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chap1

Course: AAEC 3315, Fall 2008
School: Texas Tech
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3315 AAEC Agricultural Price Theory Chapter 1 Introduction INTRODUCTION Economics is the study of how to allocate scarce resources to produce goods & services that help satisfy unlimited human wants. INTRODUCTION Three important aspects of definition: "Economics is the study of how to allocate scarce resources (inputs or factors of production) to produce goods & services...

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3315 AAEC Agricultural Price Theory Chapter 1 Introduction INTRODUCTION Economics is the study of how to allocate scarce resources to produce goods & services that help satisfy unlimited human wants. INTRODUCTION Three important aspects of definition: "Economics is the study of how to allocate scarce resources (inputs or factors of production) to produce goods & services that help satisfy unlimited human wants." Limited Resources (Resource Scarcity) Unlimited Wants - most basic assumption is that each individual has a desire for more - more is preferred to less (ex. money) Allocation - making decisions about how to use our resources or capabilities among unlimited wants. IMPORTANT CHARACTERISTICS OF RESOURCES Resources have economic value Producers generally must pay to use resources Resources have alternative uses Since resources have alternative uses, trade-offs must be made Opportunity costs are the measure of this trade-off OPPORTUNITY COSTS If you use a good for one purpose, you give up the opportunity to use it elsewhere; opportunity costs reflect the value of alternative opportunities foregone or sacrificed ALLOCATION OVER TIME Time is another important element in economic decisions. Someone has to make the decision whether to use a resource today or in the future. (ex. Gas, Water, etc.) All economic systems need to answer four basic questions: What to produce? How to produce? For whom it will be produced? How to achieve economic growth? Alternative approaches to address the four basic questions: Tradition (custom and traditions) Central direction The Market System or the Price System The Market System or the Price System The U.S. and many other market-driven economies performs the four principal functions based on, at least in part, the price system. What be should produced is decided by the amount of each good that the consumers want and the price they are willing to pay for it. How should resources be used is decided by the relative value of various types of materials and equipment. How should output be distributed (For whom it will be produced) is decided by, in general, the purchasing power of individuals. The purchasing power of individuals depends largely on the prices of resources they own. Decisions regarding economic growth is also motivated, at least in part, through the price system. The Price System and Microeconomics Microeconomics or at least a major part of it is often called price theory because so much of it is concerned so directly with the workings of the price system. Microeconomics - the study of economic decisions at the individual producer & consumer level (ex - profit maximizing level of output for a firm, how to spend your weekly budget) MACROECONOMICS Macroeconomics is primarily concerned with the study of fluctuations in the levels of employment, aggregate income, and the general price level, and of the ways to prevent such fl...

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Texas Tech - AAEC - 3315
AAEC 3315 Agricultural price TheoryChapter 2 Consumer Behavior and Individual DemandObjectivesTo gain an understanding:How an individual's budget limits the goods that can be purchased About "Utility" Indifference curves and Budget lines Ut
Texas Tech - AAEC - 3315
AAEC 2305 Fundamentals of Ag EconomicsImperfectly Competitive MarketsImperfectly Competitive MarketsThere are three categories of imperfect competition among sellers Monopoly Monopolistic Competition OligopolyMonopoliesCharacteristics o
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryCHAPTER 5 Theory of Production The Case of One Variable Input in the Short-RunObjectivesTo gain understanding of: Theory of ProductionProduction CurvesTotal Physical Product Average Physical Product Margi
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryCHAPTER 7 Revenue Relationships The Case of One Variable Input in the Short-RunObjectivesTo gain understanding of: Revenue RelationshipsTotal Revenue Average Revenue Marginal RevenueRevenue FunctionsR
Texas Tech - AAEC - 2350
AAEC 2305 Fundamentals of Ag EconomicsIntroductionwww.aaec.ttu.edu/faculty/smisra/misra/aaec2305.htmINTRODUCTIONEconomics is the study of how to allocate scarce resources to produce goods & services that help satisfy unlimited human wants.
