Agricultural Production Economics: The Art of Production Theory

Size: px
Start display at page:

Download "Agricultural Production Economics: The Art of Production Theory"

Transcription

1 University of Kentucky UKnowledge Agricultural Economics Textbook Gallery Agricultural Economics -1 Agricultural Production Economics: The Art of Production Theory David L. Debertin University of Kentucky, Click here to let us know how access to this document benefits you. Follow this and additional works at: Part of the Agricultural Economics Commons Recommended Citation Debertin, David L., "Agricultural Production Economics: The Art of Production Theory" (1). Agricultural Economics Textbook Gallery.. This Book is brought to you for free and open access by the Agricultural Economics at UKnowledge. It has been accepted for inclusion in Agricultural Economics Textbook Gallery by an authorized administrator of UKnowledge. For more information, please contact

2 Agricultural Production Economics The Art of Production Theory David L. Debertin

3 Agricultural Production Economics The Art of Production Theory Agricultural Production Economics (The Art of Production Theory) is a companion book of color illustrations to Agricultural Production Economics (Second Edition, Amazon Createspace 1) and is a free download. A bound print copy is also available on amazon.com at a nominal cost under the following ISBN numbers: ISBN- 13: ISBN- 1: 1719 This is a book of full-color illustrations intended for use as a companion to Agricultural Production Economics, Second Edition. Each of the 9 pages of illustrations is a large, full-color version of the corresponding numbered figure in the book Agricultural Production Economics. The illustrations are each a labor of love by the author representing a combination of science and art. They combine modern computer graphics technologies with the author s skills as both as a production economist and as a graphics artist. Technologies used in making the illustrations trace the evolution of computer graphics over the past 3 years. Many of the hand-drawn illustrations were initially drawn using the Draw Partner routines from Harvard Graphics. Wire-grid 3-D illustrations were created using SAS Graph. Some illustrations combine hand-drawn lines using Draw Partner and the draw features of Microsoft PowerPoint with computer-generated graphics from SAS. As a companion text to Agricultural Production Economics, Second Edition, these color figures display the full vibrancy of the modern production theory of economics. This is one of three agricultural economics textbooks by David L. Debertin. Agricultural Production Economics (Second Edition, Amazon Createspace 1) is a revised edition of the Textbook Agricultural Production Economics published by Macmillan in 19 (ISBN --3-3). and a free pdf download of the entire book. As the author, I own the copyright. Amazon markets bound print copies of the book at amazon.com at a nominal price for classroom use. Bound paper copies of the book can also be ordered through college bookstores using the following ISBN numbers: ISBN or ISBN The third book is aimed at upper-division undergraduate students of microeconomics in agricultural economics and economics. It is a -page book titled Applied Microeconomics (Consumption, Production and Markets) and is a free download. Bound print copies are also available at amazon.com and through college bookstores at a nominal cost under the following ISBN numbers: ISBN 13: ISBN-1: This book Applied Microeconomics is much newer than Agricultural Production Economics, having been completed in 1. As the author, I would suggest downloading and studying this Applied Microeconomics book before diving into Agricultural Production Economics. This book uses spreadsheets to calculate numbers and draw graphs. Many of the examples and numbers are the same ones used in Agricultural Production Economics, so the two books are tied to each other.

4 If you have difficulty accessing or downloading any of these books, or have other questions, contact me at the address, below. David L. Debertin Professor Emeritus University of Kentucky Department of Agricultural Economics Lexington, Kentucky,

5 David L. Debertin is Professor Emeritus of Agricultural Economics at the University of Kentucky, Lexington, Kentucky and has been on the University of Kentucky Agricultural Economics faculty since 197 with a specialization in agricultural production and community resource economics. He received a B.S. and an M.S. degree from North Dakota State University, and completed a Ph.D. in Agricultural Economics at Purdue University in He has taught the introductory graduate-level course in agricultural production economics in each year he has been at the University of Kentucky. The first edition of Agricultural Production economics was published in hardback by Macmillan in 19. He began work on the second edition of the book after the Macmillan edition went out of print in 199, taking advantage of emerging two-and three-dimensional computer graphics technologies by linking these to the calculus of the modern theory of production economics. This is a book of full-color illustrations intended for use as a companion to Agricultural Production Economics, Second Edition. Each of the 9 pages of illustrations is a large, full-color version of the corresponding numbered figure in the book Agricultural Production Economics.

6 Agricultural Production Economics THE ART OFPRODUCTION THEORY DAVID L. DEBERTIN University of Kentucky This is a book of full-color illustrations intended for use as a companion to -page Agricultural Production Economics, Second Edition. Each of the 9 pages of illustrations is a large, full-color version of the corresponding numbered figure in the book kagricultural l Production Economics, Second Edition. The illustrations are each a labor of love by the author representing a combination of science and art. They combine modern computer graphics technologies with the author s skills as both as a production economist and as a technical graphics artist. Technologies used in making the illustrations ti trace the evolution of computer graphics over the past 3 years. Many of the handdrawn illustrations were initially drawn using the Draw Partner routines from Harvard Graphics. Wire-grid 3-D illustrations were created using SAS Graph. Some illustrations combine hand-drawn lines using Draw Partner and the draw features of Microsoft PowerPoint P with computer-generated graphics from SAS. As a companion text to Agricultural Production Economics, Second Edition, these color figures display the full vibrancy of the modern production theory of economics.

7 1 David L. Debertin Second Printing, December, 1 David L. Debertin University of Kentucky, Department of Agricultural Economics C.E.B. Bldg. Lexington, KY 5-77 All rights reserved. No part of this book may be reproduced or transmitted in any form or by any means, without permission from the author. Debertin, David L. Agricultural Production Economics The Art of Production Theory 1. Agricultural production economics. Agriculture Economic aspects Econometric models ISBN- 13: ISBN- 1: 1719 BISAC: Business and Economics/Economics/Microeconomics

8 Price Supply p 1 p Demand (New Income) Demand (Old Income) q q 1 Quantity Figure 1.1 Supply and Demand y y = x y y=x y y=x.5 A x B x C x Figure.1 Three Production Functions 1

9 y C y = f(x) D y x B A x Figure. Approximate and Exact MPP

10 y or TPP Slope Equals MPP Equals Maximum APP Slope Equals Zero Maximum TPP Maximum APP TPP y = f(x 1 ) Slope Equals APP Inflection Point x x o * 1 1 MPP or APP Maximum MPP A Maximum APP B x 1 MPP APP MPP x 1 Figure.3 A Neoclassical Production Function 3

11 TPP 1 1 y = 13.9 TPP Maximum 1 y = 5.9 TPP y = 5.3 MPP Maximum Inflection Point APP Maximum MPP APP MPP = APP MPP Figure. TPP, MPP and APP for Corn (y) Response to Nitrogen (x) Based on Table.5 Data APP MPP x x

12 + MPP MPP (a) MPP (b) MPP (c) (d) f > f1 > MPP f MPP f1 MPP f 1 1 > > = f > f > f > f > 3 f = f3 < 3 MPP MPP (e) f1 > + f + (f) 1 > (g) f1 > f < f < f < f MPP > f = f3 < 3 3 MPP MPP MPP MPP MPP f1 f f + (h) < (i) 1 < (j) 1 < (k) f < MPP f < MPP f < MPP f < f < f = f3 > = 3 3 f MPP - MPP - MPP MPP - (l) + f1 < + (m) f1 < (n) f1 < f > MPP f > MPP f > f > f = f < 3 3 MPP MPP MPP MPP Figure.5 MPP s for the Production Function y = f(x) 5

13 y, MPP or APP E p >1 E p >1 < E p <1 E p < B A E p =1 APP C x - MPP Figure. MPP, APP and the Elasticity of Production

