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Questions and Answers
What does the Slutsky equation explain in consumer theory?
What does the Slutsky equation explain in consumer theory?
In the context of market structures, what characterizes a monopoly?
In the context of market structures, what characterizes a monopoly?
Which concept addresses the inefficiency caused by public goods?
Which concept addresses the inefficiency caused by public goods?
What is the primary focus of the Keynesian model of the business cycle?
What is the primary focus of the Keynesian model of the business cycle?
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What does the Nash equilibrium represent in game theory?
What does the Nash equilibrium represent in game theory?
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Which of the following is NOT a characteristic of perfect competition?
Which of the following is NOT a characteristic of perfect competition?
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What does the IS-LM model illustrate in macroeconomics?
What does the IS-LM model illustrate in macroeconomics?
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What does the term 'returns to scale' refer to in production theory?
What does the term 'returns to scale' refer to in production theory?
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What is the purpose of the Harrod-Domar growth model?
What is the purpose of the Harrod-Domar growth model?
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Which of the following is NOT a type of error in hypothesis testing?
Which of the following is NOT a type of error in hypothesis testing?
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What is the main feature of the Ordinary Least Squares (OLS) method in regression analysis?
What is the main feature of the Ordinary Least Squares (OLS) method in regression analysis?
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Which aspect of the Indian economy was significantly impacted by the balance of payments crisis in 1991?
Which aspect of the Indian economy was significantly impacted by the balance of payments crisis in 1991?
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What is a key assumption of the Classical Linear Regression Model (CLRM)?
What is a key assumption of the Classical Linear Regression Model (CLRM)?
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In probability theory, what does the law of large numbers state?
In probability theory, what does the law of large numbers state?
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Which of the following is an example of a continuous probability distribution?
Which of the following is an example of a continuous probability distribution?
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What does the term 'deindustrialization' refer to in the context of the Indian economy before 1950?
What does the term 'deindustrialization' refer to in the context of the Indian economy before 1950?
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What does the mean value theorem relate to in calculus?
What does the mean value theorem relate to in calculus?
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In linear algebra, what does the rank of a matrix indicate?
In linear algebra, what does the rank of a matrix indicate?
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Which of the following is a characteristic of quasi-convex functions?
Which of the following is a characteristic of quasi-convex functions?
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What is the application of the envelope theorem in optimization?
What is the application of the envelope theorem in optimization?
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What is the purpose of determining eigenvalues in linear algebra?
What is the purpose of determining eigenvalues in linear algebra?
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What aspect of economic analysis can first order differential equations be applied to?
What aspect of economic analysis can first order differential equations be applied to?
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Which of the following is true regarding concave functions?
Which of the following is true regarding concave functions?
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What is the significance of the chain rule in calculus?
What is the significance of the chain rule in calculus?
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Study Notes
Microeconomics
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Consumer Theory: Deals with how consumers make decisions about what to buy.
- Preference: Represents what consumers like.
- Utility: A measure of satisfaction that a consumer gets from consuming a good or service.
- Representation Theorem: A mathematical theorem that states that any preference relation can be represented by a utility function.
- Budget Constraint: Limits the amount of goods and services that a consumer can afford.
- Choice: Consumers maximize their utility subject to their budget constraint.
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Demand: The relationship between the price of a good and the quantity demanded of that good.
- Ordinary Demand: Demand curve that shows the quantity demanded at each price, keeping everything else constant.
- Compensated Demand: Demand curve that shows the quantity demanded at each price, keeping utility (satisfaction) constant.
- Slutsky Equation: A mathematical equation that decomposes the effect of a price change on demand into two parts: the substitution effect and the income effect.
- Revealed Preference Axioms: A set of axioms that can be used to derive demand functions from observed choices.
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Theory of Production and Cost: Deals with how firms produce goods and services.
- Production Technology: The set of all possible ways that a firm can combine inputs to produce output.
- Isoquants: Show all combinations of inputs that produce the same level of output.
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Production Function: A mathematical function that relates inputs to output.