Texas Tech - AAEC - 2350
AAEC 2305 Fundamentals of Ag EconomicsEconomics of DemandObjectivesTo gain an understanding: How an individuals budget limits the goods that can be purchased About Utility How an indifference curve is derived How a demand curve is det
Texas Tech - AAEC - 2350
AAEC 2305 Fundamentals of Ag EconomicsChapter 4 Continued Costs, Returns, and Profit MaximizationRevenue ConceptsTotal Revenue (TR) amount of money received when the producer sells the product. TPP 0.00 10.00 25.00 50.00 70.00PY 3.0
Texas Tech - AAEC - 2350
AAEC 2305 Fundamentals of Ag EconomicsChapter 5 Theory of MarketsObjectivesTo learn: HowSupply & Demand curves interact to determine the prices & quantities of goods & services produced & consumed under a perfectly competitive market str
Texas Tech - AAEC - 2350
AAEC 2305 Fundamentals of Ag EconomicsCHAPTER 3 Production Functions and Product Curves Factors of ProductionInputs Fixed Inputs - factors must be maintained (i.e. paid for, kept up, etc.) whether production occurs or not (ex. land, build
Texas Tech - AAEC - 3315
AECO 3315-001 (11:00-12:20 pm, TR, Ag. 311) Agricultural Price Theory Fall 2008 Professor: Office: Phone: E-mail: Office Hours: Class Meeting: Text: Web: Dr. Sukant Misra 108 Goddard Building 742-2808 sukant.misra@ttu.edu By Appointment 11:00 to 12:2
Texas Tech - AAEC - 3315
AECO 3315 (08:00-09:20 am, TR, Ag. 311) Agricultural Price Theory Spring 2008 Professor: Office: Phone: E-mail: Office Hours: Class Meeting: Text: Web: Dr. Sukant Misra 108 Goddard Building 742-2808 sukant.misra@ttu.edu By Appointment 08:00 to 09:20,
Texas Tech - AAEC - 3315
AAEC 3315, Section 001 Quiz #3 (Assignment 2); Due: 9/16/08 Q1.Name: _ SS#: _Given the diagram and information below, draw a market demand curve by clearly identifying quantities of the product that will be demanded in the market at $1 and $2 pri
Texas Tech - AAEC - 3315
AAEC 3315, Practice Assignment 2 (Quiz 7) Due: 3/06/08, Total Points: 20 NAME: Q1. A hypothetical Total Cost function is given by: TC = 0.5 +2Q - 2Q2 + Q3, where TC is total cost of production in dollars and Q is quantity of output produced. a) Pleas
Texas Tech - AAEC - 3315
AAEC 3315, QUIZ #5, February 26, 2008 Total Points: 10 NAME: SS #:1. Given the TPP curve in Figure 1, plot the corresponding APP and MPP curves in Figure 2 and show all the relationships between the top and the bottom diagrams. (Label the diagrams
Texas Tech - AAEC - 3315
AAEC 3315, Section 001 January 15, 2009; Quiz #1 Q1. Bags of Total Marginal Chips utility Utility -0 0 1 20 2 45 3 54 4 50Name: _ SS#: _a. The table given above provides levels of total utility derived by a consumer from consumption of chips. Ple
Texas Tech - AAEC - 3315
AAEC 3315, QUIZ #6, 10/2/08 Total Points: 10 NAME: Q1. SS #:Complete the upper portion of the diagram by drawing a TP curve and the lower portion of the diagram by drawing the corresponding AP and MP curves. Show clearly the relationships among the
Texas Tech - AAEC - 3315
AAEC 3315, EXAM II, 10/23/08 Total Points: 100 NAME: Q1. A hypothetical production function is given by: Y = 5X2 - 2 X3, where Y is output and X is a variable input. a. Derive the corresponding Average Product and Marginal Product functions. 4ptsb.