14 TVP $ py or ptpp TVP Inflection Point $ VMP = pmpp AVP = papp MFC VMP x MFC AVP x Figure 3.1 The Relationship Between TVP, VMP, AVP, and MFC 7

15 $ TVP TFC Maximum AVP Maximum Profit Parallel Zero Profit TFC Zero Slope Maximum TVP TVP Zero Profit Parallel Maximum VMP Inflection Point Minimum Profit Maximum Profit VMP AVP MFC $ Profit $ v o Minimum Profit VMP = MFC Maximum VMP x* VMP = MFC Maximum Profit Zero VMP x MFC =v o AVP = o p APP x VMP Minimum Profit Zero Profit x* Zero Profit x Profit Figure 3. TVP, TFC, VMP, MFC and Profit

16 $ TVP Profit 3 1 $ x TFC TVP 3 Profit 1 TFC Figure 3.3 TVP, TFC and Profit (Top and Second Panel) x 9

17 $ x Figure 3.3 TVP, TFC and Profit (Third Panel) AVP MFC.9 MFC.5.5 MFC VMP $ Figure 3.3 Profit Maximization under Varying Assumptions with Respect to Input Prices (Bottom Panel) x

18 y TPP Stage I Stage II Stage III A B C y x x APP MPP Figure 3. Stages of Production and the Neoclassical Production Function 11

19 $ D E Loss C B MFC Revenue Per Unit Cost Per Unit AVP A x* x VMP Figure 3.5 If VMP is Greater than AVP, the Farmer Will Not Operate $ VMP MFC MFC x VMP Figure 3. The Relationship Between VMP and MFC Illustrating the 1 Imputed Value of an Input

20 $ SRMC1 SRAC SRAC1 SRMC SRAC SRAC3 SRMC3 SRMC SRMC5 SRAC5 LRAC y Figure.1 Short and Long Run Average and Marginal Cost with Envelope Long Run Average Cost 13

21 $ TC VC or TVC Minimum slope of TC Inflection Point Minimum slope of TVC FC $ AC* y AVC* B MC AC AVC A 1 FC = k AFC* Figure. Cost Functions on the Output Side AFC y

22 $ AFC AC AC + AVC AFC AVC AFC MC Stage II Stage III AFC AFC AFC y* y MC - - Figure.3 Behavior of Cost Curves as Output Approaches a Technical Maximum y* 15

23 TC TR $ TVC p Parallel y Parallel FC $ y MC MR =p AC AVC Maximum Profit AFC y $ + Zero Profit Profit y - Minimum Profit 1 Figure. Cost Functions and Profit Functions

24 $ 5 TR TC VC 3 1 Maximum Profit Profit FC Zero Profit y = ~ y 7 $ MC 5 3 MR AC AVC 1 AFC y Figure.5 The Profit-Maximizing Output Level Based on Data Contained in Table.1 17

25 Y Maximum APP Maximum TPP Y 5 o TPP Maximum MPP (Inflection Point) $ X TC = vx $ TVC Y Minimum AVC X V v =priceofx Minimum MC (Inflection Point) X Y Figure. A Cost Function as an Inverse Production Function 1

26 MC = Supply $ AVC p 3 p p 1 y Figure.7 Aggregate Supply When the Ratio MC/AC = 1/b and b is less than 1 19

27 Corn Yield Y X 11 9 X 1 Figure 5.1 Production Response Surface Based on Data Contained in Table 5.1 X X Potash 1 Figure 5. Isoquants for the Production Surface in Figure 5.1 Based on Data Contained in Table 5.1

28 x x x 1 x x 1 x x 1 y x 1 Figure 5.3 Illustration of Diminishing MRS x 1 x 1

29 Figure 5. Isoquants and a Production Surface (Panel A) Figure 5. Isoquants and a Production Surface (Panel B)

30 Figure 5. Isoquants and a Production Surface (Panel C) Figure 5. Isoquants and a Production Surface (Panel D) 3

31 Figure 5. Isoquants and a Production Surface (Panel E) Y X Figure 5. Isoquants and a Production Surface (Panel F)

32 X Figure 5.5 Some Possible Production Surfaces and Isoquant Map A.The Production Surface 5 X Figure 5.5 Some Possible Production Surfaces and Isoquant Map B. The Isoquant Map 5

33 Y X 1 Figure 5.5 Some Possible Production Surfaces and Isoquant Map C. The Production Surface 1 X 1 Figure 5.5 Some Possible Production Surfaces and Isoquant Map D. The Isoquants

34 Y X Figure 5.5 Some Possible Production Surfaces and Isoquant Maps E. The Production Surface 1 1 X 1 Figure 5.5 Some Possible Production Surfaces and Isoquant Maps F. The Isoquants 7

35 Y X.3. Figure 5.5 Some Possible Production Surfaces and Isoquant Maps K. The Production Surface X Figure 5.5 Some Possible Production Surfaces and Isoquant Maps L. The Isoquants

36 Y X 1 Figure 5.5 Some Possible Production Surfaces and Isoquant Maps G. The Production Surface 1 X 1 Figure 5.5 Some Possible Production Surfaces and Isoquant Maps H. The Isoquants 9

37 Y X Figure 5.5 Some Possible Production Surfaces and Isoquant Maps I. The Production Surface 1. X Figure 5.5 Some Possible Production Surfaces and Isoquant Maps J. The Isoquants

38 3. x. Ridge Line for x x * 1 1. Ridge Line for x 1. x **. x *** x 1 y y = f (x 1 x *) y = f (x 1 x ** ) y = f ( x 1 x*** ) x Figure 5. Ridge Lines and a Family of Production Functions For Input x 1 31

39 Y Maximum A. The Surface X Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 1 1 X Maximum B. The Contour Lines 1 Figure.1 Alternative Surfaces and Contours Illustrating 3 Second Order Conditions

40 Y X Minimum C. The Surface Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 1 1 X Minimum D. The Contour Lines 1 Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 33

41 Y Saddle E. The Surface X 1 Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 1 X Saddle 3 1 F. The Contour Lines Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions

42 Y Saddle G. The Surface X Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 1 1 X Saddle H. The Contour Lines 1 Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 35

43 Y 7-17 Saddle I. The Surface X Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 5 X Saddle -1-3 J. The Contour Lines Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions

44 Y Saddle K. The Surface 1 X Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions X 3 1 Saddle I. The Contour Lines Figure.1 Alternative Surfaces and Contours Illustrating Second Order Conditions 37

45 Global Maximum Y Local Max Saddle Saddle Local Max 1 Surface 1 1 X Saddle Local Minimum Local Max Saddle Figure. Critical Values for the Polynomial y = x 1 1 x x 13.35x 1 + x 1 x + 1. x 3.35x 1 1 Contour Lines Figure. Critical Values for the Polynomial y = x 1 1 x x 1. x 3 35x +x +1x 3 35x 1.35x 1 x 1 x 1. x.35x

46 X 3. o C /v. Expansion Path v1 v o C /v Figure 7.1 Iso-outlay Lines and the Isoquant Map X 1 $ Global Profit Maximum (Pseudo Scale Lines Intersect) Global Output Maximum (Ridge Lines Intersect) Constrained Output Maxima (Bundle Allocated According to Expansion Path Conditions) Price of the Input Bundle Top Panel The Input Bundle X VMP of X Figure 7. Global Output and Profit Maximization for the Bundle 39

47 Global Output Maximum (Ridge Lines Intersect) Y 5 Global Profit Maximum (Pseudo Scale Lines Intersect) 17 Sample Isoquant (Constrained Maximum Below Global Output or Profit Maximum) Bottom Panel X Figure 7. Global Output and Profit Maximization for the Bundle

48 X Point on Pseudo Scale Line Point on Ridge Line x * $ Profit Maximum for x Holding 1 x constant at x * Output Maximum for x 1 Holding x constant at x * py = f (x 1 x * ) = TVP MFC = v VMP x x * 1 Figure 7.3 Deriving a Point on a Pseudo Scale Line 1