- One and More Inputs: Production functions can have one input (labor) or multiple inputs (labor, capital).
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Returns to Scale: Describe how output changes when all inputs are increased proportionally.
- Increasing Returns to Scale: Output increases more than proportionally.
- Decreasing Returns to Scale: Output increases less than proportionally.
- Constant Returns to Scale: Output increases proportionally.
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Short Run and Long Run Costs: Costs that a firm faces when some inputs are fixed (short run) or all inputs are variable (long run).
- Short Run Costs: Fixed costs do not change with output.
- Long Run Costs: All costs are variable.
- Cost Curves (Short Run & Long Run): Show the relationship between the cost of production and the quantity of output.
General Equilibrium and Welfare
- Equilibrium: A state where all markets clear and there is no tendency for prices or quantities to change.
- Efficiency (Under Pure Exchange & Production): Allocations of resources that maximize total welfare (utility). Welfare economics studies how to make society better off.
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Theorems of Welfare Economics: Show the relationship between equilibrium and efficiency.
- First Welfare Theorem: A competitive equilibrium is Pareto efficient, meaning that no one can be made better off without making someone else worse off.
- Second Welfare Theorem: Any Pareto efficient allocation can be achieved as a competitive equilibrium if there is a suitable redistribution of resources.
Market Structure
- Perfect Competition: A market structure with many firms, each small relative to the size of the market. All firms produce identical products and there is no barrier to entry.
- Monopoly: A single firm controls the entire market.
- Pricing with Market Power: Firms with market power can set prices above marginal cost.
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Price Discrimination: A firm charges different prices to different customers for the same product.
- First-Degree Price Discrimination: The firm charges each customer the maximum price they are willing to pay.
- Second-Degree Price Discrimination: The price varies according to the quantity consumed.
- Third-Degree Price Discrimination: The firm segments its customers into groups and charges different prices to each group.
- Monopolistic Competition: A market structure with many firms, each producing a slightly differentiated product. There is free entry and exit.
- Oligopoly: A market structure with a few firms that dominate the market.
Game Theory
- Strategic Form Games: Games where players choose their actions simultaneously.
- Iterated Elimination of Dominated Strategies: A process of removing strategies that are never the best choice, regardless of what the other player does.
- Nash Equilibrium: A situation where no player can improve their outcome by changing their strategy, given the strategies of the other players.
- Mixed Extension and Mixed Strategy Nash Equilibrium: Players randomize their strategies.
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Examples:
- Cournot Duopoly: Firms compete by setting quantities.
- Bertrand Duopoly: Firms compete by setting prices.
- Prisoner's Dilemma: A classic game theory example that illustrates the problem of cooperation.
Public Goods and Market Failure
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Externalities: The effects of an economic activity on third parties that are not involved in the transaction.
- Positive Externalities: Benefits to third parties.
- Negative Externalities: Costs to third parties.
- Public Goods: Goods that are non-rivalrous (one person's consumption does not prevent another person from consuming it) and non-excludable (it is difficult to prevent people from consuming the good even if they do not pay for it).
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Markets with Asymmetric Information: Situations where one side of a transaction has more information than the other side.
- Adverse Selection: The situation where the uninformed side of a market faces a disproportionate number of risky or low-quality options (e.g., health insurance markets).
- Moral Hazard: The situation where one side of a transaction has an incentive to behave in a way that is harmful to the other side (e.g., borrowers may be more likely to make risky investments after taking out a loan).
Macroeconomics
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National Income Accounting: A system for tracking the flow of goods and services in an economy.
- Structure: Focuses on the production, income, and expenditure of goods and services.
- Key Concepts: Gross Domestic Product (GDP), Gross National Product (GNP), National Income, Consumption, Investment, Government Spending, and Net Exports.
- Circular Flow of Income: Illustrates the interrelationship between households, businesses, and the government in an economy.
- Measurements: Uses various methods like the expenditure approach, income approach, and production approach.
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Behavioral and Technological Functions: Represent the relationships between various economic variables.
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Consumption Functions: Relate consumption spending to income.
