multiplication:
25. Chain Rule The Chain Rule is present in all differentiation. If z = f(x, y) represents a two-variable function, then it is plausible to consider the cases when x and y may be functions of other variable(s).
More informationECON2285: Mathematical Economics
ECON2285: Mathematical Economics Yulei Luo FBE, HKU September 2, 2018 Luo, Y. (FBE, HKU) ME September 2, 2018 1 / 35 Course Outline Economics: The study of the choices people (consumers, firm managers,
More informationParts Manual. EPIC II Critical Care Bed REF 2031
EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4
More informationEC744 Lecture Notes: Economic Dynamics. Prof. Jianjun Miao
EC744 Lecture Notes: Economic Dynamics Prof. Jianjun Miao 1 Deterministic Dynamic System State vector x t 2 R n State transition function x t = g x 0 ; t; ; x 0 = x 0 ; parameter 2 R p A parametrized dynamic
More informationEC /11. Math for Microeconomics September Course, Part II Problem Set 1 with Solutions. a11 a 12. x 2
LONDON SCHOOL OF ECONOMICS Professor Leonardo Felli Department of Economics S.478; x7525 EC400 2010/11 Math for Microeconomics September Course, Part II Problem Set 1 with Solutions 1. Show that the general
More informationEcon Slides from Lecture 10
Econ 205 Sobel Econ 205 - Slides from Lecture 10 Joel Sobel September 2, 2010 Example Find the tangent plane to {x x 1 x 2 x 2 3 = 6} R3 at x = (2, 5, 2). If you let f (x) = x 1 x 2 x3 2, then this is
More informationLecture Notes on. Mathematics for Economists. Chien-Fu CHOU
Lecture Notes on Mathematics for Economists Chien-Fu CHOU September 2006 Contents Lecture 1 Static Economic Models and The Concept of Equilibrium 1 Lecture 2 Matrix Algebra 5 Lecture 3 Vector Space and
More informationOne Variable Calculus. Izmir University of Economics Econ 533: Quantitative Methods and Econometrics
Izmir University of Economics Econ 533: Quantitative Methods and Econometrics One Variable Calculus Introduction Finding the best way to do a specic task involves what is called an optimization problem.
More informationSection 3.1 Homework Solutions. 1. y = 5, so dy dx = y = 3x, so dy dx = y = x 12, so dy. dx = 12x11. dx = 12x 13
Math 122 1. y = 5, so dx = 0 2. y = 3x, so dx = 3 3. y = x 12, so dx = 12x11 4. y = x 12, so dx = 12x 13 5. y = x 4/3, so dx = 4 3 x1/3 6. y = 8t 3, so = 24t2 7. y = 3t 4 2t 2, so = 12t3 4t 8. y = 5x +
More informationFourier transforms. c n e inπx. f (x) = Write same thing in an equivalent form, using n = 1, f (x) = l π
Fourier transforms We can imagine our periodic function having periodicity taken to the limits ± In this case, the function f (x) is not necessarily periodic, but we can still use Fourier transforms (related
More informationLecture 7 - Separable Equations
Lecture 7 - Separable Equations Separable equations is a very special type of differential equations where you can separate the terms involving only y on one side of the equation and terms involving only
More informationFunctions of One Variable
Functions of One Variable Mathematical Economics Vilen Lipatov Fall 2014 Outline Functions of one real variable Graphs Linear functions Polynomials, powers and exponentials Reading: Sydsaeter and Hammond,
More informationTop 10% share Top 1% share /50 ratio
Econ 230B Spring 2017 Emmanuel Saez Yotam Shem-Tov, shemtov@berkeley.edu Problem Set 1 1. Lorenz Curve and Gini Coefficient a See Figure at the end. b+c The results using the Pareto interpolation are:
More informationBi-Variate Functions - ACTIVITES
Bi-Variate Functions - ACTIVITES LO1. Students to consolidate basic meaning of bi-variate functions LO2. Students to learn how to confidently use bi-variate functions in economics Students are given the
More informationDefinition of differential equations and their classification. Methods of solution of first-order differential equations
Introduction to differential equations: overview Definition of differential equations and their classification Solutions of differential equations Initial value problems Existence and uniqueness Mathematical
More informationChapter 4. Maximum Theorem, Implicit Function Theorem and Envelope Theorem
Chapter 4. Maximum Theorem, Implicit Function Theorem and Envelope Theorem This chapter will cover three key theorems: the maximum theorem (or the theorem of maximum), the implicit function theorem, and
More information3.1 Derivative Formulas for Powers and Polynomials
3.1 Derivative Formulas for Powers and Polynomials First, recall that a derivative is a function. We worked very hard in 2.2 to interpret the derivative of a function visually. We made the link, in Ex.