49 X Global 1 Profit Maximum 1 Global Output Maximum Isocost Lines X X Figure 7. The Complete Factor-Factor Model

50 Y Global Output Maximum 5 Global Profit Maximum 17 Constrained Output Maximum X Figure 7.5 Constrained and Global Profit and Output Maxima along the Expansion Path 3

51 Revenue, Profit Global Revenue Maximization $ 5 Global Profit Maximization Ridge Line Ridge Line 1 Pseudo Scale Line 153 Pseudo Scale Line X Total Revenue Surface 1 1 Profit Surface Figure.1 TVP- and Profit-Maximizing Surfaces 1 1 1

52 X 1 Global Output Max 1 1 Global Profit Max X X 1 Isorevenue Lines Isoprofit Lines Figure. Isorevenue and Isoproduct Contours 5

53 x Solution Isoquant y' Budget Constraint x 1 Figure.3 A Corner Solution

54 Y A 1 X B C Figure. A. Point B Less than A and C Y A B C X Figure. B. Point B Equal to A and C 7

55 Y 5 17 B 3 A C X Y Figure. C. Point B Greater than A and C 5 17 B 3 A C X Figure. D. Point B Greater than A and C 1

56 Y Y A B C A B C X X Y Y B 17 3 A B C 3 A C X X Figure. Constrained Maximization under Alternative Isoquant Convexity or Concavity Conditions 9

57 Land 1 Global Profit Maximum = 1 Global Output Maximum 1 = A B C L* L* R X X X (a bundle of all inputs but land) Figure.5 The Acreage Allotment Problem 5

58 x x A B C D A>AB>BC>CD AB > BC > CD x A B C D A<AB<BC<CD AB < BC < CD 3 1 x 1 x C D B 3 A 1 A = AB = BC = CD x 1 Figure 9.1 Economies, Diseconomies and Constant Returns to Scale For a Production Function with Two Inputs 51

59 1 X 1 Figure 1.1 Isoquants for the Cobb-Douglas Production Function 5

60 A. Surface y = x 1. x. 1 X 1 B. Isoquants y = x 1. x. Figure 1. Surfaces and Isoquants for the Cobb-Douglas Type Production Function 53

61 C. Surface y = x 1.1 x. 1 X 1 D. Isoquants y = x 1.1 x. Figure 1. Surfaces and Isoquants for the Cobb-Douglas 5 Type Production Function

62 E. Surface y = x 1. x. 1 X 1 F. Isoquants y = x 1. x. Figure 1. Surfaces and Isoquants for the Cobb-Douglas Type Production Function 55

63 G. Surface y = x x X 1 H. Isoquants y = x 1. x 1.5 Figure 1. Surfaces and Isoquants for the Cobb-Douglas Type Production Function 5

64 I. Surface y = x x X 1 J. Isoquants y = x x 1.5 Figure 1. Surfaces and Isoquants for a Cobb-Douglas Type Production Function 57

65 A. Surface 1 X B. Isoquants 1 5 Figure 11.1 The Spillman Production Function

66 3 - X Ridge Line Maximum Output Figure 11. Isoquants and Ridge Lines for the Transcendental, 1 = -; 1 = 3 = 59

67 X A. Surface B. Isoquants Figure 11.3 The Transcendental Production Function Under Varying Parameter Assumptions

68 C. Surface 3.9 X D. Isoquants Figure 11.3 The Transcendental Production Function Under Varying Parameter Assumptions 1

69 E. Surface X F. Isoquants Figure 11.3 The Transcendental Production Function Under Varying Parameter Assumptions

70 G. Surface.5 X H. Isoquants Figure 11.3 The Transcendental Production Function Under Varying Parameter Assumptions 3

71 I. Surface 1. X J. Isoquants Figure 11.3 The Transcendental Production Function Under Varying Parameter Assumptions

72 A. Surface X B. Isoquants Figure 11. The Polynomial y = x 1 + x 1.5 x 13 + x + x.5 x 3 +. x 1 x 5

73 F x M H D K B P Midpoint P 1 y* C J A E L G X 1 Figure 1.1 The Arc Elasticity of Substitution

74 A. Case 1 Surface 1 X B. Case 1 Isoquants 1 Figure 1. Production Surfaces and Isoquants for the CES Production Function under Varying Assumptions about 7

75 C. Case Surface 1 X x = -1/ (k/ D. Case Isoquants 1 x 1 = -1/ (k/ Figure 1. Production Surfaces and Isoquants for the CES Production Function under Varying Assumptions about

76 E. Case 3 Surface 1 X 1 F. Case 3 Isoquants Figure 1. Production Surfaces and Isoquants for the CES Production Function under Varying Assumptions about 9

77 G. Case Surface 1 X 1 J Case Isoquants Figure 1. Production Surfaces and Isoquants for the CES Production 7 Function under Varying Assumptions about

78 I. Case 5 Surface approaches -1 1 X 1 J. Case 5 Isoquants approaches -1 Figure 1. Production Surfaces and Isoquants for the CES Production Function under Varying Assumptions about 71

79 $ MFC1 MFC AVP Input (x) Demand MFC3 MFC x VMP Figure 13.1 The Demand Function for Input x (No Other Inputs) 7

80 x x x y" y' y" y' x x 1 1 A B C y' x y" 1 Figure 13. Possible Impacts of an Increase in the Price of x 1 on the use of x 73

81 $ Input (x) Demand AVP1 MFC1 AVP MFC MFC3 AVP3 VMP1 VMP x VMP3 1 Figure Demand for Input x 1 when a Decrease in the Price of x 1 Increases the Use of x 7

82 Maximum TR p Total Revenue TR = ay by Ep > 1 Ep = 1 Demand p = a - by Ep < 1 Ep = - Ep M T y Marginal Revenue MR = a - by Figure 1.1 Total Revenue, Marginal Revenue, and the Elasticity of Demand 75

83 $ $ o p TPP o p TPP TVP n p TPP TVP n p TPP A x o x n x x B x o x n $ o o p = p (y ) n n p = p (y ) o o y = y (x ) n n y = y(x ) TVP n o p TPP p TPP C x o x n x Figure 1. Possible TVP Functions Under Variable Product Prices 7

84 Guns Production Possibilities Curve for a Resource Bundle X o Butter Figure 15.1 A Classic Production Possibilities Curve 77

85 Corn (bu. per acre) 13 TPP 111 x (other inputs) Panel A Figure 15. Deriving i a Product Transformation Function from Two Production Functions 7

86 Soybeans (bu. per acre) 55 TPP x (other inputs) Panel B Figure 15. Deriving a Product Transformation Function from Two Production Functions 79

87 Soybeans (bu. per acre) x = Corn (bu. per acre) Panel C Figure 15. Deriving a Product Transformation Function from Two Production Functions

88 y y Supplementary Range Competitive y 1 Supplementary y 1 y Complementary Range y Complementary y 1 Joint y 1 Figure 15.3 Competitive, Supplementary, Complementary and Joint Products 1

89 X Y Y1 A. Surface ν approaches -1 1 Y 1 Y1 B. Isoproduct Contours ν approaches -1 Figure 15. Isoproduct Surfaces and Isoproduct Contours for a CES Type of Function, ν <-1

90 X Y C. Surface ν = - Y1 1 1 Y 1 Y1 D. Isoproduct Contours ν = - Figure 15. Isoproduct Surfaces and Isoproduct Contours for a CES Type of Function, ν <-1 3

91 X Y E. Surface ν = -5 Y1 1 1 Y 1 Y1 F. Isoproduct Contours ν = -5 Figure 15. Isoproduct Surfaces and Isoproduct Contours for a CES Type of Function, ν <-1