Texas Tech - AAEC - 3315
AAEC 3315, Section 001 Quizzes 7 & 8 (Assignment 3); Due: 10/09/08 Q1.Name: _ SS#: _A hypothetical production function is given by: Y = 4X2 - 2 X3, where Y is output and X is a variable input. a. Derive the corresponding Average Product and Margi
Texas Tech - AAEC - 3315
AAEC 3315, Quizzes 9&10 Due: 10/14/08, Total Points: 20 NAME: _ Q1. A hypothetical Total Cost function is given by: TC = 0.5 +2Q - 2Q2 + Q3, where TC is total cost of production in dollars and Q is quantity of output produced. a) Please calculate/det
Texas Tech - AAEC - 3315
AAEC 3315, Section 001 September 18, 2008, Quiz #4 Q1.Name: _ SS#: _Suppose that the demand function for gasoline is given by: Q G = 23 7 P G + 0.001 Y, where Q G is quantity demanded of gasoline per month in gallons, P G is price for a gallon o
Texas Tech - AAEC - 3401
Chapter 7-The Normal Probability Distribution7.1 Properties of the Normal DistributionDefinition: Probability Density Function A probability density function is an equation used to compute probabilities of continuous random variables that must sat
Texas Tech - AAEC - 3401
Chapter 7-The Normal Probability Distribution7.1 Properties of the Normal Distribution EXAMPLE: Illustrating the Uniform Distribution Imagine that a friend of yours is always late. Let the random variable X represent the time from when you are suppo
Texas Tech - AAEC - 3401
Chapter 2Organizing and Summarizing DataThe Statistical Process (p. 2) involves four steps: 1. Identify the research objective. 2. Collect information to answer the question posed in (1). 3. Organize and summarize the information. 4. Draw conclusion
Texas Tech - AAEC - 3401
Chapter 5-Probability5.1 Probability of Simple Events Probability is the likelihood (or chance) of an outcome or event (p. 223). Experiment-a process that can be repeated and the results are uncertain. E.g., tossing a fair coin is an experiment. P(h
Texas Tech - AAEC - 3401
Chapter 6-The Binomial Probability Distribution6.1 Probability Distributions Definition (p. 285): A random variable is a numerical measure of the outcome of a probability experiment, so its value is determined by chance. Random variables are denoted
Texas Tech - AAEC - 3401
Chi-Square-Chapter 11, Sections 11.1-11.2Your text discusses three types of chi-square tests: 1. Goodness-of-Fit 2. Independence 3. Homogeneity of Proportions We use the Greek symbol 2 (pronounced " k i - square " to rhyme with "sky-square") to repr
Texas Tech - AAEC - 3401
Chapter 10Hypothesis TestingDefinition: A statistical hypothesis is a statement or claim regarding a population parameter (e.g., =500). To determine the truth or falsity of a statistical hypothesis with 100% accuracy, you would need to examine the
Texas Tech - AAEC - 3401
4.1 Scatter Diagrams and CorrelationDefinition: The response (dependent) variable is the variable whose value can be explained by, or is determined by, the value of the predictor (independent) variable.Definition: A scatter diagram is a graph tha
Texas Tech - AAEC - 3401
Chi-SquareChapter 11, Sections 11.1-11.2Your text discusses three types of chi-square tests: 1. Goodness-of-Fit 2. Independence 3. Homogeneity of Proportions We use the Greek symbol 2 (pronounced k i square to rhyme with sky-square) to represent
Texas Tech - AAEC - 3401
Chapter 11-Inferences on Two Samples11.1-Inference about Two Means: Dependent Samples (or Matched-Pairs) t hypothesis test t confidence interval 11.2-Inference about Two Means: Independent Samples t hypothesis test-unequal population variances t
Texas Tech - AAEC - 3401
Chapter 2-Organizing and Summarizing DataThe Statistical Process (p. 4) involves four steps: 1. Identify the research objective. 2. Collect information to answer the question posed in (1). 3. Organize and summarize the information. 4. Draw conclusio
Texas Tech - AAEC - 3401
Chapter 3Numerically Summarizing DataTo reduce a large body of data to an understandable form that can be quickly grasped, we construct a frequency distribution table for the data and draw the corresponding histogram or frequency curve (as illustrat