- Absolute Income Hypothesis: Consumption increases as income increases.
- Life-Cycle Hypothesis: Consumption is influenced by income over the entire life cycle.
- Permanent Income Hypothesis: Consumption depends on permanent income, not just current income.
- Random Walk Model of Consumption: Current consumption is influenced by past consumption and is unpredictable.
- Investment Functions: Relate investment spending to factors like interest rates, expected profits, and available capital.
- Money Demand and Supply Functions: Show the relationship between the quantity of money demanded and supplied and factors like interest rates and income.
- Production Function: Relates output to inputs like labor and capital.
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Consumption Functions: Relate consumption spending to income.
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Business Cycles and Economic Models (Closed Economy): Describe the fluctuations in economic activity over time.
- Business Cycle - Facts & Features: Recessions, expansions, peaks, troughs, and cyclical unemployment.
- The Classical Model of the Business Cycle: Focuses on flexible prices and wages, and temporary deviations from equilibrium.
- The Keynesian Model of the Business Cycle: Focuses on sticky prices and wages, and the role of aggregate demand in driving fluctuations.
- Simple Keynesian Cross Model: Determines income and employment by focusing on the relationship between aggregate expenditure and output.
- Multiplier: Shows how an initial change in spending can lead to a larger change in income.
- IS-LM Model: Combines the goods market (IS curve) and the money market (LM curve).
- Hick's IS-LM Synthesis: Combines Keynesian and Classical ideas to explain short- and long-run economic phenomena.
- Role of Monetary and Fiscal Policies: Governments use monetary and fiscal policies to stabilize the economy.
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Business Cycles and Economic Models (Open Economy): Extends the analysis to include interactions with other countries.
- Open Economy: An economy that interacts with other economies through trade and financial flows.
- Mundell-Fleming Model: An open economy IS-LM model that incorporates the exchange rate and international capital flows.
- Keynesian Flexible Price Model (Aggregate Demand & Aggregate Supply): Analyzes the relationship between aggregate demand, aggregate supply, and prices.
- Role of Monetary and Fiscal Policies: Governments use monetary and fiscal policies to influence the exchange rate, output, and price levels.
Inflation and Unemployment
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Inflation: A sustained increase in the general price level.
- Theories: Demand-pull inflation, cost-push inflation, and structural inflation.
- Measurement: Consumer Price Index (CPI) and Producer Price Index (PPI).
- Causes: Excess demand, cost shocks, and expectations.
- Effects: Reduced purchasing power, uncertainty, and distortions in resource allocation.
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Unemployment: The situation where people are looking for work but cannot find it.
- Types: Frictional unemployment, structural unemployment, cyclical unemployment, and seasonal unemployment.
- Measurement: Unemployment rate.
- Causes: Technological changes, labor market rigidities, and economic downturns.
- Effects: Lost production, reduced income, and social unrest.
Growth Models
- Harrod-Domar Model: A simple growth model that emphasizes the role of capital accumulation and savings in driving economic growth.
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Solow and Neo-classical Growth Models: More complex models that incorporate technological progress and human capital formation.
- AK Model: A simplified version of the Solow model that assumes constant returns to scale in capital.
- Romer Model: Emphasizes the role of knowledge accumulation as a driver of long-run growth.
- Schumpeterian Growth Model: Focuses on innovation and entrepreneurship as key sources of growth.
Statistics For Economics
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Probability Theory: Deals with the analysis of random events.
- Sample Space & Events: The set of all possible outcomes of an experiment and subsets.
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Axioms of Probability: The basic rules that govern probabilities.
- Probability of an event is between 0 and 1.
- Probability of the entire sample space is 1.
- Probability of the union of mutually exclusive events is the sum of their probabilities.
- Conditional Probability & Bayes' Rule: Probability of an event given that another event has occurred.
- Independent Events: Two events where the occurrence of one does not affect the probability of the other.
- Random Variables & Probability Distributions: Variables that take on different values with certain probabilities.