92 X Y G. Surface ν = - Y1 1 1 Y 1 Y1 H. Isoproduct Contours ν = - Figure 15. Isoproduct Surfaces and Isoproduct Contours for a CES Type of Function, ν <-1 5

93 Figure 1.1 A Family of Product Transformation Functions

94 1 Product Transformation Functions Y R o p Output Expansion Path Isorevenue Lines Y1 R o 1 p p 1 p 1 Figure 1. Product Transformation Functions, Isorevenue Lines and the Output Expansion Path 7

95 Tobacco Output Pseudo Scale Line for Tobacco Global Profit Maximum 1 Output Expansion Path A Output Pseudo Scale Line For Other Crops (Y) T* B C 1 1 Y Figure 1.3 An Output Quota

96 Forage (z ) Isoquants for Beef Production MRS x1 x = RPT z 1 z Product Transformation Function for Grain and Forage Grain (z ) 1 Forage (z ) Sell Produce p Isocost or Isorevenue z 1 p Line z Produce Purchase Grain (z ) 1 Figure 17.1 An Intermediate Product Model 9

97 $ per bu. B C M C AC AVC MR = Price of Corn A Output of Corn Figure 19.1 Output of Corn and Per Bushel Cost of Production 9

98 Probabilities and Outcomes are Known Probabilities And Outcomes Are not known Risky Events Uncertain Events Figure.1 A Risk and Uncertainty Continuum 91

99 Utility Utility Risk-Averse Utility Income Risk-Neutral Income Risk-Preferrer Income Figure. Three Possible Functions Linking Utility to Income 9

100 Expected Income Expected Income Risk-Averse Income Variance Risk-Neutral Income Variance Expected Income Risk Preferrer Income Variance Figure.3 Indifference Curves Linking the Variance of Expected Income with Expected Income y Curve B Curve A Curve C Figure. Long Run Planning: Specialized and Non-Specialized Facilities 93 y 1

101 y 1 Constraint 1 (Amount of x 1 Available) 1 /3 y Feasible Region Constraint (Amount of x Available) 5 Product Transformation Function Objective Function Feasible Region /3 y Figure.1 Linear Programming Solution in Product Space 9

102 x 3 Constraint Isoquant Isoquant Feasible Region Feasible Constraint 1 Objective Function x Figure. Linear Programming Solution in Factor Space 95

103 x x Diagram A x x 1 x 1 Diagram B Diagram C x 1 9 Figure 3.1 Some Possible Impacts of Technological Change

104 X X Assumption 1 Holds Assumption 1 Fails X 1 X 1 X X Assumption Fails X 1 Assumption Holds X 1 Figure.1 Assumptions (1) and () and the Isoquant Map 97

105 X X P 1 P X X 1 X 1 X 1 Figure. A Graphical Representation of the Elasticity of Substitution 9

Revised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards

Revised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards Annexure - 1 Revised Course Outlines & Pattern of Examinations in the subject of Economics for BA/B.Sc. w.e.f. 1 st Annual Examinations 2018 & onwards Paper A: Microeconomics &Basic Mathematical Economics

More information

Micro Production and Cost Essentials 2 WCC

Micro Production and Cost Essentials 2 WCC Micro Production and Cost Essentials 2 WCC In our previous example, we considered how output changes when we change one, and only one, input. This gave us the TPP curve. We then developed a rule to help

More information

LEIBNIZ INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION

LEIBNIZ INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION 3.2.1 INDIFFERENCE CURVES AND THE MARGINAL RATE OF SUBSTITUTION Alexei cares about his exam grade and his free time. We have seen that his preferences can be represented graphically using indifference

More information

OBJECTIVE. Explain how managers should determine the optimal method of production by applying an understanding of production processes

OBJECTIVE. Explain how managers should determine the optimal method of production by applying an understanding of production processes OBJECTIVE Explain how managers should determine the optimal method of production by applying an understanding of production processes Theory of the Firm We said we were going to deal with most problems

More information

Chapter 6. The Production Function. Production Jargon. Production

Chapter 6. The Production Function. Production Jargon. Production Chapter 6 Production The Production Function A production function tells us the maximum output a firm can produce (in a given period) given available inputs. It is the economist s way of describing technology

More information

GLOBAL EDITION. Introduction to Agricultural Economics SIXTH EDITION. John B. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T.

GLOBAL EDITION. Introduction to Agricultural Economics SIXTH EDITION. John B. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T. GLOL EDITION Penson, Jr. Capps, Jr. Rosson III Woodward Introduction to gricultural Economics SIXTH EDITION John. Penson, Jr. Oral Capps, Jr. C. Parr Rosson III Richard T. Woodward economics of input

More information

2. MANAGERIAL ECONOMICS

2. MANAGERIAL ECONOMICS Subject Paper No and Title Module No and Title Module Tag 2. MANAGERIAL ECONOMICS 15. PRODUCER S EQUILIBRIUM COM_P2_M15 TABLE OF CONTENTS 1. Learning Outcomes 2. Introduction 3. Isoquants 4. Properties

More information

Econ 410: Micro Theory. Recall from last time. Production: Two Variable Inputs. Production: Two Variable Inputs

Econ 410: Micro Theory. Recall from last time. Production: Two Variable Inputs. Production: Two Variable Inputs Slide Slide Econ 0: Micro Theory Production with Multiple Variable Inputs Monday, October 9 th, 007 When both types of inputs become variable, the same amount of output can be produced with different amounts

More information

Fixed input/factor of production: quantity of input is fixed regardless of required

Fixed input/factor of production: quantity of input is fixed regardless of required Production Theory Short-Run v. Long-Run Fixed input/factor of production: quantity of input is fixed regardless of required output level, e.g. capital or specialized labour Variable input/factor of production:

More information

Study unit 5: Uncertainty and consumer behaviour

Study unit 5: Uncertainty and consumer behaviour 43 ECS2601/1/2012-14 Study unit 5: Uncertainty and consumer behaviour OMIT Omit pages 159-193. 44 ECS2601/1/2012-14 Study unit 6: Production Economics in action Feeding the job generator An adequate and

More information

Firms and Production Class- FY B.Com /SYBA. By Asst.Prof.Dr.D.R.Vasave

Firms and Production Class- FY B.Com /SYBA. By Asst.Prof.Dr.D.R.Vasave Firms and Production Class- FY B.Com /SYBA By Asst.Prof.Dr.D.R.Vasave Topics The Ownership and Management of Firms. Production. Short-Run Production: One Variable and One Fixed Input. Long-Run Production:

More information

Production C H A P T E R. Prepared by: Fernando & Yvonn Quijano

Production C H A P T E R. Prepared by: Fernando & Yvonn Quijano C H A P T E R 6 Production Prepared by: Fernando & Yvonn Quijano CHAPTER 3 OUTLINE 6.1 The Technology of Production 6.2 Production with One Variable Input (Labor) 6.3 Production with Two Variable Inputs

More information

Chapter 19: Profit Maximization Problem

Chapter 19: Profit Maximization Problem Econ 23 Microeconomic Analysis Chapter 19: Profit Maximization Problem Instructor: Hiroki Watanabe Fall 2012 Watanabe Econ 23 19 PMP 1 / 90 1 Introduction 2 Short-Run Profit Maximization Problem 3 Comparative

More information

Chapter 6 Production

Chapter 6 Production Chapter 6 Production Read Pindyck and Rubinfeld (2013), Chapter 6 2/5/2015 CHAPTER 6 OUTLINE 6.1 The Technology of Production 6.2 Production with One Variable Input (Labor) 6.3 Production with Two Variable

More information

Production C H A P T E R. Production CHAPTER 6 OUTLINE. 6.1 The Technology of Production. 6.2 Production with One Variable Input (Labor)

Production C H A P T E R. Production CHAPTER 6 OUTLINE. 6.1 The Technology of Production. 6.2 Production with One Variable Input (Labor) C H A P T E R 6 Production Prepared by: Fernando & Yvonn Quijano CHAPTER 6 OUTLINE 6.1 The Technology of Production Production with One Variable Input (Labor) Production with Two Variable Inputs 6.4 Returns

More information

Calculus of Several Variables

Calculus of Several Variables Benjamin McKay Calculus of Several Variables Optimisation and Finance February 18, 2018 This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Preface The course is

More information

Math 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 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 information

Production Functions. Class- M.A by Asst.Prof.amol s. bavaskar

Production Functions. Class- M.A by Asst.Prof.amol s. bavaskar Production Functions. Class- M.A by Asst.Prof.amol s. bavaskar PRODUCTION AND COSTS: THE SHORT RUN Production An entrepreneur must put together resources -- land, labour, capital -- and produce a product

More information

Inputs and the Production Function

Inputs and the Production Function Chapter 6 ecture Slides Inputs and the Production Function Inputs (factors of production) are resources, such as labor, capital equipment, and raw materials, that are combined to produce finished goods.

