UNIVERSITY OF SARGODHA

DEPARTMENT OF AGRICULTURAL ECONOMICS

 

COURSE OUTLINE                                                                                      FALL 2020-21

 

Course Title:   ECONOMETRICS-I

Course Code:  AE-401

Credit Hours:  3(2-1)

 

Instructor:       Hanzala Zulfiqar

Email:             [email protected]

 

DESCRIPTION & OBJECTIVES

 

The main goal of this blended learning course is to provide proficiency in practical applications of economics using computers. After completing the course, students will be able in a position to apply the econometric tools and techniques in field of Agricultural Economics.

 

READINGS

 

TEXT BOOKS:

 

  1. Gujrati, D.N. 2009. Essentials of Econometrics, International Edition, Fourth Edition, McGraw-Hill, London.
  2. Wooldridge J.M. 2009. Introductory Econometric: A Modern Approach, 4th edition. South Western College, USA. 

 

REFERANCE MATERIAL:

 

  1. Mirar, T.W. 1990. Economic Statistics and Econometrics, McMillan Publishing Co. New York.
  2. Ramanathan R. Introductory Econometrics with Applications, 1992. 
  3. Butt A.R. 1999. Least Square Estimation of Econometric Models, Islamabad.

 

 

CONTENTS

 

Definition, scope and importance of econometrics; Basic concepts, Properties of statistical estimators; Inferences, and hypothesis testing; Regression analysis, OLS estimation of simple and multiple Regression, Dummy variables; Specification bias and tests; Multicollinearity; Heteroscedasticity, Autocorrelation.

 

 

COURSE SCHEDULE

 

Week

Topics and Readings

1.

Definition Introduction and Scope of Econometrics

“Basic Econometrics” by Gujarati N. D. page no:1-9

2.

Methodology of Econometric Research

“Theory of Econometrics” by Koutsoyiannis A.

page no:11-30

3.

The Nature of Regression Analysis

“Basic Econometrics” by Gujarati N. D. page no: 17-25

4.

The Nature and Source of Data for Economics Analysis

“Basic Econometrics” by Gujarati N. D. page no: 25-31  

5.

Regression Analysis (Basic Concepts)

“Basic Econometrics” by Gujarati N. D. page no: 37-51

6.

Methods of Ordinary Least Squares

“Basic Econometrics” by Gujarati N. D. page no: 58-65

7.

Assumption of linear stochastic regression model,
BLUE properties

“Basic Econometrics” by Gujarati N. D. page no: 65-79

8.

Properties of statistical estimators (least square estimates)

“Basic Econometrics” by Gujarati N. D. page no: 79-87

9.

Classical Normal Linear Regression Model

“Basic Econometrics” by Gujarati N. D. page no: 107-113

10.

Hypothesis testing

“Basic Econometrics” by Gujarati N. D. page no: 126-139

11.

Interval Estimation

“Basic Econometrics” by Gujarati N. D. page no: 119-126

12.

Analysis of Variance and Evaluation of Regression Results

“Basic Econometrics” by Gujarati N. D. page no: 140-150

13.

Problems of Estimation

“Basic Econometrics” by Gujarati N. D. page no: 202-232

14.

Problems of Inference

“Basic Econometrics” by Gujarati N. D. page no: 248-282

15.

Dummy Variables

“Basic Econometrics” by Gujarati N. D. page no: 297-323

16.

Multicollinearity

“Basic Econometrics” by Gujarati N. D. page no: 341-375

17.

Heteroscedasticity

“Basic Econometrics” by Gujarati N. D. page no: 387-428

18.

Autocorrelation

“Basic Econometrics” by Gujarati N. D. page no: 441-490

 

 

 

 

RESEARCH PROJECT/ ASSIGNMENTS

1:      after practical save all outputs in a MS word document and submit this assignment before next class.

 

ASSESSMENT CRITERIA

Sessional:                   08       (Class Attendance:4, Assignments: 4)

Mid Term Test:          12

Final Term Test:         20+20

 

 

RULES AND REGULATIONS

 

1:         The format and due dates of the assignments and midterms will be discussed during the first week of classes. Late assignments will not be accepted.The final exam will be descriptive and practical will be computer based.

2:         80 % class attendance is required to get 2 Marks.

Time Table
Day 8:00-8:50 8:50-9:40 9:40-10:30 10:30-11:20 11:20-12:10 12:10-1:00 2:00-2:50 2:50-3:40
Tuesday           AE-401 (P)
Thursday       AE-401 (T)        
Friday             AE-401 (T)

 

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Course Material