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Expectation, Variance & Higher-Order Moments: Measures of central tendency, dispersion, and shape of probability distributions.
- Expectation: Expected value of a random variable.
- Variance: Measure of spread around the mean.
- Functions of Random Variables: Functions that relate random variables to other variables.
- Commonly Used Discrete & Continuous Distributions: Binomial, Poisson, Normal, Exponential, and Uniform distributions.
- Jointly Distributed Random Variables: Multiple random variables that have a relationship.
- Covariance & Correlation Coefficients: Measure the relationship between random variables.
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Mathematical Statistics: Uses probability theory to analyze data and make inferences about populations.
- Random Sampling: Selecting a subset of a population to represent the entire population.
- Point & Interval Estimation: Estimating a population parameter with a single number or as a range.
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Estimation of Population Parameters: Estimating population mean, variance, and other parameters.
- Method of Moments
- Maximum Likelihood Procedures:
- Properties of Estimators: Bias, consistency, efficiency.
- Sampling Distribution: The distribution of a statistic based on multiple samples.
- Confidence Intervals: Ranges that are likely to contain the true population parameter.
- Central Limit Theorem: States that the distribution of sample means approaches normality as sample size increases.
- Law of Large Numbers: States that the average of multiple independent random variables converges to the expected value as the number of variables increases.
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Hypothesis Testing: A process of using sample data to determine whether to reject or accept a claim about a population parameter.
- Distribution of Test Statistics: The distribution of a statistic used to test a hypothesis.
- Testing Hypotheses: Testing claims about means, proportions, and variances.
- Type I & Type II Errors: Incorrect rejection or acceptance of a hypothesis.
- Power of a Test: The probability of correctly rejecting a false hypothesis.
- Tests for Comparing Parameters from Two Samples: Paired t-test, independent samples t-test, etc.
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Correlation & Regression: Analyze the relationship between variables.
- Correlation: Measure of the strength and type of linear relationship between variables.
- Regression Analysis: A technique for developing a model to predict the value of one variable based on another variable.
- Ordinary Least Squares (OLS): A method for finding the best-fitting line in regression analysis.
- CLRM Assumptions: Assumptions underlying the OLS method.
- Properties of OLS Estimators: Unbiasedness, consistency, efficiency.
- Goodness of Fit: A measure of how well the regression model fits the data.
- Variance & Covariance of OLS Estimators: Measures of the uncertainty of the estimated coefficients.
Indian Economy
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Before 1950:
- British Colonial Rule: Impact on India's economy, including the transfer of tribute.
- Deindustrialization: The decline of Indian industries due to British policies.
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Planning & Indian Development:
- Planning Models: Five-Year Plans implemented to accelerate economic growth.
- Relationship Between Agricultural & Industrial Growth: Debate on the importance of each sector's role in development.
- Challenges: Poverty, inequality, and unemployment remained significant challenges.
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After 1991:
- Balance of Payments Crisis: Led to a major economic reform program.
- Major Aspects of Economic Reforms: Liberalization, privatization, and globalization.
- Reforms in Trade & Foreign Investment: Deregulation of trade and increased inflow of foreign investment.
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Banking, Finance & Macroeconomic Policies:
- Aspects of Banking in India: Structure, functions, and regulation of the banking sector.
- CRR & SLR: Reserve requirements imposed on banks.
- Financial Sector Reforms: Liberalization of the financial sector.
- Fiscal & Monetary Policy: Government policies used to influence the economy.
- Savings & Investment Rates: Key indicators of economic growth.
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Inequalities in Social Development:
- India's Achievements: Progress in areas like health, education, and poverty reduction.
- Disparities Between States: Significant differences in human development levels across states.
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Poverty:
- Methodology of Poverty Estimation: Different poverty lines and measurement techniques.
- Issues in Poverty Estimation: Challenges in accurately measuring poverty in India.
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India's Labor Market:
- Unemployment: Types and extent of unemployment.
- Labor Force Participation Rates: Trends and factors influencing participation.
Mathematics for Economics
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Preliminaries & Functions: Foundation concepts and mathematical functions relevant to economics.