More information

REGIONAL PRODUCTION POTENTIALS

REGIONAL PRODUCTION POTENTIALS chapter /15 REGIONAL PRODUCTION POTENTIALS The above analysis has been short run in nature for we have taken stocks of commodities as given and appraised exchange possibilities in terms of the distribution

More information

Production Functions. Production Function - Basic Model for Modeling Engineering Systems

Production Functions. Production Function - Basic Model for Modeling Engineering Systems Outline Production Functions 1. Definition 2. Technical Efficiency 3. Mathematical Representation 4. Characteristics Massachusetts Institute of Technology Production Functions Slide 1 of 22 Production

More information

Applications of Derivatives

Applications of Derivatives Chapter 5 Analyzing Change: Applications of Derivatives 5.2 Relative and Absolute Extreme Points Your calculator can be very helpful for checking your analytic work when you find optimal points and points

More information

Goals: To study constrained optimization; that is, the maximizing or minimizing of a function subject to a constraint (or side condition).

Goals: To study constrained optimization; that is, the maximizing or minimizing of a function subject to a constraint (or side condition). Unit #23 : Lagrange Multipliers Goals: To study constrained optimization; that is, the maximizing or minimizing of a function subject to a constraint (or side condition). Constrained Optimization - Examples

More information

EXERCISES CHAPTER 11. z = f(x, y) = A x α 1. x y ; (3) z = x2 + 4x + 2y. Graph the domain of the function and isoquants for z = 1 and z = 2.

EXERCISES CHAPTER 11. z = f(x, y) = A x α 1. x y ; (3) z = x2 + 4x + 2y. Graph the domain of the function and isoquants for z = 1 and z = 2. EXERCISES CHAPTER 11 1. (a) Given is a Cobb-Douglas function f : R 2 + R with z = f(x, y) = A x α 1 1 x α 2 2, where A = 1, α 1 = 1/2 and α 2 = 1/2. Graph isoquants for z = 1 and z = 2 and illustrate the

More information

Review Problems. Calculus IIIA: page 1 of??

Review Problems. Calculus IIIA: page 1 of?? Review Problems The final is comprehensive exam (although the material from the last third of the course will be emphasized). You are encouraged to work carefully through this review package, and to revisit

More information

LECTURE 8: SPECIAL PRODUCTION FUNCTIONS, PART II ANSWERS AND SOLUTIONS. True/False Questions

LECTURE 8: SPECIAL PRODUCTION FUNCTIONS, PART II ANSWERS AND SOLUTIONS. True/False Questions LECTURE 8: SPECIAL PRODUCTION FUNCTIONS, PART II ANSWERS AND SOLUTIONS True/False Questions False_ The elasticity of scale of a fixed proportions production function is not defined because the fixed proportions

More information

How Technological Advancement Affects Economic Growth of Emerging Countries

How Technological Advancement Affects Economic Growth of Emerging Countries How Technological Advancement Affects Economic Growth of Emerging Countries Kanupriya Suthar Independent Researcher, Rajasthan, India kanupriyasuthar@gmail.com Abstract With the advent of the era of science

More information

Mikroekonomia B by Mikolaj Czajkowski

Mikroekonomia B by Mikolaj Czajkowski Mikroekonomia B by Mikolaj Czajkowski Exam Production 2 Name Group 1) Lauraʹs Internet Services firm can design computer systems according to the function y(k, L) = 3 K L, where K is the amount of Gigabyte

More information

CHAPTER 11 PARTIAL DERIVATIVES

CHAPTER 11 PARTIAL DERIVATIVES CHAPTER 11 PARTIAL DERIVATIVES 1. FUNCTIONS OF SEVERAL VARIABLES A) Definition: A function of two variables is a rule that assigns to each ordered pair of real numbers (x,y) in a set D a unique real number

More information

Rev Name Date. Most equations taught in algebra classes can and should be solved using algebra to get exact solutions.

Rev Name Date. Most equations taught in algebra classes can and should be solved using algebra to get exact solutions. Name Date TI-84+ GC 3 Solving Equations Using x-intercept of Difference LHS RHS = (Method ) Objectives: Review: set an equation equal to, equation of horizontal line, x-axis, x-intercept, zero Understand

More information

Section 15.3 Partial Derivatives

Section 15.3 Partial Derivatives Section 5.3 Partial Derivatives Differentiating Functions of more than one Variable. Basic Definitions In single variable calculus, the derivative is defined to be the instantaneous rate of change of a

More information

Introduction to the monocentric Urban Model

Introduction to the monocentric Urban Model Introduction to the monocentric Urban Model Graduate Labor 2017 Florian Oswald Sciences Po Florian Oswald (Sciences Po) Introduction to the monocentric Urban Model 1 / 65 ToC 1 Introduction 2 Land Use

More information

Math 1070 Sample Exam 1

Math 1070 Sample Exam 1 University of Connecticut Department of Mathematics Math 1070 Sample Exam 1 Exam 1 will cover sections 1.1, 1.2, 3.1, 3.2, 3.3, 4.1, 4.2, 4.3, 4.4, 4.5, 5.1 and 5.2. This sample exam is intended to be

More information

Production Possibilities Frontier Worksheet Name S

Production Possibilities Frontier Worksheet Name S We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with production possibilities

More information

11.2 LIMITS AND CONTINUITY

11.2 LIMITS AND CONTINUITY 11. LIMITS AND CONTINUITY INTRODUCTION: Consider functions of one variable y = f(x). If you are told that f(x) is continuous at x = a, explain what the graph looks like near x = a. Formal definition of

More information

Chapter 2 The Market. The Classical Approach

Chapter 2 The Market. The Classical Approach Chapter 2 The Market The economic theory of markets has been central to economic growth since the days of Adam Smith. There have been three major phases of this theory: the classical theory, the neoclassical

More information

Unit 1: The Economic Fundamentals Weeks How does scarcity impact the decisions individuals and societies must make?

Unit 1: The Economic Fundamentals Weeks How does scarcity impact the decisions individuals and societies must make? Economics Teacher: Vida Unit 1: The Economic Fundamentals Weeks 1-4 Essential Questions 1. How does scarcity impact the decisions individuals and societies must make? 2. What roles do individuals and businesses

More information

Introduction. APPLICATION NOTE 3981 HFTA-15.0 Thermistor Networks and Genetics. By: Craig K. Lyon, Strategic Applications Engineer

Introduction. APPLICATION NOTE 3981 HFTA-15.0 Thermistor Networks and Genetics. By: Craig K. Lyon, Strategic Applications Engineer Maxim > App Notes > FIBER-OPTIC CIRCUITS Keywords: thermistor networks, resistor, temperature compensation, Genetic Algorithm May 13, 2008 APPLICATION NOTE 3981 HFTA-15.0 Thermistor Networks and Genetics

More information

Wireless Network Pricing Chapter 7: Network Externalities

Wireless Network Pricing Chapter 7: Network Externalities Wireless Network Pricing Chapter 7: Network Externalities Jianwei Huang & Lin Gao Network Communications and Economics Lab (NCEL) Information Engineering Department The Chinese University of Hong Kong

More information

Maxima and Minima. Terminology note: Do not confuse the maximum f(a, b) (a number) with the point (a, b) where the maximum occurs.

