ECONOMETRICS - Professional Training Courses in …3deducators.com/Coursecontents/Pdf//Eonometrics[BRO… · · 2014-08-23Objective of the course is to disseminate the knowledge

Objective of the course is to disseminate the knowledge about basic econometrics with practical examples in EViews. Prerequisite for this course is basic course in Statistics, micro & Macro economics.

ECONOMETRICS

Certification Program

Program is offered by: 3D Educators – Trainers & Consultants

This Program is ideally suited to following

individuals who are:

Fresh University Graduates and like to get

the knowledge of Basic Econometrics

People who are working in the economic

sector, Statistical Sector, forex, Stock and

Banking Sector.

Who want to be good and reputable jobs in

the market and are like to enhance their

skills in econometric sector.

Page # 2 Suite # 7, Nobel Heights, Opposite Sales Tax House, KDA Scheme # 7, Main University Road – Karachi, 0333-2402474,

0322-2083032, 9221-34141329, 9221-34857148, , [email protected], http://www.3deducators.com

Detail

Inauguration

Structure

Topics & Time Allocation

About the Program Designer & Instructor

Syllabus

Table of Contents



Inauguration

The Training Program will be inaugurated by a senior member of 3DEducators Program Structure

Number of classes in a week

Two Class Per Week

Duration of each class

2-Hour

Total Duration

32 Hours

Other Learning Activities:

Classroom Assignments

2

Presentations by Trainees

1

About the Program Designer & Instructor

The “Econometrics” Program has been designed and will be conducted by PhD researchers and having the vast experience of training and consulting. He has worked with various large Government, National, and Multinational organizations in local and abroad.

The Trainers who are conducting this program are have on the position of the following:

Senior Executive Vice President

They trainers are foreign qualified and having the degree of PhD from accredited university, and having the vast experience in the econometrics.

As Consultant & Senior Trainers the team of trainers having the vast experience from econometrics side! we 3D Educators – Trainers & Consultants would not compromise on the faculty.

Program Details



COURSE OUTLINE:

Course Objective: Objective of the course is to disseminate the knowledge about basic econometrics with practical examples in EViews. Prerequisite for this course is basic course in Statistics, micro & Macro economics Course Outline:

Introduction o What is econometrics? o The stages of applied econometric work

Part I Statistical Background and Basic Data Handling

The Structure of Economic Data o Cross-sectional data o Time series data o Panel data

Working with Data: Basic Data Handling o Looking at raw data o Graphical analysis

Graphs in EViews o Summary statistics

Summary statistics in EViews o Components of a time series o Indices and base dates

Splicing two indices and changing the base date of an index o Data transformations

Changing the frequency of time series data Nominal verses real data Logs Differencing Growth rates

Part II The Classical Linear Regression Model

Simple Regression o Introduction to regression: the classical linear regression model (CLRM)

Why do we do regressions? The classical linear regression model

o The ordinary least squares (OLS) method of estimation

Alternative expressions for ˆ

o The assumptions of the CLRM General The assumptions Violations of the assumptions

o The assumptions of the OLS estmators

Program Syllabus



Linearity Unbiasedness Consistency Efficiency and BLUEness

o The overall goodness of fit

Problems associated with 2R

o Hypothesis testing and confidence intervals Testing the significance of the OLS coefficients Confidence intervals

o How to estimate a single regression in EViews Simple regression in EViews Reading the EViews simple regression results output

o Presentation on regression results o Applications

Application 1: the demand function Application 2: a production function Application 3: Okun’s Law Application 4: the Keynesian consumption function

o Computer example: the Keynesian consumption function Solution

o Questions and exercises

Multiple Regression o Derivation of the multiple regression coefficients

The three-variable model The k-variable case Derivation of the coefficients with matrix algebra

The structure of the XX and YX matrices The assumptions of the multiple regression model The variance-covariance matrix of the residuals

o Properties of the multiple regression model OLS estimators Linearity Unbiasedness Consistency Efficiency and BLUEness

o 2R and adjusted

2R o General criteria for model selection o Multiple regression estimation in EViews

Simple regression in EViews Reading the EViews simple regression results output

o Hypothesis testing Testing individual coefficients Testing linear restrictions

o The Wald test How to perform the Wald test in EViews

o The 2

test

The 2

test in EViews

o The t test

o Testing the joint significance of the Xs F-test for overall significance in EViews

o Adding or deleting explanatory variables Omitted and redundant variables test in EViews

o Computer example: Wald, omitted and redundant variable tests



A Wald test of coefficient restrictions A redundant variable test An Omitted variable test

o Questions and exercises o

Part III Violating the Assumptions of the CLRM

Multicollinearity o Perfect multicollinearity o Consequences of perfect multicollinearity o Imperfect multicollinearity o Consequences of imperfect multicollinearity o Detecting problematic multicollinearity

Simple correlation coefficient

2R from auxiliary regressions

o Computer examples Example 1: induced multicollinearity Example 2: with the use of real economic data

o Question and exercises

Heteroskedasiticity o Introduction: what is heteroskedasiticity? o Consequences of heteroskedasiticity on OLS estimators

