2012 Himayatullah 1 Basic Econometrics Course Instructor Prof. Dr. Himayatullah Khan.

Slides:



Advertisements
Similar presentations
6-1 Introduction To Empirical Models 6-1 Introduction To Empirical Models.
Advertisements

20 Prepared by: Fernando Quijano and Yvonn Quijano © 2004 Prentice Hall Business PublishingPrinciples of Economics, 7/eKarl Case, Ray Fair Aggregate Expenditure.
Introduction to Macroeconomics
LINEAR REGRESSION MODEL
Building and Testing a Theory Steps Decide on what it is you want to explain or predict. 2. Identify the variables that you believe are important.
Functions of Statistics
1.1 What is Econometrics? A set of techniques for measuring economic relationships. 1.What is an economic relationship? It is a relationship among economic.
Linear Regression.
1 ST DAY OF CLASS 1 ECONOMIC STATISTICS 1st Semester 2013/2014 INTERNATIONAL BUSINESS AND DEVELOPMENT 0. PPT day
CHAPTER 1 ECONOMETRICS x x x x x Econometrics Tools of: Economic theory Mathematics Statistical inference applied to Analysis of economic data.
SIMPLE LINEAR REGRESSION
Introduction: What is Econometrics?
Biostatistics Frank H. Osborne, Ph. D. Professor.
Chapter 2 – Tools of Positive Analysis
PENGERTIAN EKONOMETRIKA Al muizzuddin fazaalloh. WHAT IS ECONOMETRICS? Literally interpreted, econometrics means “economic measurement.” Econometrics,
Econometrics I Summer 2011/2012 Course Guarantor: prof. Ing. Zlata Sojková, CSc., Lecturer: Ing. Martina Hanová, PhD.

Econometrics 1. Lecture 1 Syllabus Introduction of Econometrics: Why we study econometrics? 2.
Chapter # 0: Introduction Dept of Economics: Kuwait University
EE325 Introductory Econometrics1 Welcome to EE325 Introductory Econometrics Introduction Why study Econometrics? What is Econometrics? Methodology of Econometrics.
Role of Statistics in Geography
Copyright © 2008 Pearson Addison-Wesley. All rights reserved. Chapter 2 How Economists Work.
FINANCIAL ECONOMETRIC Financial econometrics is the econometrics of financial markets Econometrics is a mixture of economics, mathematics and statistics.
Basic Business Statistics
Y X 0 X and Y are not perfectly correlated. However, there is on average a positive relationship between Y and X X1X1 X2X2.
Part 2: Model and Inference 2-1/49 Regression Models Professor William Greene Stern School of Business IOMS Department Department of Economics.
LECTURE 1 - SCOPE, OBJECTIVES AND METHODS OF DISCIPLINE "ECONOMETRICS"
 Discovery process  Step 1 – Make Observation - Qualitative: non-numerical - Quantitative: numerical.
Copyright © 2006 The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Basic Ideas of Linear Regression: The Two- Variable Model chapter.
ECONOMETRICS Chapter # 1: Introduction Domodar N. Gujarati
MARKET APPRAISAL. Steps in Market Appraisal Situational Analysis and Specification of Objectives Collection of Secondary Information Conduct of Market.
Dr. C. Ertuna1 Required Textbook “Econometrics: By Example " Gujarati Palgrave-Macmillian 2011.
Data I.
EED 401: ECONOMETRICS COURSE OUTLINE
Lecturer: Ing. Martina Hanová, PhD. Business Modeling.
Lecture 1 Introduction to econometrics
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 1 Introduction to Research in Communication Research: –Process of asking questions.
1.1 NVM ECONOMETRICS by N V M Rao BIRLA INSTITUTE OF TECHNOLOGY & SCIENCE, PILANI RAJASTHAN 2013.
1/25 Introduction to Econometrics. 2/25 Econometrics Econometrics – „economic measurement“ „May be defined as the quantitative analysis of actual economic.
Lecturer: Ing. Martina Hanová, PhD. Business Modeling.
METHODOLOGY OF ECONOMETRICS Broadly speaking, traditional econometric methodology proceeds along the following lines:Broadly speaking, traditional econometric.
1 Financial Econometrics  A new branch of econometrics  An application of econometrics in the field of finance/financial economics  An indispensable.
ECF 230: Introduction to Econometrics
Degree of Business Administration and Management
QMT 3033 ECONOMETRICS QMT 3033 ECONOMETRIC.
Chapter 2: Measurements and Calculations
Chapter 2: TWO-VARIABLE REGRESSION ANALYSIS: Some basic Ideas
Chapter 1: Introduction to Econometrics
Regression Analysis Chapters 1-2
A Basic Model of the Determination of GDP in the Short Term Chapter 16
Lecture 1 Basic Econometrics Rifai Afin SE, MSc.
Business Modeling Lecturer: Ing. Martina Hanová, PhD.
PENGENALAN EKONOMETRIKA
Introductory Econometrics
Introduction to Econometrics
The Simple Linear Regression Model: Specification and Estimation
Chapter 2: Steps of Econometric Analysis
An Introduction to Econometrics
SIMPLE LINEAR REGRESSION
Statistical Data Analysis
Econometrics Analysis
SIMPLE LINEAR REGRESSION
5 points piece Homework Check
Simple Linear Regression
Financial Econometrics Fin. 505
Chapter 2: Steps of Econometric Analysis
Financial Econometrics Fin. 505
What does the word Hypothesis mean?
MGSE7.SP.3/MGSE7.SP.4: I can use measure of center and measures of variability for numerical data from random samples to draw informal comparative inferences.
Introduction to Regression
Presentation transcript:

2012 Himayatullah 1 Basic Econometrics Course Instructor Prof. Dr. Himayatullah Khan

Prof. Himayatullah 2 Basic Econometrics Introduction: What is Econometrics?

