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Texas Tech - AAEC - 3315
AAEC 2305 Fundamentals of Ag EconomicsChapter 13 Imperfectly Competitive MarketsImperfectly Competitive MarketsThere are three categories of imperfect competition among sellers Monopoly Monopolistic Competition OligopolyMonopoliesCharac
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryChapter 10 Market Supply and ElasticityObjectivesTo learn: HowMarket Supply is determined. Elasticity of SupplyPrice Elasticity of Supply Cross-Price Elasticity of SupplyMarket SupplyIn chapter 5,
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 1 IntroductionINTRODUCTIONEconomics is the study of how to allocate scarce resources to produce goods & services that help satisfy unlimited human wants.2INTRODUCTIONThree important aspects of de
Texas Tech - AAEC - 6311
Instrumental Variables & 2SLSy = 0 + 1x1+ + kxk + xk = 0 + 1x1 + + k-1xk-1 + kxk + vAAEC 6311 Prof. Belasco1Motivation Recall original linear regression assumptions1. 2. 3. 4.Linearity Full rank (rank(X) = k) E(|X) = 0 Homoskedastic dis
Texas Tech - AAEC - 6311
Simultaneous Equationsys = 1w + 1z1+ 1 yd = 2w + 2z2+ 2AAEC 6311 Prof. Belasco1Endogeneity Endogeneity occurs when an explanatoryvariable is correlated with the error termusually due to ommitted variable, measurement error, or simultanei
Texas Tech - AAEC - 6311
Systems of Equationsy1 = 10x0 + 11x1 + 12x2 + 1 y2 = 20x0 + 21x1 + 22x2 + 2 y3 = 30x0 + 31x1 + 32x2 + 3AAEC 6311 Prof. Belasco1Motivating Example Livestock Performance and HealthIndicators Assume thei ,following model Yi = X i B + where(
Texas Tech - AAEC - 6311
Limited Dependent VariablesTruncation and censoringAAEC 6311 Prof. Belasco1Truncation and Censoring Consider a linear regression model Truncation: Dependent variable fullyobserved, but sample is incompleteyi* = xi + i , i = 1,.., NE
Texas Tech - AAEC - 4317
AAEC 4317/5317 Commodity Futures Trading and Analysis Spring 2008 MWF: 12.00 12:50 AG. 308 Instructor: Samarendu Mohanty Ag. Sci. 306 742-2821, ext: 240 sam.mohanty@ttu.edu Office Hours: Instructor: MWF 1:00 2:00 or by appointment. Recommended Text
Texas Tech - AAEC - 3315
AECO 3315 (09:30-10:50 am, TR, Ag. 311) Agricultural Price Theory Spring 2009 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 09:30 to 10:50,
Texas Tech - AAEC - 5312
Concentration in AgribusinessJames M. MacDonald and Mark Denbaly Economic Research Service/U.S. Department of Agriculture Agribusiness firms have grown steadily over the last several decades, with the result that small processors and small agricultu
Texas Tech - AAEC - 3315
AAEC 2305 Fundamentals of Ag EconomicsChapter 10 Theory of MarketsObjectivesTo learn: HowMarket Supply & Demand curves interact to determine the prices & quantities of goods & services produced & consumed under a perfectly competitive market
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryMarket Equilibrium, Consumers' Surplus, and Producers' SurplusObjectivesTo learn: HowConsumers' and Producers' Surplus are determined in a market . Consumers' and Producers' Surplus change with changing ma
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryChapter 9 Market Supply and ElasticityObjectivesTo learn: HowMarket Supply is determined. Elasticity of SupplyPrice Elasticity of Supply Cross-Price Elasticity of SupplyMarket SupplyIn chapter 5, w
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryCHAPTER 8 Profit Maximization The Case of One Variable Input in the Short-RunObjectivesTo gain understanding of: Profit MaximizationTotal Revenue Total Cost Approach Per-Unit Output Approach When should
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryCHAPTER 6 Cost Relationships The Case of One Variable Input in the Short-RunObjectivesTo gain understanding of: Cost RelationshipsFixed Costs, Variable Costs,& Total Costs Average and Marginal Costs Cost
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryChapter 3 Market Demand and ElasticityMarket DemandTo Gain an Understanding of:Derivation of Market Demand Demand Functions Own Price Elasticity of Demand Cross Price Elasticity of Demand Income Elasticit
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryCHAPTER 4 Theory of Production Some General ConceptsThe Economic SettingMarket Structure Perfect Competition Imperfect Competition Monopoly Monopolistic Competition Oligopoly Many Buyers & Sellers Homoge
Texas Tech - AAEC - 2350
AAEC 2305 Fundamentals of Ag EconomicsChapter 4 Costs, Returns, and Profit MaximizationOBJECTIVE A managers goal is to determine how much to produce to maximize profits. In Chapter 3, we established Stage II is the rational stage of production,
Texas Tech - AAEC - 3315
AAEC 3315 Agricultural Price TheoryChapter 1 Introduction INTRODUCTIONEconomics is the study of how to allocate scarce resources to produce goods & services that help satisfy unlimited human wants. INTRODUCTIONThree important aspe
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