Texas Tech - AAEC - 3401
8.1 Sampling Distributions; The Central Limit Theorem- Population Distribution (7.3) - - Sampling Distribution of the Mean (8.1) -xX X1 X2 X3 . . . XN n n nX1 =_xnX2 = X3 =--_Why is there less dispersion in the right curve?X
Texas Tech - AAEC - 3401
Chapter 9-Confidence Intervals about a Single Parameter9.1 Confidence Intervals about a Population Mean Point Estimate vs. Interval Estimate_Definition: A point estimate of a parameter is the value of a statistic ( X ) that estimates the value of
Texas Tech - AAEC - 3401
One-way Analysis of Variance (available on E-book)In basic statistics, the F-distribution is used in: (1) making inferences about two population variances- i.e., homogeneity of variance test, and (2) analysis of variance (ANOVA). In this class, we w
Texas Tech - AAEC - 3401
Chapter 9Hypothesis TestingDefinition: A statistical hypothesis is a statement or claim regarding a population parameter (e.g., =500). To determine the truth or falsity of a statistical hypothesis with 100% accuracy, you would need to examine the e
Texas Tech - AAEC - 3401
Chapter 10Inferences on Two Samples10.1Inference about Two Means: Dependent Samples (or Matched-Pairs) t hypothesis test t confidence interval 10.2Inference about Two Means: Independent Samples t hypothesis testunequal population variances t con
Texas Tech - AAEC - 3401
Chi-SquareChapter 11, Sections 11.1-11.2Your text discusses three types of chi-square tests: 1. Goodness-of-Fit 2. Independence 3. Homogeneity of Proportions We use the Greek symbol 2 (pronounced k i square to rhyme with sky-square) to represent
Texas Tech - AAEC - 5308
AAEC 5/6308, Lecture 10 Lecture 10 Optimal Control Theory and Nonrenewable Resource Use 1 Optimal control theoryPage 11.1 To determine optimal extraction of a nonrenewable resource, we need new tools 1.2 We need to determine optimal response at
Texas Tech - AAEC - 5308
AAEC 5/6308, Lecture 11 Lecture 11 Renewable Resource Economics 1 Renewable natural resources are those capable of self-reproduction 1.1 Here we will focus on fisheries, but the concepts presented will be generally applicable to most natural resourc
Texas Tech - AAEC - 5308
AAEC 5/6308, Evolutionary Games (Gintis, Game Theory Evolving, Chapter 9)1. Structure of Evolutionary Game 1.1. Definitions 1.1.1. Each player follows one of n pure strategies si for i = 1, 2,., n . 1.1.1.1. A pure strategy is one in which one of t
Texas Tech - AAEC - 5308
AAEC 5308/6308, Lecture 1 Lecture 1 Subject Matter and History of Natural Resource EconomicsPage 11 Subject matter of natural resource economics 1.1 Concerned with the problems and issues of management of natural resources and environmental qual
Texas Tech - AAEC - 4306
Nontariff BarriersChapter 7Nontariff Barriers Quotas: Import Export Tariff Rate Quota Subsidies Import Export Qualitative Restrictions Health and safety standardQuotas Quotas are government-imposed limits on the quantity or value of
Texas Tech - AAEC - 6311
Discrete Dependent VariablesBinary and Discrete Choice ModelsAAEC 6311 Prof. Belasco1Binary Dependent Variables The Linear Probability Model (LPM) canbe written as E(y|x) = P(y = 1|x) = x + There are some drawbacks to this model: Hete
Texas Tech - ISQS - 4350
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Texas Tech - ISQS - 4350
Texas Tech - ISQS - 4350
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Texas Tech - PHYS - 5306
Sect. 1.3: Constraints Discussion up to now All mechanics is reduced to solving a set of simultaneous,ndcoupled, 2 order differential eqtns which come from Newton's 2nd Law applied to each mass individually:(dpi/dt) = mi(d2ri/dt2) = Fi(e) + jF
Texas Tech - PHYS - 5306
Sect. 2.4: HP for Non-Holonomic Systems Can formally extend HP to include some types of non-holonomic systems. Derivation of Lagranges Eqtns: Holonomic constraint requirement does not appear until last step. (When qi are considered independent).
