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Guwahati University BA 3rd Semester Economics Answer Assamese Medium | BA 3rd Sem Economics Model CBCS Syllabus Guwahati University GU BA 3rd Semester Economics syllabus As per CBCS System | GU BA 3rd Semester Economics | GU TDC 3rd Sem Economics Suggestion | স্নাতক তৃতীয় সান্মাষিকৰ অৰ্থবিজ্ঞানৰ প্ৰশ্ন উত্তৰ গুৱাহাটী বিশ্ববিদ্য়ালয় | Paper Code: ECO-HC-3016 | Paper Code: ECO-HC-3026 | Paper Code: ECO-HC-3036 | Paper Code: ECO-HG-3016 | Paper Code: ECO-SE-3014 |

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ECO-HC-3016: INTERMEDIATE MICROECONOMICS - I

Course Description

The course is designed to provide a sound training in microeconomic theory to formally analyze the behaviour of individual agents. Since students are already familiar with the quantitative techniques in the previous semesters, mathematical tools are used to facilitate understanding of the basic concepts. This course looks at the behaviour of the consumer and the producer and also covers the behaviour of a competitive firm.&nbsp;

Course Outline

1. Consumer Theory

Preference; utility; budget constraint; choice; demand; Slutsky equation; buying and selling; choice under risk and inter-temporal choice; revealed preference.

2. Production, Costs and Perfect Competition

Technology; isoquants; production with one and more variable inputs; returns to scale; short run and long run costs; cost curves in the short run and long run; review of perfect competition.

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ECO-HC-3026: INTERMEDIATE MACROECONOMICS - I

Course Description

This course introduces the students to formal modeling of a macro-economy in terms of analytical tools. It discusses various alternative theories of output and employment determination in a closed economy in the short run as well as medium run, and the role of policy in this context. It also introduces the students to various theoretical issues related to an openeconomy.

Course Outline

1. Aggregate Demand and Aggregate Supply Curves

Derivation of aggregate demand and aggregate and supply curves; interaction of aggregate demand and supply.

2. Inflation, Unemployment and Expectations

Phillips curve; adaptive and rational expectations; policy ineffectiveness debate.

3. Open Economy Models

Short-run open economy models; Mundell-Fleming model; exchange rate determination; purchasing power parity; asset market approach; Dornbusch's overshooting model; monetary approach to balance of payments; international financial markets.

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ECO-HC-3036: STATISTICAL METHODS FOR ECONOMICS

Course Description

This is a course on statistical methods for economics. It begins with some basic concepts and&nbsp;terminology that are fundamental to statistical analysis and inference. It then develops the notion&nbsp;of probability, followed by probability distributions of discrete and continuous random variables&nbsp;and of joint distributions. This is followed by a discussion on sampling techniques used to collect&nbsp;survey data. The course introduces the notion of sampling distributions that act as a bridge&nbsp;between probability theory and statistical inference. The semester concludes with some topics in&nbsp;statistical inference that include point and interval estimation.&nbsp;

Course Outline

1. Introduction and Overview

The distinction between populations and samples and between population parameters and&nbsp;sample statistics; the use of measures of location and variation to describe and summarizedata; moments – basic concepts and types.&nbsp;

2. Elementary Probability Theory

Sample spaces and events; probability axioms and properties; addition and multiplication theorem&nbsp;of probability, counting techniques; conditional probability and Bayes’ rule; independence of&nbsp;events.&nbsp;

3. Random Variables and Probability Distributions

Defining random variables; probability distributions; expected values of random variables and of&nbsp;functions of random variables; properties of commonly used discrete and continuous distributions&nbsp;(uniform, binomial, poisson and normal random variables).&nbsp;

4. Random Sampling and Jointly Distributed Random Variables

Density and distribution functions for jointly distributed random variables- basic concepts;&nbsp;covariance and correlation coefficients.

5. Sampling

Principal steps in a sample survey; methods of sampling; Sampling techniques- random, stratified&nbsp;random, multi-stage random and systematic random sampling; the role of sampling theory;&nbsp;properties of random samples.&nbsp;

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ECO-HG-3016: Principles of Macroeconomics–I

Course Description

This course introduces students to the basic concepts in Macroeconomics. Macroeconomics&nbsp;deals with the aggregate economy. In this course the students are introduced to the&nbsp;definition, measurement of the macroeconomic variables like GDP, consumption, savings,&nbsp;investment and balance of payments. The course also discusses various theories of&nbsp;determining GDP in the short run.

Course Outline

1. Introduction

What is macroeconomics? Macroeconomic issues in an economy.

2. National Income Accounting

Concepts of Income, Domestic Income and National Income; GDP and NDP at Market&nbsp;Price and Factor Cost, measurement of national income and related aggregates; nominal and&nbsp;real income;&nbsp;

3. Determination of GDP

Actual and potential GDP; aggregate expenditure; consumption function; investment&nbsp;function; equilibrium GDP; concepts of MPS, APS, MPC, APC; autonomous expenditure;&nbsp;Concept of multiplier.

4. National Income Determination with Government Intervention and Foreign&nbsp;Trade

Fiscal Policy: impact of changes in government expenditure and taxes; net exports function;&nbsp;net exports and equilibrium national income.

5. Money in a Modern Economy

Concept of money in a modern economy; monetary aggregates; demand for money;&nbsp;quantity theory of money; liquidity preference and rate of interest; money supply and credit&nbsp;creation; monetary policy.

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ECO-SE-3014: Data Collection and Presentation

Course Description:

This course helps students in understanding use of data, presentation of data using computer&nbsp;softwares like MS-Excel. Students will be involved practically to preparation of&nbsp;questionnaires/interview schedules, collection of both primary and secondary data and its&nbsp;presentation. Students will also be asked to prepare a report on collected data and will be&nbsp;evaluated accordingly.&nbsp;

Course Outline:

1. Use of Data

Use of data in social sciences; types and sources of data; data collection methods. Population&nbsp;census versus sample surveys. Random sampling.

2. Questionnaires and Schedules

Meaning; how to prepare a questionnaire and interview schedule; use of questionnaire and&nbsp;interview schedule for data collection.

3. Presentation of Data

Data presentation in tabular formats; use of diagrams for data presentation; creating charts&nbsp;and diagrams in MS-Excel – bar, line, pie, scatter, radar, bubble diagrams, population&nbsp;pyramids.

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