A general approach A mathematical approach

o Detecting heteroskedasiticity The formal way The Breusch-Pagan LM test The Glesjer LM test The Harvey-Godfrey LM test The Park LM test The Goldfeld-Quandt test White’s test

o Computer example: heteroskedasiticity tests The Breusch-Pagan LM test The Glesjer LM test The Harvey-Godfrey LM test The Park LM test The Goldfeld-Quandt test White’s test

o Resolving heteroskedasiticity Generalized (or weighted) least squares

o Computer example: resolving heteroskedasiticity o Questions and exercises

Autocorrelation o Introduction: what is autocorrelation? o What causes autocorrelation o First and higher order autocorrelation o Consequences of autocorrelation on the OLS estimators

A general approach A more mathematical approach

o Detecting autocorrelation The graphical methods Example: detecting autocorrelation using the graphical method



The Durbin-Waston test Computer example of the DW test The Breush-Godfrey LM test for serial correlation Computer example of the Breush-Godfrey LM test Durbin’s h test in the presence of lagged dependent variables Computer example of the Durbin’s h test Engle’s ARCH test Computer example of the Engle’s ARCH test

o Resolving autocorrelation When is known

Computer example of the generalized differencing approach When is unknown

Computer example of the iterative procedure o Questions and exercises

Misspecification: Wrong Regressors, Measurement Errors and Wrong Functional Forms

o Omitting influential or including non-influential explanatory variables o Various functional forms o Measurement errors o Test for misspecification o Example: the Box-Cox transformation in EViews o Approaches in choosing an appropriate model o Exercises



Part IV Violating the Assumptions of the CLRM

Dummy Variables o Introduction: the nature of qualitative information o The use of Dummy variables o Computer example of the use of dummy variables o Special cases of the use of Dummy variables o Computer example of dummy variables with multiple categories o Application: the January effect in emerging stock-markets o Test for structural stability o Questions and exercises

Dynamic Econometric Models o Distributed lag models o Autoregressive models o Exercises

Simultaneous Equation Models o Introduction: basic definitions o Consequences of ignoring simultaneity o The identification problem o Estimation of simultaneous equation models o Example: the IS-LM model



TERMS & CONDITIONS

WITHDRAWAL FROM THE CERTIFICATION

Students are not allowed to withdraw from the CERTIFICATION. If a student cannot continue the CERTIFICATION his/her fee will be forfeited.

CONDUCT AND DISCIPLINE

A disciplinary action, leading to rustication, will be taken against students whose conduct is found objectionable at any time during the course of study. Reference will be made to 3D Educators code of conduct.

EVALUATION AND GRADING

The performance of students is evaluated through continuous observation of a student’s performance in the CERTIFICATION – class participation, submission of assignments, quizzes and exercises.

The student will be examined through three hourly exams conducted at the midterm and a final exam at the end of the program. Total marks for passing the CERTIFICATION will be 60 out of a total of 100.

Students who do not meet the attendance or any other eligibility criteria will not be allowed to appear in the final examination.

The following grading plan will be applicable for the CERTIFICATION:

A 87 - 100

B+ 81 -86

B 72 - 80

C+ 66 - 71

C 60 - 65

F below 60



Students who are unable to appear for the final exam are required to submit a written application stating the reason for not appearing for the exam. 3D Educators reserves the right to approve or deny such applications. If approved, the student will be allowed to sit for the exam within one month. Failure to do so, the student will be resubmit the examination fee and sit the future schedule exam. Without passing of the exams no certification will be awarded.



ONLINE LIVE CLASSES FACILITY AVAILABLE

Instructor Led Training

Real Time Presentations

Interactive Classes

Complete Notes and Other Stuff shall be provided through our Secure

Student Login Member’s Area

For Online Live Classes, you may please download the Admission Form

through our website http://www.3deducators.com. Fill it properly and

attached the required document along with Picture and send back to

[email protected] with scanned fee submitted voucher in the bank.

For Pakistan you may submit the fee at any MCB Branch with the title of

“3D EDUCATORS-TRAINERS & CONSULTANTS”.

If you are outside Pakistan then you may transfer via Bank to Bank or any

western union, Fast Track, Money Gram or else International Transfer

Body.

After Admission, if you don’t have GMAIL Account then you are requested

to kindly make one GMAIL Account and shared it [email protected].

Then further correspondence shall be made by our institute official.

Extra Bandwidth Charges shall be incurred.

If you are outside country or city then extra courier charges shall be

incurred for Certificate.

PRECAUTIONARY MEASURES

During Classes, you are requested to make sure that you are in isolated room, where no noise should be there except your voice.

Kindly Switch Off your Cell Phone during the class, because it will disturb the quorum of class.

If you have taken the admission in the course online, ethically it is recommended and suggested that you only avail this facility.

Recording of Lectures are not allowed at your end.

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This world is emerging and growing in the 21st Century very rapidly because of latest and remarkable technologies and its advancement. Due to advancement of technology, we 3D EDUCATORS offer Live Interactive class sessions.

3D EDUCATORS believe on Information Technology and its systems. Now you can also avail this facility at your home.

DISTANCE NOT MATTER

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from anywhere of the world.

CONTACT US:

9221-34141329

9221-34857148

0333-2402474

0322-2083032

[email protected]

http://www.3deducators.com

(Get the Admission Form)

Admission Form

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http://www.3deducators.com/memberships/admissionform/StudentAdmissionForms.pdf

Documents

ECONOMETRICS - Professional Training Courses in …3deducators.com/Coursecontents/Pdf//Eonometrics[BRO… · · 2014-08-23Objective of the course is to disseminate the knowledge