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Econometrics-I [1]

Paper Code: 
25GECO304
Credits: 
04
Periods/week: 
04
Max. Marks: 
100.00
Objective: 

The course will enable the students to

1.   To acquaint the  students with the  statistical concepts used in econometrics.

2.   To estimate and  interpret the  simple  and  multiple  linear  regression models.

3.   To acquaint the  students with the  estimation and  use  of various functional forms.

 

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course

Code

Course

Title

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

25GECO

304

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Econometrics- I

(Theory)

CO181. Analyse  the fundamentals of econometrics and important statistical concepts.

 

CO182. Analyse  simple regression estimation and interpretation.

 

 

CO183. Apply

hypothesis testing in case of simple  regression.

 

CO184. Analyse  the problems related with different functional forms and  their  estimation.

 

CO185. Estimate and interpret the  results of multiple  regression

 

CO186. Contribute effectively in course- specific  interaction.

Approach in teaching: Interactive Lectures, Discussion, Case  studies.

 

 

Learning activities for the students: Presentations, Assignments and Group  discussions.

Class activity, Assignments and  Semester end examinations.

 

12.00
Unit I: 

Nature of Econometrics and Statistical Concepts periods  

  1. Nature, scope and  methodology of econometrics, types  of econometrics
  2. Statistical concepts- Normal distribution; chi-square, t- and  F-distributions; estimation of parameters; properties of estimators; testing of hypotheses: defining  statistical hypotheses, confidence interval  and  test  of significance approaches, Type I and  Type II errors; power  of a test. Time series, cross- section, pooled  and  panel  data

 

12.00
Unit II: 

Simple Linear Regression Model: Two Variable Case-I   

  1. Nature of regression analysis - PRF and  SRF
  2. Assumptions of Classical Linear Regression Model
  3. Significance of the  stochastic disturbance term
  4. Estimation of model  by method of ordinary least  squares
  5. Reporting and  interpretation of regression results
  6. Properties of least  square estimators, Gauss-Markov theorem

 

12.00
Unit III: 

Simple Linear Regression Model: Two Variable Case-II 

  1. Goodness of fit- R2 and  adjusted R 2
  2. Tests  of hypotheses
  3. Scaling and  units  of measurement
  4. Confidence intervals
  5. Chow Test; Prediction

 

12.00
Unit IV: 

Functional forms of regression models 

  1. Log-linear model
  2. Semilog  models – lin-log model  and  log-lin model
  3. Reciprocal  models
  4. Logarithmic reciprocal model
  5. Choice of functional form
  6. Regression through origin

 

12.00
Unit V: 

Multiple Linear Regression Model

  1. Estimation of parameters
  2. Properties of OLS estimators
  3. Partial  regression coefficients
  4. Goodness of fit - R2 and  adjusted R 2
  5. Testing  hypotheses – individual  and  joint

 

ESSENTIAL READINGS: 

1.   Gujarati, D. N. and  Porter, D.C., Essentials of Econometrics, McGraw

Hill, International Edition.  4th  Edition, 2010.

2.   Dougherty, C., Introduction to Econometrics, Oxford University  Press,

5th  Edition,  2016.

3.     Koutsoyiannis, A., Theory  of Econometrics, Palgrave Macmillan,

2nd  Edition,  2001.

 

REFERENCES: 

SUGGESTED READINGS:

1.   Smith,  A. and  Taylor,  J. E., Essentials of Applied Econometrics, University  of California Press, 2017.

2. Kmenta, J., Elements of Econometrics, Indian Reprint, Khosla PublishingHouse,  2nd  Edition,  2018.

e- Resources:

1.   Econometrics Academy--------sites.google.com/site/econometricsacademy

2.   MIT Open  Courseware---------ocw.mit.edu

3.   Econometrics: Methods and  Applications-Coursera-------coursera.org

4.   Crunch  Econometrics----------cruncheconometrix.com

5.   Explaining  the  Core Theories of Econometrics------udemy.com

Journals:

1.   The Journal of Econometrics

2.   Academic.oup.com/ectj

3.   Journal of Applied Econometrics

4.   Onlinelibrary.wiley.com/journal/18735924

 

Academic Year: 
2025-26 [2]

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Source URL: https://www.csit.iisuniv.ac.in/courses/subjects/econometrics-i-1

Links:
[1] https://www.csit.iisuniv.ac.in/courses/subjects/econometrics-i-1
[2] https://www.csit.iisuniv.ac.in/academic-year/2025-26