- Set Theory & Number Theory: Basic concepts of sets and numbers.
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Elementary Functions: Quadratic, polynomial, power, exponential, and logarithmic functions.
- Functions of Several Variables: Functions with multiple input variables.
- Graphs & Level Curves: Visual representations of functions.
- Convex Set: A set where any two points in the set are connected by a line segment that lies entirely within the set.
- Concavity & Quasiconcavity of Functions: Properties of functions that relate to curvature.
- Convexity & Quasi-convexity of Functions: Properties of functions that relate to curvature.
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Sequences & Series: Ordered lists of numbers and their sums.
- Convergence: Whether a sequence or series approaches a limit.
- Complex Numbers & Geometrical Representation: Numbers that include real and imaginary components.
- De Moivre's Theorem & Applications: A mathematical theorem used to calculate powers of complex numbers.
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Differential Calculus: Deals with rates of change and slopes of curves.
- Limits & Continuity: The behavior of functions as input values approach a certain value.
- Differentiability: Whether a function has a derivative at a point.
- Mean Value Theorems: Theorems relating to the average value of a function over an interval.
- Taylor's Theorem & Applications: A theorem that provides a polynomial approximation of a function.
- Partial Differentiation: Calculating derivatives of functions with multiple variables.
- Gradient: Vector that points in the direction of the steepest ascent of a function.
- Chain Rule: A rule for differentiating composite functions.
- Second and Higher Order Derivatives: Derivatives of a derivative, used in optimization and analysis.
- Implicit Function Theorem & Applications: A theorem that allows us to express a function implicitly.
- Homogeneous & Homothetic Functions: Functions with specific properties that are useful in economic analysis.
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Integral Calculus: Deals with areas under curves and accumulation.
- Definite Integrals: Integrals with specific upper and lower bounds.
- Fundamental Theorems of Calculus: Theorems that connect differentiation and integration.
- Indefinite Integrals: Integrals without specific limits.
- Applications: Calculating areas, volumes, and other quantities.
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Differential Equations & Difference Equations: Equations that relate a function to its derivative or its difference.
- First Order Difference Equations: Equations involving a function and its first difference.
- First Order Differential Equations: Equations involving a function and its first derivative.
- Applications: Modeling economic phenomena, such as population growth and investment decisions.
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Linear Algebra: Deals with vectors, matrices, and systems of linear equations.
- Matrix Representations & Elementary Operations: Representing systems of equations using matrices.
- Systems of Linear Equations - Properties of Solutions: Solving systems of equations to find solutions.
- Linear Independence & Dependence: Whether vectors can be expressed as linear combinations of other vectors.
- Rank: A measure of the number of linearly independent rows or columns in a matrix.
- Determinants: A value associated with a square matrix.
- Eigenvectors & Eigenvalues: Vectors and scalars that represent the directions and magnitudes.
- Symmetric Matrices & Quadratic Forms: Matrices that are equal to their transpose and associated quadratic functions.
- Definiteness & Semidefiniteness of Quadratic Forms: Properties of quadratic forms related to their concavity or convexity.
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Optimization: Finding the best value of a function, subject to constraints.
- Local & Global Optima: Points where a function reaches its maximum or minimum value.
- Geometric & Calculus-Based Characterizations: Identifying optima using geometric and calculus methods.
- Multivariate Optimization: Optimizing functions with multiple variables.
- Constrained Optimization & Method of Lagrange Multipliers: Finding optima subject to constraints.
- Second Order Condition of Optima: Conditions used to determine whether a critical point is a maximum, minimum, or saddle point.
- Definiteness & Optimality: The relationship between the definiteness of the Hessian matrix and the optimality of a critical point.
- Properties of Value Function: Envelope Theorem & Applications: The value function represents the optimal value of an objective function.
This summary provides a comprehensive overview of the topics covered for the JAM exam. Remember, these study notes are just a starting point: you'll want to dive deeper through textbooks and practice problems to improve your understanding and build your exam skills. Good luck with your preparations!
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