More informationConstrained optimization.
ams/econ 11b supplementary notes ucsc Constrained optimization. c 2016, Yonatan Katznelson 1. Constraints In many of the optimization problems that arise in economics, there are restrictions on the values
More informationMicroeconomic Theory-I Washington State University Midterm Exam #1 - Answer key. Fall 2016
Microeconomic Theory-I Washington State University Midterm Exam # - Answer key Fall 06. [Checking properties of preference relations]. Consider the following preference relation de ned in the positive
More informationECON 255 Introduction to Mathematical Economics
Page 1 of 5 FINAL EXAMINATION Winter 2017 Introduction to Mathematical Economics April 20, 2017 TIME ALLOWED: 3 HOURS NUMBER IN THE LIST: STUDENT NUMBER: NAME: SIGNATURE: INSTRUCTIONS 1. This examination
More informationComparative Statics Overview: I
Comparative Statics Overview: I 1 Implicit function theorem: used to compute relationship between endogenous and exogenous variables. 1 Context: First order conditions of an optimization problem. Examples
More informationM343 Homework 3 Enrique Areyan May 17, 2013
M343 Homework 3 Enrique Areyan May 17, 013 Section.6 3. Consider the equation: (3x xy + )dx + (6y x + 3)dy = 0. Let M(x, y) = 3x xy + and N(x, y) = 6y x + 3. Since: y = x = N We can conclude that this
More informationMath for Economics 1 New York University FINAL EXAM, Fall 2013 VERSION A
Math for Economics 1 New York University FINAL EXAM, Fall 2013 VERSION A Name: ID: Circle your instructor and lecture below: Jankowski-001 Jankowski-006 Ramakrishnan-013 Read all of the following information
More informationPolytechnic Institute of NYU MA 2132 Final Practice Answers Fall 2012
Polytechnic Institute of NYU MA Final Practice Answers Fall Studying from past or sample exams is NOT recommended. If you do, it should be only AFTER you know how to do all of the homework and worksheet
More informationChapter 4 AD AS. O. Afonso, P. B. Vasconcelos. Computational Economics: a concise introduction
Chapter 4 AD AS O. Afonso, P. B. Vasconcelos Computational Economics: a concise introduction O. Afonso, P. B. Vasconcelos Computational Economics 1 / 32 Overview 1 Introduction 2 Economic model 3 Numerical
More informationSee animations and interactive applets of some of these at. Fall_2009/Math123/Notes
MA123, Chapter 7 Word Problems (pp. 125-153) Chapter s Goal: In this chapter we study the two main types of word problems in Calculus. Optimization Problems. i.e., max - min problems Related Rates See
More informationMATH 307: Problem Set #3 Solutions
: Problem Set #3 Solutions Due on: May 3, 2015 Problem 1 Autonomous Equations Recall that an equilibrium solution of an autonomous equation is called stable if solutions lying on both sides of it tend
More informationFACULTY OF ARTS AND SCIENCE University of Toronto FINAL EXAMINATIONS, APRIL 2012 MAT 133Y1Y Calculus and Linear Algebra for Commerce
FACULTY OF ARTS AND SCIENCE University of Toronto FINAL EXAMINATIONS, APRIL 0 MAT 33YY Calculus and Linear Algebra for Commerce Duration: Examiners: 3 hours N. Francetic A. Igelfeld P. Kergin J. Tate LEAVE
More informationSOLUTIONS FOR PRACTICE FINAL EXAM
SOLUTIONS FOR PRACTICE FINAL EXAM ANDREW J. BLUMBERG. Solutions () Short answer questions: (a) State the mean value theorem. Proof. The mean value theorem says that if f is continuous on (a, b) and differentiable
More informationChapter 3 Differentiation. Historical notes. Some history. LC Abueg: mathematical economics. chapter 3: differentiation 1
Chapter 3 Differentiation Lectures in Mathematical Economics L Cagandahan Abueg De La Salle University School of Economics Historical notes Some history Prior to the seventeenth century [1600s], a curve
More information6.1 Matrices. Definition: A Matrix A is a rectangular array of the form. A 11 A 12 A 1n A 21. A 2n. A m1 A m2 A mn A 22.
61 Matrices Definition: A Matrix A is a rectangular array of the form A 11 A 12 A 1n A 21 A 22 A 2n A m1 A m2 A mn The size of A is m n, where m is the number of rows and n is the number of columns The
More informationMath 2a Prac Lectures on Differential Equations
Math 2a Prac Lectures on Differential Equations Prof. Dinakar Ramakrishnan 272 Sloan, 253-37 Caltech Office Hours: Fridays 4 5 PM Based on notes taken in class by Stephanie Laga, with a few added comments
More informationElasticities as differentials; the elasticity of substitution
Elasticities as differentials. Derivative: the instantaneous rate of change in units per units. Elasticity: the instantaneous rate of change in percent per percent. That is, if you like: on logarithmic
More informationCES functions and Dixit-Stiglitz Formulation
CES functions and Dixit-Stiglitz Formulation Weijie Chen Department of Political and Economic Studies University of Helsinki September, 9 4 8 3 7 Labour 6 5 4 5 Labour 5 Capital 3 4 6 8 Capital Any suggestion
More informationFoundations of Modern Macroeconomics B. J. Heijdra & F. van der Ploeg Chapter 6: The Government Budget Deficit
Foundations of Modern Macroeconomics: Chapter 6 1 Foundations of Modern Macroeconomics B. J. Heijdra & F. van der Ploeg Chapter 6: The Government Budget Deficit Foundations of Modern Macroeconomics: Chapter
More informationProblem Set # 2 Dynamic Part - Math Camp
Problem Set # 2 Dynamic Part - Math Camp Consumption with Labor Supply Consider the problem of a household that hao choose both consumption and labor supply. The household s problem is: V 0 max c t;l t
More informationReview for the Final Exam
Math 171 Review for the Final Exam 1 Find the limits (4 points each) (a) lim 4x 2 3; x x (b) lim ( x 2 x x 1 )x ; (c) lim( 1 1 ); x 1 ln x x 1 sin (x 2) (d) lim x 2 x 2 4 Solutions (a) The limit lim 4x
More information