Prof. Himayatullah 3 Introduction What is Econometrics? Definition 1: Economic Measurement Definition 2: Application of the mathematical statistics to economic data in order to lend empirical support to the economic mathematical models and obtain numerical results ( Gerhard Tintner, 1968 )

Prof. Himayatullah 4 Introduction What is Econometrics? Definition 3: The quantitative analysis of actual economic phenomena based on concurrent development of theory and observation, related by appropriate methods of inference ( P.A.Samuelson, T.C.Koopmans and J.R.N.Stone, 1954 )

May 2004 Prof. Himayatullah 5 Introduction What is Econometrics? Definition 4: The social science which applies economics, mathematics and statistical inference to the analysis of economic phenomena ( By Arthur S. Goldberger, 1964 ) Definition 5: The empirical determination of economic laws ( By H. Theil, 1971 )

May 2004 Prof. Himayatullah 6 Introduction What is Econometrics? Definition 6: A conjunction of economic theory and actual measurements, using the theory and technique of statistical inference as a bridge pier ( By T.Haavelmo, 1944 ) And the others

May 2004 Prof. Himayatullah 7 Econometrics Economic Theory Mathematical Economics Economic Statistics Mathematic Statistics

May 2004 Prof. Himayatullah 8 Introduction Why a separate discipline? Economic theory makes statements that are mostly qualitative in nature, while econometrics gives empirical content to most economic theory Mathematical economics is to express economic theory in mathematical form without empirical verification of the theory, while econometrics is mainly interested in the later

May 2004 Prof. Himayatullah 9 Introduction Why a separate discipline? Economic Statistics is mainly concerned with collecting, processing and presenting economic data. It does not being concerned with using the collected data to test economic theories Mathematical statistics provides many of tools for economic studies, but econometrics supplies the later with many special methods of quantitative analysis based on economic data

May 2004 Prof. Himayatullah 10 Econometrics Economic Theory Mathematical Economics Economic Statistics Mathematic Statistics

May 2004 Prof. Himayatullah 11 Introduction Methodology of Econometrics (1) Statement of theory or hypothesis: Keynes stated: ”Consumption increases as income increases, but not as much as the increase in income”. It means that “The marginal propensity to consume (MPC) for a unit change in income is grater than zero but less than unit”

May 2004 Prof. Himayatullah 12 Introduction Methodology of Econometrics (2) Specification of the mathematical model of the theory Y = ß 1 + ß 2 X ; 0 < ß 2 < 1 Y= consumption expenditure X= income ß 1 and ß 2 are parameters; ß 1 is intercept, and ß 2 is slope coefficients

May 2004 Prof. Himayatullah 13 Introduction Methodology of Econometrics (3) Specification of the econometric model of the theory Y = ß 1 + ß 2 X + u ; 0 < ß 2 < 1; Y = consumption expenditure; X = income; ß 1 and ß 2 are parameters; ß 1 is intercept and ß 2 is slope coefficients; u is disturbance term or error term. It is a random or stochastic variable

May 2004 Prof. Himayatullah 14 Introduction Methodology of Econometrics (4) Obtaining Data (See Table 1.1, page 6) Y= Personal consumption expenditure X= Gross Domestic Product all in Billion US Dollars

May 2004 Prof. Himayatullah 15 Introduction Methodology of Econometrics (4) Obtaining Data YearXY

May 2004 Prof. Himayatullah 16 Introduction Methodology of Econometrics (5) Estimating the Econometric Model Y^ = X (1.3.3) MPC was about 0.72 and it means that for the sample period when real income increases 1 USD, led (on average) real consumption expenditure increases of about 72 cents Note: A hat symbol (^) above one variable will signify an estimator of the relevant population value

May 2004 Prof. Himayatullah 17 Introduction Methodology of Econometrics (6) Hypothesis Testing Are the estimates accord with the expectations of the theory that is being tested? Is MPC < 1 statistically? If so, it may support Keynes’ theory. Confirmation or refutation of economic theories based on sample evidence is object of Statistical Inference (hypothesis testing)

May 2004 Prof.VuThieu 18 Introduction Methodology of Econometrics (7) Forecasting or Prediction With given future value(s) of X, what is the future value(s) of Y? GDP=$6000Bill in 1994, what is the forecast consumption expenditure? Y^= (6000) = Income Multiplier M = 1/(1 – MPC) (=3.57). decrease (increase) of $1 in investment will eventually lead to $3.57 decrease (increase) in income

May 2004 Prof. Himayatullah 19 Introduction Methodology of Econometrics (8) Using model for control or policy purposes Y=4000= X  X  5882 MPC = 0.72, an income of $5882 Bill will produce an expenditure of $4000 Bill. By fiscal and monetary policy, Government can manipulate the control variable X to get the desired level of target variable Y

May 2004 Prof. Himayatullah 20 Introduction Methodology of Econometrics Figure 1.4: Anatomy of economic modelling 1) Economic Theory 2) Mathematical Model of Theory 3) Econometric Model of Theory 4) Data 5) Estimation of Econometric Model 6) Hypothesis Testing 7) Forecasting or Prediction 8) Using the Model for control or policy purposes

May 2004 Prof. Himayatullah 21 Economic Theory Mathematic ModelEconometric ModelData Collection Estimation Hypothesis Testing Forecasting Application in control or policy studies