Maxima and Minima. Terminology note: Do not confuse the maximum f(a, b) (a number) with the point (a, b) where the maximum occurs. 10-11-2010 HW: 14.7: 1,5,7,13,29,33,39,51,55 Maxima and Minima In this very important chapter, we describe how to use the tools of calculus to locate the maxima and minima of a function of two variables.

More information

A (Schumpeterian?) Theory of Growth and Cycles

A (Schumpeterian?) Theory of Growth and Cycles A (Schumpeterian?) Theory of Growth and Cycles Michele Boldrin WUStL, Ca Foscari and CEPR June 20, 2017 Michele Boldrin (WUStL) A (Schumpeterian?) Theory of Growth and Cycles June 20, 2017 1 / 16 Introduction

More information

MULTI-VARIABLE OPTIMIZATION NOTES. 1. Identifying Critical Points

MULTI-VARIABLE OPTIMIZATION NOTES. 1. Identifying Critical Points MULTI-VARIABLE OPTIMIZATION NOTES HARRIS MATH CAMP 2018 1. Identifying Critical Points Definition. Let f : R 2! R. Then f has a local maximum at (x 0,y 0 ) if there exists some disc D around (x 0,y 0 )

More information

EDUCATION Ph.D. Economics, Harvard University, 1982 B.S. Mathematics, summa cum laude, University of Washington, 1978

EDUCATION Ph.D. Economics, Harvard University, 1982 B.S. Mathematics, summa cum laude, University of Washington, 1978 CURRICULUM VITAE DANIEL T. SLESNICK December 2012 Department of Economics University of Texas Austin, TX 78712 EDUCATION Ph.D. Economics, Harvard University, 1982 B.S. Mathematics, summa cum laude, University

More information

Math 233. Extrema of Functions of Two Variables Basics

Math 233. Extrema of Functions of Two Variables Basics Math 233. Extrema of Functions of Two Variables Basics Theorem (Extreme Value Theorem) Let f be a continuous function of two variables x and y defined on a closed bounded region R in the xy-plane. Then

More information

MTH Calculus with Analytic Geom I Project 1

MTH Calculus with Analytic Geom I Project 1 MTH 229 - Calculus with Analytic Geom I Project 1 Project Instructions: 1. Mathematics: Appropriate calculus skills and mathematics must be applied. 2. Representation: Thorough Analytical and graphical

More information

Review Sheet for Math 230, Midterm exam 2. Fall 2006

Review Sheet for Math 230, Midterm exam 2. Fall 2006 Review Sheet for Math 230, Midterm exam 2. Fall 2006 October 31, 2006 The second midterm exam will take place: Monday, November 13, from 8:15 to 9:30 pm. It will cover chapter 15 and sections 16.1 16.4,

More information

Similarly, the point marked in red below is a local minimum for the function, since there are no points nearby that are lower than it:

Similarly, the point marked in red below is a local minimum for the function, since there are no points nearby that are lower than it: Extreme Values of Multivariate Functions Our next task is to develop a method for determining local extremes of multivariate functions, as well as absolute extremes of multivariate functions on closed

More information

Australian/New Zealand Standard

Australian/New Zealand Standard AS/NZS 1102.111:1997 IEC 617-11:1996 Australian/New Zealand Standard Graphical symbols for electrotechnical documentation Part 111: Architectural and topographical installation plans and diagrams [ IEC

More information

How economists apply the methods of science. Two simple models the circular flow and the production possibilities frontier.

How economists apply the methods of science. Two simple models the circular flow and the production possibilities frontier. CHPATER 2 Thinking Like an Economist LEARNING OBJECTIVES: How economists apply the methods of science. Two simple models the circular flow and the production possibilities frontier. The difference between

More information

EconS 503 Advanced Microeconomics II 1 Adverse Selection Handout on Two-part tariffs (Second-degree price discrimination)

EconS 503 Advanced Microeconomics II 1 Adverse Selection Handout on Two-part tariffs (Second-degree price discrimination) EconS 503 Advanced Microeconomics II 1 Adverse Selection Handout on Two-part tariffs (Second-degree price discrimination) 1. Introduction Consider a setting where an uninformed firm is attempting to sell

More information

Solving Systems of Linear Inequalities. SHIPPING Package delivery services add extra charges for oversized

Solving Systems of Linear Inequalities. SHIPPING Package delivery services add extra charges for oversized 2-6 OBJECTIVES Graph sstems of inequalities. Find the maximum or minimum value of a function defined for a polgonal convex set. Solving Sstems of Linear Inequalities SHIPPING Package deliver services add

More information

Tennessee Senior Bridge Mathematics

Tennessee Senior Bridge Mathematics A Correlation of to the Mathematics Standards Approved July 30, 2010 Bid Category 13-130-10 A Correlation of, to the Mathematics Standards Mathematics Standards I. Ways of Looking: Revisiting Concepts

More information

Linear Programming Methods By Heady and Candler

Linear Programming Methods By Heady and Candler Linear Programming Methods By Heady and Candler If you are searched for a book Linear Programming Methods by Heady and Candler in pdf format, then you have come on to the faithful site. We furnish the

More information

file:///d:/mohammad 1/New Folder/Freeman/Microeconomics Paul Krug...

file:///d:/mohammad 1/New Folder/Freeman/Microeconomics Paul Krug... 1 of 33 5/26/2013 10:46 PM COURSES > C > CONTROL PANEL > POOL MANAGER > POOL CANVAS Add, modify, and remove questions. Select a question type from the Add drop-down list and click Go to add questions.

More information

Review of Consumer Choice

Review of Consumer Choice Review of Consumer Choice 1 1. Consumer s problem Which factors determine consumer s choice? 2. Single consumer s demand function 3. What happens when some variables change? Income changes Price changes

More information

Facing Myself. by Frank Cost. Professor. Rochester Institute of Technology. Fossil Press Rochester, New York

Facing Myself. by Frank Cost. Professor. Rochester Institute of Technology. Fossil Press Rochester, New York Facing Myself Facing Myself by Frank Cost Professor Rochester Institute of Technology Fossil Press Rochester, New York Facing Myself Frank Cost Copyright 2006 Frank Cost and Fossil Press. All rights reserved.

More information

Localization (Position Estimation) Problem in WSN

Localization (Position Estimation) Problem in WSN Localization (Position Estimation) Problem in WSN [1] Convex Position Estimation in Wireless Sensor Networks by L. Doherty, K.S.J. Pister, and L.E. Ghaoui [2] Semidefinite Programming for Ad Hoc Wireless

More information

Review #Final Exam MATH 142-Drost

Review #Final Exam MATH 142-Drost Fall 2007 1 Review #Final Exam MATH 142-Drost 1. Find the domain of the function f(x) = x 1 x 2 if x3 2. Suppose 450 items are sold per day at a price of $53 per item and that 650 items are

More information

Fixtures for Production of Modular Weld Tables

Fixtures for Production of Modular Weld Tables TSM 416 Technology Capstone Projects Undergraduate Theses and Capstone Projects 4-28-2017 Fixtures for Production of Modular Weld Tables Jeremy Andersen Iowa State University, jeremya@iastate.edu Cameron

More information

Characteristics of Linear Relations

Characteristics of Linear Relations HW Mark: 10 9 8 7 6 RE-Submit Characteristics of Linear Relations This booklet belongs to: Period LESSON # DATE QUESTIONS FROM NOTES Questions that I find difficult Pg. Pg. Pg. Pg. Pg. Pg. Pg. Pg. Pg.

