GENERAL ECONOMICS-I
PART A:
1. Theory of Consumer’s Demand: Cardinal utility Analysis; Marginal utility and
demand, Consumer’s surplus, Indifference curve Analysis and utility function,
Price income and substitution effects, Slutsky theorem and derivation of demand
curve, Revealed preference theory. Duality and indirect utility function and
expenditure function, Choice under risk and uncertainty.
2. Theory of Production: Factors of production and production function. Forms
of Production Functions: Cobb-Douglas, CES and Fixed coefficient type, Translog
production function. Laws of return, Returns to scale and Return to factors of
production. Duality and cost function, Measures of productive efficiency of
firms, technical and allocative efficiency. Partial Equilibrium versus General
Equilibrium approach. Equilibrium of the firm and industry.
3. Theory of Value: Pricing under different market structures, public
sector pricing, marginal cost pricing, peak load pricing, cross-subsidy free
pricing and average cost pricing. Marshallian and Walrasian stability analysis.
Pricing with incomplete information and moral hazard problems.
4. Theory of Distribution: Neo classical distribution theories; Marginal
productivity theory of determination of factor prices, Factor shares and adding
up problems. Euler’s theorem, Pricing of factors under imperfect competition,
monopoly and bilateral monopoly. Macro-distribution theories of Ricardo, Marx,
Kaldor, Kalecki.
5. Welfare Economics: Inter-personal comparison and aggregation problem,
Public goods and externality, Divergence between social and private welfare,
compensation principle. Pareto optimality. Social choice and other recent
schools, including Coase and Sen and Game theory.
PART B:
Quantitative Methods in Economics:
1. Mathematical Methods in Economics: Differentiation and Integration and their
application in economics. Optimisation techniques, Sets, Matrices and their
application in economics. Linear algebra and Linear programming in economics
and Input-output model of Leontief.
2. Statistical and Econometric Methods: Measures of central tendency and dispersions, Correlation
and Regression. Time series. Index numbers. Sampling and Survey methods. Testing
of hypothesis, simple non-parametric tests. Drawing of curves based on various
linear and non-linear function. Least square methods and other multivariate
analysis (only concepts and interpretation of results). Analysis of Variance,
Factor analysis, Principle component analysis, Discriminant analysis. Income
distribution: Pareto law of Distribution, lognormal distribution, measurement
of income inequality. Lorenze curve and Gini coefficient.
No comments:
Post a Comment