Ecotrix
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Transcript of Ecotrix
Group 8:
Srijita Agarwal (5)Schuyler D’souza (9)Chandana Rayachoti (41)Danish Shaikh (52)
Operational Research Presentation
Ecotrix
What is Ecotrix?
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)
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)
What is Ecotrix?
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)
What is Ecotrix?
Econometrics
Economic Theory
MathematicalEconomics
Economic Statistics
Mathematic Statistics
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
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
Why a separate discipline?
Economic Theory makes statements or hypotheses
- Theories do not provide• the necessary measure of strength of relationship (numerical estimate of the relationship) & • the proper functional relationship between variables
Why study Ecotrix?
- Example: Law of Demand• A reduction in price of a commodity is expected to increase
the quantity demanded of that commodity
To provide empirical verification of theories
Formulation of econometrics models for:
- estimating the economic relationship - testing the validity of economic theories or hypotheses - evaluating government policy
Use the models for:
- predicting, forecasting - assess impacts of certain decisions & policy recommendation
Objectives of Ecotrix
Economic Model v/s Ecotrix Model
An economic model is a set of assumptions that approximately describes the behaviour of an economy
Example: Law of Demand
An econometric model consists of the following:
1. A set of behavioural equations derived from the economic model
2. A statement of whether there are errors of observation in the observed variables
3. A specification of the probability distribution of the “disturbances”
What Constitutes a Test of an Economic Theory
To report
- the signs of the estimated coefficients in an econometric model - the significance test of each variables / regression
To confirm economic theories
- whether the estimated coefficients carried the expected sign - the statistical significance of the variables - the fitness of the model
Methodology of Econometrics
1) Economic Theory
2) Mathematical Model of Theory
3) Econometric Model of Theory
4) Obtaining Data
5) Estimation of Econometric Model
6) Hypothesis Testing
7) Forecasting or Prediction
8) Using the Model for control or policy purposes
Economic Theory
Mathematic Model Econometric Model Data Collection
Estimation
Hypothesis Testing
Forecasting
Applicationin control or
policy studies
(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 greater than zero but less than unit”
Methodology of Econometrics
(2) Specification of the mathematical model of the theory
Y = ß1+ ß2X ; 0 < ß2< 1Y= consumption expenditureX= incomeß1 and ß2 are parameters; ß1 is intercept, and ß2 is slope
coefficients
Methodology of Econometrics
(3) Specification of the econometric model of the theory
Y = ß1+ ß2X + u ; 0 < ß2< 1;Y = consumption expenditure; X = income; ß1 and ß2 are parameters; ß1is intercept and ß2 is slope coefficients; u is disturbance term or error term. It is a random or stochastic variable
Methodology of Econometrics
(4) Obtaining Data
Y= Personal consumption expenditure
X= Gross Domestic Product (all in Billion US Dollars)
Methodology of Econometrics
(4) Obtaining Data
Year X Y
198019811982198319841985198619871988198919901991
2447.12476.92503.72619.42746.12865.82969.13052.23162.43223.33260.43240.8
3776.33843.13760.33906.64148.54279.84404.54539.94718.64838.04877.54821.0
Methodology of Econometrics
(5) Estimating the Econometric Model
Y^ = - 231.8 + 0.7194 X 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
Methodology of Econometrics
(6) Hypothesis TestingAre 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)
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^= - 231.8+0.7196(6000) = 4084.6
Income Multiplier M = 1/(1 – MPC) (=3.57). Decrease ( or increase) of $1 in investment will eventually lead to $3.57 decrease ( or increase) in income
Methodology of Econometrics
(8) Using model for control or policy purposes
Y=4000= -231.8+0.7194 X X 5882
MPC = 0.72.
Methodology of Econometrics
Conclusion & Inference: An income of $5882 will produce an expenditure of $4000. By fiscal and monetary policy, Government can manipulate the control variable X to get the desired level of target variable Y
Thank You!