Texas Tech - PHYS - 5306
Sect. 4.7: Finite Rotations So far: Have used various representations to describe the relative orientation of 2 Cartesian coord systems with common origin: We've shown the transformation matrix A in terms of: The Euler Angles: A = A( ,) The Cayley
Texas Tech - PHYS - 5306
Find the horizontal deflection from the plumb line caused by the Coriolis force acting on a particle falling freely in Earth's gravitational field from height h above Earth's surface. (N. hemisphere):Example (Marion) Acceleration in the rotating
Texas Tech - PHYS - 5306
Sect 5.7: Heavy Symmetrical Top with 1 Point Fixed, Part I Euler's Eqtns of Motion for a Rigid Body with 1 pt. fixed:I1(d1/dt) - 23(I2 -I3) = N1 I2(d2/dt) - 31(I3 -I1) = N2 I3(d3/dt) - 12(I1 -I2) = N3(1) (2) (3) Complicated example! The heavy
Texas Tech - PHYS - 5306
Sect. 2.6: Conservation Theorems & Symmetry Properties Lagrange Method: A method to get the eqtns ofmotion. Solving them = math!n degrees of freedom. Need n eqtns of motion (2nd order diff. eqtns) 2n constants of integration (2n initial conditi
Texas Tech - PHYS - 5306
Sect. 8.3: Routh's Procedure These examples were simple, but they illustrate the procedure which is followed in many more complex problems! In most cases:1) The 1st Hamilton Equation qi = ( H/ pi), usuallymerely gives the relation between pi & qi
Texas Tech - PHYS - 5306
Definition of inertia tensor (continuous body):Sect 5.4: Eigenvalues of I & Principal Axis TransformationIjk V(r)[r2jk - xjxk]dV Clearly, Ijk is symmetric: Ijk = Ikj Out of the 9 elements Ijk only 6 are independent. Ijk depend on the location
Texas Tech - PHYS - 5306
Brief Discussion!Apsidal Angles & Precession Particle undergoing bounded, non-circular motion in a central force field Always have r1 < r < r2 V(r) vs r curve Only 2 apsidal distances exist for bounded, noncircular motion. Possible motion:
Texas Tech - PHYS - 5306
Chapter 1: Survey of Elementary Principles Sect. 1.1: Mechanics of a Particle Basic definitions & notation: m mass of particle r position vector of particle (arbitrary v (dr/dt) = velocity of particle p mv = linear momentum of particle Interac
Texas Tech - PHYS - 5306
General Lorentz Transformation Consider a Lorentz Transformation, with arbitrary v, : ct = (ct - r) r = r + -2(r)( -1) - ct Transformation matrix in 4d spacetime: x Lx Can write L as: L = RL0 = L0R. Here R rotation matrix, as in Ch. 4. L0 Pure
Texas Tech - PHYS - 5306
Sect. 3.10: Central Force Field Scattering Application of Central Forces outside of astronomy: Scattering of particles. Atomic scale scattering: Need QM of course! Description of scattering processes: Independent of CM or QM. 1 body formulation
Texas Tech - PHYS - 5306
Sect. 3.3: Equivalent 1d Problem Formally, the 2 body Central Force problem has been reduced to evaluation of 2 integrals, which will give r(t) & (t) : (Given V(r) can do them, in principle.)t(r) = dr({2/m}[E - V(r)] - [ 2(m2r2)])- (1) Limits r0
Texas Tech - PHYS - 5306
Sect. 1.5: Velocity-Dependent Potentials & the Dissipation Function Non-conservative forces? It's still possible, in a Special Case, to use Lagrange's Eqtns unchanged, provided a Generalized or Velocity-Dependent Potential U = U(qj,qj) exists, where