The IIT JAM (Joint Admission Test for Masters) in Economics is a national-level entrance exam conducted by the Indian Institutes of Technology (IITs) for students seeking admission to postgraduate programs in economics across premier institutes in India. Designed to test a candidate's knowledge in microeconomics, macroeconomics, statistics, and mathematics, the exam opens pathways to top-tier master's programs in economics at IITs and other participating institutes.
With a focus on both theoretical concepts and quantitative skills, IIT JAM Economics offers an excellent opportunity for students aspiring to build strong academic and research careers in economics. The rigorous nature of the exam ensures that successful candidates are well-prepared to tackle advanced economic theories and empirical analysis in their further studies.
IIT JAM Economics 2025 will be conducted by Indian Institute of Technology Delhi (IIT-D).
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IIT JAM Economics Syllabus
Here are the important dates or timeline for GATE Economics 2025 Entrance Exam:
Microeconomics
Consumer theory
Preference, utility and representation theorem, budget constraint, choice, demand (ordinary and compensated), Slutsky equation, revealed preference axioms
Theory of production and cost
Production technology, isoquants, production function with one and more inputs, returns to scale, short run and long run costs, cost curves in the short run and long run
General equilibrium and welfare
Equilibrium and efficiency under pure exchange and production, welfare economics, theorems of welfare economics
Market structure
Perfect competition, monopoly, pricing with market power, price discrimination (first, second and third), monopolistic competition and oligopoly
Game theory
Strategic form games, iterated elimination of dominated strategies, Nash equilibrium, mixed extension and mixed strategy Nash equilibrium, examples: Cournot, Bertrand duopolies, Prisoner's dilemma
Public goods and market failure
Externalities, public goods and markets with asymmetric information (adverse selection and moral hazard)
Macroeconomics
National income accounting
Structure, key concepts, measurements, and circular flow of income - for closed and open economy, money, fiscal and foreign sector variables - concepts and measurements
Behavioural and technological functions
Consumption functions - absolute income hypothesis, life-cycle and permanent income hypothesis, random walk model of consumption, investment functions - Keynesian, money demand and supply functions, production function
Business cycles and economic models (closed economy)
Business cycles-facts and features, the Classical model of the business cycle, the Keynesian model of the business cycle, simple Keynesian cross model of income and employment determination and the multiplier (in a closed economy), IS-LM Model, Hicks' IS-LM synthesis, role of monetary and fiscal policies
Business cycles and economic models (open economy)
Open economy, MundellFleming model, Keynesian flexible price (aggregate demand and aggregate supply) model, role of monetary and fiscal policies
Inflation and unemployment
Inflation - theories, measurement, causes, and effects, unemployment - types, measurement, causes, and effects
Growth models
Harrod-Domar, Solow and Neo-classical growth models (AK model, Romer model and Schumpeterian growth model)
Statistics For Economics
Probability theory
Sample space and events, axioms of probability and their properties, conditional probability and Bayes’ rule, independent events, random variables and probability distributions, expectation, variance and higher order moments, functions of random variables, properties of commonly used discrete and continuous distributions, density and distribution functions for jointly distributed random variables, mean and variance of jointly distributed random variables, covariance and correlation coefficients.
Mathematical statistics
Random sampling, types of sampling, point and interval estimation, estimation of population parameters using methods of moments and maximum likelihood procedures, properties of estimators, sampling distribution, confidence intervals, central limit theorem, law of large number
Hypothesis testing
Distributions of test statistics, testing hypotheses related to population parameters, Type I and Type II errors, the power of a test, tests for comparing parameters from two samples
Correlation and regression
Correlation and types of correlation, the nature of regression analysis, method of Ordinary Least Squares (OLS), CLRM assumptions, properties of OLS, goodness of fit, variance and covariance of OLS estimator
Indian Economy
Indian economy before 1950
Transfer of tribute, deindustrialization of India
Planning and Indian development: Planning models, relation between agricultural and industrial growth, challenges faced by Indian planning
Indian economy after 1991
Balance of payments crisis in 1991, major aspects of economic reforms in India after 1991, reforms in trade and foreign investment
Banking, finance and macroeconomic policies
Aspects of banking in India, CRR and SLR, financial sector reforms in India, fiscal and monetary policy, savings and investment rates in India
Inequalities in social development
India’s achievements in health, education and other social sectors, disparities between Indian States in human development
Poverty
Methodology of poverty estimation, Issues in poverty estimation in India
India’s labour market
Unemployment, labour force participation rates
Mathematics for Economics
Preliminaries and functions:
Set theory and number theory, elementary functions: quadratic, polynomial, power, exponential, logarithmic, functions of several variables, graphs and level curves, convex set, concavity and quasiconcavity of function, convexity and quasi-convexity of functions, sequences and series: convergence, algebraic properties and applications, complex numbers and its geometrical representation, De Moivre’s theorem and its application.
Differential calculus
Limits, continuity and differentiability, mean value theorems, Taylor’s theorem, partial differentiation, gradient, chain rule, second and higher order derivatives: properties and applications, implicit function theorem, and application to comparative statics problems, homogeneous and homothetic functions: characterisations and applications
Integral calculus
Definite integrals, fundamental theorems, indefinite integrals and applications
Differential equations, and difference equations
First order difference equations, first order differential equations and applications
Linear algebra
Matrix representations and elementary operations, systems of linear equations: properties of their solution, linear independence and dependence, rank, determinants, eigenvectors and eigenvalues of square matrices, symmetric matrices and quadratic forms, definiteness and semidefiniteness of quadratic forms
Optimization
Local and global optima: geometric and calculus-based characterisations, and applications, multivariate optimization, constrained optimization and method of Lagrange multiplier, second order condition of optima, definiteness and optimality, properties of value function: envelope theorem and applications, linear programming: graphical solution, matrix formulation, duality, economic interpretation.
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