More information

Cambridge International Examinations Cambridge International General Certificate of Secondary Education

Cambridge International Examinations Cambridge International General Certificate of Secondary Education Cambridge International Examinations Cambridge International General Certificate of Secondary Education *5499642845* CAMBRIDGE INTERNATIONAL MATHEMATICS 0607/63 Paper 6 (Extended) May/June 2018 1 hour

More information

I Economic Growth 5. Second Edition. Robert J. Barro Xavier Sala-i-Martin. The MIT Press Cambridge, Massachusetts London, England

I Economic Growth 5. Second Edition. Robert J. Barro Xavier Sala-i-Martin. The MIT Press Cambridge, Massachusetts London, England I Economic Growth 5 Second Edition 1 Robert J. Barro Xavier Sala-i-Martin The MIT Press Cambridge, Massachusetts London, England Preface About the Authors xv xvii Introduction 1 1.1 The Importance of Growth

More information

Science Binder and Science Notebook. Discussions

Science Binder and Science Notebook. Discussions Lane Tech H. Physics (Joseph/Machaj 2016-2017) A. Science Binder Science Binder and Science Notebook Name: Period: Unit 1: Scientific Methods - Reference Materials The binder is the storage device for

More information

Partial Differentiation 1 Introduction

Partial Differentiation 1 Introduction Partial Differentiation 1 Introduction In the first part of this course you have met the idea of a derivative. To recap what this means, recall that if you have a function, z say, then the slope of the

More information

When the Threat is Stronger than the Execution: Trade Liberalization and Welfare under Oligopoly

When the Threat is Stronger than the Execution: Trade Liberalization and Welfare under Oligopoly When the Threat is Stronger than the Execution: Trade Liberalization and Welfare under Oligopoly Dermot Leahy Maynooth University J. Peter Neary Oxford, CEPR and CESifo ESEM 2016, Geneva August 24, 2016

More information

This is Appendix A: Graphs in Economics, appendix 1 from the book Economics Principles (index.html) (v. 1.0).

This is Appendix A: Graphs in Economics, appendix 1 from the book Economics Principles (index.html) (v. 1.0). This is Appendix A: Graphs in Economics, appendix 1 from the book Economics Principles (index.html) (v. 1.0). This book is licensed under a Creative Commons by-nc-sa 3.0 (http://creativecommons.org/licenses/by-nc-sa/

More information

ISO INTERNATIONAL STANDARD. Hot-rolled steel sections Part 14: Hot-finished structural hollow sections Dimensions and sectional properties

ISO INTERNATIONAL STANDARD. Hot-rolled steel sections Part 14: Hot-finished structural hollow sections Dimensions and sectional properties INTERNATIONAL STANDARD ISO 657-14 Third edition 2000-03-15 Hot-rolled steel sections Part 14: Hot-finished structural hollow sections Dimensions and sectional properties Profilés en acier laminés à chaud

More information

Introduction To Animal Science (5th Edition) By W. Stephen Damron READ ONLINE

Introduction To Animal Science (5th Edition) By W. Stephen Damron READ ONLINE Introduction To Animal Science (5th Edition) By W. Stephen Damron READ ONLINE Pond is for the mainstream introduction to animal science taught in every university that has a school Basic Animal Nutrition

More information

MATH 105: Midterm #1 Practice Problems

MATH 105: Midterm #1 Practice Problems Name: MATH 105: Midterm #1 Practice Problems 1. TRUE or FALSE, plus explanation. Give a full-word answer TRUE or FALSE. If the statement is true, explain why, using concepts and results from class to justify

More information

THE ECONOMICS OF INNOVATION NEW TECHNOLOGIES AND STRUCTURAL CHANGE

THE ECONOMICS OF INNOVATION NEW TECHNOLOGIES AND STRUCTURAL CHANGE THE ECONOMICS OF INNOVATION NEW TECHNOLOGIES AND STRUCTURAL CHANGE Cristiano Antonelli Dipartimento di economia Università di Torino Via Po 53, 10124 Torino cristiano.antonelli@unito.it 1 CONTENTS FOREWORD

More information

Unit 7 Partial Derivatives and Optimization

Unit 7 Partial Derivatives and Optimization Unit 7 Partial Derivatives and Optimization We have learned some important applications of the ordinary derivative in finding maxima and minima. We now move on to a topic called partial derivatives which

More information

M.Tolotti - Mathematics (Preparatory) - September Exercises. Maximize p(g(x))g(x) q x subject to x R +

M.Tolotti - Mathematics (Preparatory) - September Exercises. Maximize p(g(x))g(x) q x subject to x R + M.Tolotti - Mathematics (Preparatory) - September 2010 1 Exercises EXERCISE 1. where Maximize p(g(x))g(x) q x subject to x R + p : R R is constant, i.e. p(g(x)) = p = 1 for all x. g(x) = 35x x 2. q = 10.

More information

Modern Graphics Communications (4th Edition) By Frederick E. Giesecke, Alva Mitchell

Modern Graphics Communications (4th Edition) By Frederick E. Giesecke, Alva Mitchell Modern Graphics Communications (4th Edition) By Frederick E. Giesecke, Alva Mitchell modern graphics communication 4th edition are a good way to achieve details about operating certainproducts. Many products

More information

What Is That Patent Really Worth? Courts Take a Hard Look at the "Reasonable Royalty" Calculation Jonathan D. Putnam Competition Dynamics

What Is That Patent Really Worth? Courts Take a Hard Look at the Reasonable Royalty Calculation Jonathan D. Putnam Competition Dynamics What Is That Patent Really Worth? Courts Take a Hard Look at the "Reasonable Royalty" Calculation Jonathan D. Putnam Competition Dynamics Silicon Valley Advanced Patent Law Institute December 6-7, 2012

More information

An Introduction to Computable General Equilibrium Modeling

An Introduction to Computable General Equilibrium Modeling An Introduction to Computable General Equilibrium Modeling Selim Raihan Professor Department of Economics, University of Dhaka And, Executive Director, SANEM Presented at the ARTNeT-GIZ Capacity Building

More information

Honors Chemistry Summer Assignment

Honors Chemistry Summer Assignment Honors Chemistry Summer Assignment Page 1 Honors Chemistry Summer Assignment 2014-2015 Materials needed for class: Scientific or Graphing Calculator Mrs. Dorman ldorman@ringgold.org Notebook with folder

More information

The following content is provided under a Creative Commons license. Your support will help

The following content is provided under a Creative Commons license. Your support will help MITOCW Lecture 4 The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation

More information

Teaching the Uncertainty Principle In Introductory Physics

Teaching the Uncertainty Principle In Introductory Physics Teaching the Uncertainty Principle In Introductory Physics Elisha Huggins, Dartmouth College, Hanover, NH Eliminating the artificial divide between classical and modern physics in introductory physics

More information

How new is the new VCE Economics Study Design?

