IIT JAM Economics Coaching 2025

MA Economics Entrance Preparation

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IIT JAM Economics Coaching by EduSure

IIT JAM Economics Coaching

Course Features

24*7 Access on Student Portal

Latest Lectures on the Indian Economy

Unlimited Doubt Clarification Sessions

Access Valid Until June 30th of the Following Year

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IIT JAM Economics Coaching : Classes by EduSure

Econometrics CLRM Basics

Indian Economy - Agriculture Overview

National Income Accounting- Macro Economics

Mathematics - Functions Basic Theory

Micro Economics - Budget Line Basics

Statistics - Central Tendency

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Course Syllabus

Microeconomics

 
Consumer theory: Preference, utility, budget constraint, choice, demand, Slutsky equation, revealed preference axioms.
 
Theory of production and cost: Production technology, isoquants, returns to scale, short run and long run costs, cost curves.
 
 General equilibrium and welfare: Equilibrium, efficiency, welfare economics.
 
Market structure: Perfect competition, monopoly, price discrimination, monopolistic competition, oligopoly.
 
Game theory: Strategic form games, Nash equilibrium, mixed extension, Prisoner’s dilemma. 
 
Public goods and market failure: Externalities, public goods, asymmetric information.

Macroeconomics

 
National income accounting: Concepts, measurements, fiscal and foreign sector variables.
 
Behavioural and technological functions: Consumption functions, investment functions, money demand and supply Business cycles and economic models: Classical model, Keynesian model, IS-LM Model, Hicks’ IS-LM synthesis, monetary and fiscal policies.
 
Inflation and unemployment: Theories, measurement, causes, effects. Growth models: Harrod-Domar, Solow, Neo-classical growth models.
 
Business cycles and economic models (open economy): Open economy, Mundell-Fleming 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
 
 

Statistics

 
Probability theory: Sample space, events, random variables, probability distributions, expectation, variance, functions of random variables.
 
Mathematical statistics: Random sampling, estimation, hypothesis testing, correlation, regression.
 
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.
 
Planning and Indian development: Planning models, challenges. Indian economy after 1991: Balance of payments crisis, economic reforms.
 
Banking, finance, and macroeconomic policies: Banking, financial sector reforms, fiscal and monetary policy, savings and investment.
 
Inequalities in social development: Achievements, disparities between Indian States.
 
Inequalities in social development: India’s achievements in health, education and other social sectors, disparities between Indian States in human development
 
Poverty: Methodology, issues in poverty estimation. 
 
India’s labour market: Unemployment, labour force participation rates.
Mathematics for Economics
 
Preliminaries and functions: Set theory, elementary functions, sequences and series, complex numbers.
 
Differential calculus: Limits, continuity, differentiability, mean value theorems, partial differentiation, higher order derivatives, implicit function theorem.
 
Integral calculus: Definite integrals, fundamental theorems, indefinite integrals.
 
Differential equations, and difference equations: First order difference equations, first order differential equations.
 
Linear algebra: Matrix representations, systems of linear equations, linear independence, determinants, eigenvectors and eigenvalues, symmetric matrices.
 

 Optimization: Local and global optima, multivariate optimization, constrained optimization, linear programming.

Please note that this is a summarized version of the syllabus.

Class Timings

  • Monday to Saturday 7pm onwards 

Job Opportunities

after Masters in Economics

Consultancy Roles

Graduates can work as economic consultants, providing valuable insights to businesses, government agencies, private sector or non-profit organizations.

Data Science and Analysis

With strong analytical skills, economics graduates are well-suited for roles in data science, where they analyze and interpret complex datasets.

Finance and Banking

Opportunities abound in the financial sector, including roles in banking, investment analysis, or financial consulting.

Policy Analysis

Graduates can engage in policy analysis, working with government bodies or policy think tanks to shape and evaluate economic policies.

Academia

Teaching and research positions in universities or colleges offer a fulfilling path for those interested in imparting knowledge and contributing to academic advancements.

Research Positions

Many pursue careers in research, contributing to academic institutions, think tanks, or research organizations.

International Organizations

Organizations like the World Bank, IMF, and UN provides opportunities for economists to work on global economic issues.

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