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Guwahati University BA 4th Semester Economics Answer Assamese Medium | BA 4th Sem Economics Model CBCS Syllabus Guwahati University GU BA 4th Semester Economics syllabus As per CBCS System | GU BA 4th Semester Economics | GU TDC 4th Sem Economics Suggestion | স্নাতক চতুৰ্থ সান্মাষিকৰ অৰ্থবিজ্ঞানৰ প্ৰশ্ন উত্তৰ গুৱাহাটী বিশ্ববিদ্য়ালয় | Paper Code: ECO-HC-4016 | Paper Code: ECO-HC-4026 | Paper Code: ECO-HC-4026 | Paper Code: ECO-HG-4016 | Paper Code: ECO-SE-4014 |

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ECO-HC-4016: INTERMEDIATE MICROECONOMICS - II

Course Description

This course is a sequel to Intermediate Microeconomics I. The emphasis will be on&nbsp;giving conceptual clarity to the student coupled with the use of mathematical tools and&nbsp;reasoning. It covers general equilibrium and welfare, imperfect markets and topics under&nbsp;information economics. Paper Code:&nbsp;

Unit 1: General Equilibrium, Efficiency and Welfare

a) Exchange Economy, Consumption Allocation and Pareto Optimality; Edgeworth Box and&nbsp;Contract Curve; Equilibrium and Efficiency under Pure Exchange.

b) Pareto Efficiency with production: Concepts of PPF, Social Indifference Curves and&nbsp;Resource Allocation.

c) Perfect Competition, Pareto Efficiency and Market Failure (Externalities and Public&nbsp;Goods), Property Right and Coase Theorem.&nbsp;

Unit 2: Market Structure and Game Theory

a) Monopoly, Pricing with Market Power; Degree of Monopoly, Price Discrimination-Different Degrees; Multi-plant Monopoly, Peak-Load Pricing.

b) Monopolistic competition; Product Differentiation; Perceived and Proportionate Demand&nbsp;Curves; Price-Output Determination.

c) Oligopoly and Game Theory (Two Person Zero Sum Game, Basic ideas and examples of&nbsp;non zero sum games, Prisoner’s Dilemma), Applications of Game Theory in Oligopolistic&nbsp;Markets (Cournot Equilibrium, Bertrand Equilibrium, Stackleberg Equilibrium).&nbsp;

Unit 3: Markets with Asymmetric Information&nbsp;

Information Asymmetry, Adverse Selection, Moral Hazard, Signaling and Screening.

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ECO-HC-4026: INTERMEDIATE MACROECONOMICS - II

Course Description

This course is a sequel to Intermediate Macroeconomics I. In this course, the students are&nbsp;introduced to the long run dynamic issues like growth and technical progress. It also&nbsp;provides the micro-foundations to the various aggregative concepts used in the previous&nbsp;course.

Course Outline

1. Economic Growth

Harrod-Domar model; Solow model; golden rule; technological progress and elements&nbsp;of endogenousgrowth.

2. Microeconomic Foundations

a. Consumption: Keynesian consumption function; Fisher‘s theory of optimal&nbsp;intertemporal choice; life-cycle and permanent income hypotheses; rational&nbsp;expectations and random-walk of consumptionexpenditure.

b. Investment: determinants of business fixed investment; residential investment and&nbsp;inventoryinvestment.

c. Demand formoney.

3. Fiscal and Monetary Policy

Active or passive; monetary policy objectives and targets; rules versus discretion: time&nbsp;consistency; the government budget constraint; government debt and Ricardian&nbsp;equivalence.

4. Schools of Macroeconomic Thoughts

Classicals; Keynesians; New-Classicals and New-Keynesians.

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ECO-HC-4026: INTRODUCTORY ECONOMETRICS

Course Description

This course provides a comprehensive introduction to basic econometric concepts and&nbsp;techniques. It covers statistical concepts of hypothesis testing, estimation and diagnostic&nbsp;testing of simple and multiple regression models. The course also covers the&nbsp;consequences of and tests for misspecification of regressionmodels.

Course Outline

1. Statistical Background

Normal distribution; chi-sq, t- and F-distributions; estimation of parameters;&nbsp;properties of estimators; testing of hypotheses: defining statistical hypotheses;distributions of test statistics; testing hypotheses related to population parameters; Type I&nbsp;and Type II errors; power of a test; tests for comparing parameters from two samples.

2. Simple Linear Regression Model: Two Variable Case

Estimation of model by method of ordinary least squares; properties of estimators; Gauss-Markov theorem; goodness of fit; tests of hypotheses; scaling and units of measurement;&nbsp;confidence intervals; forecasting.

3. Multiple Linear Regression Model

Estimation of parameters; properties of OLS estimators; goodness of fit - R2and&nbsp;adjusted R2; partial regression coefficients; testing hypotheses – individual and joint;&nbsp;functional forms of regression models; qualitative (dummy) independent variables.

4. Violations of Classical Assumptions: Consequences, Detection and Remedies

Multicollinearity; heteroscedasticity; serial correlation.

5. Specification Analysis

Omission of a relevant variable; inclusion of irrelevant variable; tests of specification&nbsp;errors.

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ECO-HG-4016: Principles of Macroeconomics–II

Course Description

This is a sequel to Principles of Macroeconomics–I. It analyses various theories of&nbsp;determination of National Income in greater detail. It also introduces students to concept of&nbsp;inflation, its relationship with unemployment and some basic concepts in an open economy.

Course Outline

1. IS-LM Analysis

Derivations of the IS and LM functions; IS-LM and aggregate demand; shifts in the&nbsp;AD curve.

2. GDP and Price Level in Short Run and Long Run

Aggregate demand and aggregate supply; multiplier Analysis with AD curve and&nbsp;changes in price levels; aggregate supply in the SR and LR.

3. Inflation and Unemployment

Concept of inflation; determinants of inflation; relationship between inflation and&nbsp;unemployment: Phillips Curve in short run and long run.

4. Balance of Payments and Exchange Rate

Balance of payments: current account and capital account; market for foreign&nbsp;exchange; determination of exchange rate.

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ECO-SE-4014: Data Analysis

Course Description:

This course discusses how data can be summarized and analysed for drawing statistical&nbsp;inferences. The students will be introduced to important data sources that are available and will&nbsp;also be trained in the use of statistical softwares like SPSS/PSPP to analyse data.

Course Outline:

1. Data entry in softwares like MS-Excel, SPSS/PSPP

2. Univariate frequency distributions. Measures of central tendency: mean, median and&nbsp;mode; arithmetic, geometric and harmonic mean. Measures of dispersion: range, mean&nbsp;deviation and standard deviation, skewness and kurtosis.

3. Bivariate frequency distribution. Correlation and regression. Rank correlation.

4. Estimation of population parameters from sample data. Unbiased estimators for&nbsp;population mean and variance.

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