How new is the new VCE Economics Study Design? A TEACHER S GUIDE Implementing the new VCE Economics Study Design with the Economics Down Under series From January 2017, teachers will be working with an exciting and new VCE Economics Study Design for

More information

Production Functions and Cost of Production Xingze Wang, Ying Hsuan Lin, and Frederick Jao (2007)

Production Functions and Cost of Production Xingze Wang, Ying Hsuan Lin, and Frederick Jao (2007) Production Functions and Cost of Production Xingze Wang, Ying Hsuan Lin, and Frederick Jao (2007) 14.01 Principles of Microeconomics, Fall 2007 Chia-Hui Chen October 3, 2007 Lecture 12 Production Functions

More information

[f(t)] 2 + [g(t)] 2 + [h(t)] 2 dt. [f(u)] 2 + [g(u)] 2 + [h(u)] 2 du. The Fundamental Theorem of Calculus implies that s(t) is differentiable and

[f(t)] 2 + [g(t)] 2 + [h(t)] 2 dt. [f(u)] 2 + [g(u)] 2 + [h(u)] 2 du. The Fundamental Theorem of Calculus implies that s(t) is differentiable and Midterm 2 review Math 265 Fall 2007 13.3. Arc Length and Curvature. Assume that the curve C is described by the vector-valued function r(r) = f(t), g(t), h(t), and that C is traversed exactly once as t

More information

ECONOMICS 117: ECONOMIC GROWTH

ECONOMICS 117: ECONOMIC GROWTH ECONOMICS 117: ECONOMIC GROWTH Winter 2009 T, Th 9:30 10:50am Peterson 102 Prof. Mark Machina Office: 217 Econ Bldg. Office Hours: Tu,Th 12-2pm TA: Youjin Hahn 118 Econ Bldg. Wed 9-11am The subject of

More information

Intermediate Microeconomics And Its Application, 11th Edition By Walter Nicholson, Christopher M. Snyder READ ONLINE

Intermediate Microeconomics And Its Application, 11th Edition By Walter Nicholson, Christopher M. Snyder READ ONLINE Intermediate Microeconomics And Its Application, 11th Edition By Walter Nicholson, Christopher M. Snyder READ ONLINE Blanchard:Macroeconomics, Global Edition by Olivier Blanchard Paperback 61.99. Intermediate

More information

18.3. Stationary Points. Introduction. Prerequisites. Learning Outcomes

18.3. Stationary Points. Introduction. Prerequisites. Learning Outcomes Stationary Points 8.3 Introduction The calculation of the optimum value of a function of two variables is a common requirement in many areas of engineering, for example in thermodynamics. Unlike the case

More information

ANSWER KEY. (a) For each of the following partials derivatives, use the contour plot to decide whether they are positive, negative, or zero.

ANSWER KEY. (a) For each of the following partials derivatives, use the contour plot to decide whether they are positive, negative, or zero. Math 2130-101 Test #2 for Section 101 October 14 th, 2009 ANSWE KEY 1. (10 points) Compute the curvature of r(t) = (t + 2, 3t + 4, 5t + 6). r (t) = (1, 3, 5) r (t) = 1 2 + 3 2 + 5 2 = 35 T(t) = 1 r (t)

More information

Name: Practice Exam 3B. April 16, 2015

Name: Practice Exam 3B. April 16, 2015 Department of Mathematics University of Notre Dame Math 10120 Finite Math Spring 2015 Name: Instructors: Garbett & Migliore Practice Exam 3B April 16, 2015 This exam is in two parts on 12 pages and contains

More information

ISO 1101 Geometrical product specifications (GPS) Geometrical tolerancing Tolerances of form, orientation, location and run-out

ISO 1101 Geometrical product specifications (GPS) Geometrical tolerancing Tolerances of form, orientation, location and run-out INTERNATIONAL STANDARD ISO 1101 Third edition 2012-04-15 Geometrical product specifications (GPS) Geometrical tolerancing Tolerances of form, orientation, location and run-out Spécification géométrique

More information

AutoCAD 2016 for Civil Engineering Applications

AutoCAD 2016 for Civil Engineering Applications Introduction to AutoCAD 2016 for Civil Engineering Applications Learning to use AutoCAD for Civil Engineering Projects Nighat Yasmin Ph.D. SDC P U B L I C AT I O N S Better Textbooks. Lower Prices. www.sdcpublications.com

More information

Calculus 3 Exam 2 31 October 2017

Calculus 3 Exam 2 31 October 2017 Calculus 3 Exam 2 31 October 2017 Name: Instructions: Be sure to read each problem s directions. Write clearly during the exam and fully erase or mark out anything you do not want graded. You may use your

More information

Contents Systems of Linear Equations and Determinants

Contents Systems of Linear Equations and Determinants Contents 6. Systems of Linear Equations and Determinants 2 Example 6.9................................. 2 Example 6.10................................ 3 6.5 Determinants................................

More information

Rate of Change and Slope by Paul Alves

Rate of Change and Slope by Paul Alves Rate of Change and Slope by Paul Alves Activity overview This lesson was designed for the Grade 10 Applied curriculum in Ontario. In that course, students are expected to connect the rate of change of

More information

The McKinsey Engagement 1st (first) Edition Text Only By Paul N. Friga Ph.D.

The McKinsey Engagement 1st (first) Edition Text Only By Paul N. Friga Ph.D. The McKinsey Engagement 1st (first) Edition Text Only By Paul N. Friga Ph.D. If you are looking for a ebook The McKinsey Engagement 1st (first) edition Text Only by Paul N. Friga Ph.D. in pdf format, then

More information

Standards of Learning Guided Practice Suggestions. For use with the Mathematics Tools Practice in TestNav TM 8

Standards of Learning Guided Practice Suggestions. For use with the Mathematics Tools Practice in TestNav TM 8 Standards of Learning Guided Practice Suggestions For use with the Mathematics Tools Practice in TestNav TM 8 Table of Contents Change Log... 2 Introduction to TestNav TM 8: MC/TEI Document... 3 Guided

More information

Basic Sketching Techniques

Basic Sketching Techniques Basic Sketching Techniques Session Speaker Asst. Prof. DOD 1 Contents Learning Objective Introduction Perspective Basic Geometry Complex geometry Exploded view Exercise 2 Ideation sketches Ideation sketches

More information

ECONOMICS 117: ECONOMIC GROWTH

ECONOMICS 117: ECONOMIC GROWTH ECONOMICS 117: ECONOMIC GROWTH Winter 2007 T,Th 9:30 10:50am WLH 2111 Prof. Mark Machina Economics Bldg. 217 Hours: Wed 8:00-noon TA: Lindsay Oldenski Sequoyah Hall 227 Tu 5-6:30pm, Th 11-1:30 The subject

More information

INVESTMENT BANKING FOCUS NOTES BY JOSHUA ROSENBAUM, JOSHUA PEARL

INVESTMENT BANKING FOCUS NOTES BY JOSHUA ROSENBAUM, JOSHUA PEARL INVESTMENT BANKING FOCUS NOTES BY JOSHUA ROSENBAUM, JOSHUA PEARL DOWNLOAD EBOOK : INVESTMENT BANKING FOCUS NOTES BY JOSHUA Click link bellow and free register to download ebook: INVESTMENT BANKING FOCUS

More information

College Algebra. Lial Hornsby Schneider Daniels. Eleventh Edition

College Algebra. Lial Hornsby Schneider Daniels. Eleventh Edition College Algebra Lial et al. Eleventh Edition ISBN 978-1-2922-38-9 9 781292 2389 College Algebra Lial Hornsb Schneider Daniels Eleventh Edition Pearson Education Limited Edinburgh Gate Harlow Esse CM2 2JE

More information

2001 Chartered Financial Analyst Association for Investment Management and Research

2001 Chartered Financial Analyst Association for Investment Management and Research DOUGLAS T. WILLS Milgard School of Business University of Washington, Tacoma 1900 Commerce Street Box 358420 Tacoma, WA 98402-3100 253.692.5626 dtwills@uw.edu EDUCATION 2001 Chartered Financial Analyst

More information

Idolatry And Infinity: Of Art, Math, And God By David R. Topper

Idolatry And Infinity: Of Art, Math, And God By David R. Topper Idolatry And Infinity: Of Art, Math, And God By David R. Topper If you are looking for a ebook Idolatry and Infinity: Of Art, Math, and God by David R. Topper in pdf form, then you have come on to the

More information

Summer Assignment for students entering Pre IB Algebra II

Summer Assignment for students entering Pre IB Algebra II Summer Assignment for students entering Pre IB Algebra II Part I - Problems Directions: 1. Students, please complete the attached packet of Algebra 1 problems by the first day of school. You are expected

More information