SlideShare a Scribd company logo
USE OF QUANTITATIVE
TECHNIQUES IN
ECONOMICS
Mr. P. Balaji
Topics
 Comparative static Analysis
 Linear Programming
 Game theory
1. Comparative static analysis
 It used to compare various points of equilibrium when
certain factors change.
 It used to compare two different economic outcomes,
before and after a change in some underlying
exogenous parameter
 A form of sensitivity or what-if analysis.
Market equilibrium
Market equilibrium
• Assume all variables are
constant except demand.
• If demand shift upper, then
market will reach high
equilibrium price and
quantity.
• What happen if demand
decreases ?
• How it reach new
equilibrium point?
Market equilibrium
• Assume all variables are constant
except supply.
• If supply increases, then market
will reach new equilibrium price
and quantity.
• What happen if supply
decreases ?
• How it reach new equilibrium
point? And where it reaches?
What if
What happens if
 New sellers may enter a market
 Existing sellers may exit from a market
Comparative static analysis (How?)
Comparative Static Analysis
 Step 1: Model the system by using system of
equations.
System
Input Output
Exogenous
Variables (Ex:
Price of Product)
Endogenous
Variables (Ex:
Demand of
product)
System of
equations
Comparative Static Analysis
 If exogenous variables changes, the endogenous
variables will change
 Comparative static analysis examines how these
changes occur.
Example : Market for Product
 A market is one whereby parties engage in exchange.
 First step is to develop a system of equation for market.
 First develop an system of an equation to describe the
behavior of buyers.
 Second develop an system of an equation to describe the
behavior of sellers.
 Finally Develop an system of an equation to describe the
interaction of buyers and sellers.
Buyers
 Many factors affect willingness of buyer to buy a product but consider only
two; price of product(P) and income of buyer(Y).
D= aY-bP ,a>0, b>0 (derived from theory)
 D denote the demand for the product (i.e., the amount of the product which
buyers wish to buy.
 a and b are sensitive parameters (Constants).
 a measures sensitivity of demand to change in income.
 b measures sensitivity of demand to change in price.
 Let Y = 100, P = 3, a = .5, and b = 2. then D =
(.5)(100) - (2)(3) = 44.
 Now, note that if Y increases by 1 (from 100 to 101)
then D increases by a = .5 (from 44 to 44.5),
 while if P increases by 1 (from 3 to 4) then D
decreases by b = 2 (from 44 to 42).
 If a gets larger, demand becomes more responsive to a
change in income.
 If b gets larger, demand becomes more responsive to a
change in price.
(ii)Sellers, (iii) Interaction between seller
and buyer
S= cP, c>0
 S denote the supply of the product (i.e., the amount
of the product which sellers wish to sell)
S* = D*
Second step: Classify the variables
 Identify the endogenous variables in model. The
number of endogenous variables should be equal to
the number of independent (or nonequivalent)
equations in the model. (output)
 Classify the remaining variables as exogenous
variables
Variables
 Endogenous variables
 Demand (it depends on income and price)
 Supply (it depends on price)
 Price ( In eq 3, at equilibrium condition together with
demand and supply, determine price P*)
 Exogenous variables
 Y, a, b, c ( doesn‟t depends on anything)
Third step: Isolate endogenous variables
on one side
 Solve the model by starting with equilibrium point
Substitute P value in Demand equation
Fourth step: Find Comparative static
multiplier
 It gives the change in a chosen endogenous variable when a chosen
exogenous variable increases by one unit.
 It indicates one unit increase in income leads to increase in P of (a/b + c).
 If a = .5, b = 3, and c = 2 result would indicate that, one rupees increase in
income leads to increase the product price of .1 rupees.
As Y increases from Y1 to Y2, the equilibrium price level increases from P1 to
P2.
• A total of 12 comparative static
multipliers can be calculated.
• 4 endogenous and 3 exogenous
variable, so 12 comparative static
multiplier we can calculate and
interpret.
2. Linear Programming
 Management decisions in many organizations involve trying
to make most effective use of resources (machinery, labor,
money, time, warehouse space, and raw materials) in order
to produce products or provide services.
 Ex: A firm want to maximize its profit. But workers and
resources are limited.
 Linear programming offers algorithm to compute optimum
way to allocate resource such that output gets maximized or
minimized.
Basic Steps to Solve LP Problems
Formulation
 Process of translating problem scenario into simple LP model framework with a
set of mathematical relationships.
Solution
 Mathematical relationships resulting from formulation process are solved to
identify optimal solution.
Interpretation and What-if Analysis
 Problem solver or analyst works with the manager to Interpret results and
implications of problem solution.
 Investigate changes in input parameters and model variables and impact on
problem solution results.
Problem
 How many bowls and mugs should be produced to
maximize profits given labor and materials constraints?
 Product resource requirements and unit profit:
 Total labor hours available is 40 hours and total clay is
120 lb.
Formulation
Maximize Z = 40X1 + 50X2
subject to:
1X1 + 2X2 ≥ 40
4X1 + 3X2 ≥ 120
X1, X2 ≥ 0
Solution
 Graphical Approach
 Simplex Algorithm
Optimal point
 Optimal solution is the point in feasible region that produces
highest profit
 There are many possible solution points in region.
 How do we go about selecting the best one, one yielding
highest profit?
 Let objective function (that is, $$40x1 + $50x2) guide one
towards optimal point in feasible region.
 Plot line representing objective function on graph as a
straight line.
Optimal Points
 It is a very important property of Linear Programming
problems: This property states optimal solution to LP problem
will always occur at a corner point.
 It is possible to do what if analysis: what
happen if you increases bowls and mugs
prices.
3. Game theory
The analysis of competitive situations (or situations of
conflict) using mathematical models
Economist use it for auctions, bargaining, merger pricing,
oligopolies etc.
Key ingredients of Game theory
 One or more players – participants, each may be an individual, a group or
organisation, a machine, and so on.
 One or more moves (or choices) – where a move is an action carried out
during the game, including chance moves (when “nature plays a hand”) as in
the toss of a coin.
 A set of outcomes – where an outcome is the result of the completion of one
or more moves
[e.g. game of chess may end in checkmate or a draw]
 Payoff – an amount received for a given outcome.
 Finally, a set of rules which specify the conditions for the players, moves,
outcomes and payoffs.
Game theory
What is it about?
 Fundamentally about the study of decision-making
 Investigations are concerned more with choices and
strategies than „best‟ solutions.
It seeks to answer the questions:
 What strategies are there?
 What kinds of solutions are there?
Defining Games
 Two ways of representation
 Matrix form: List what payoffs get as a function of their
actions
 It is as if players moved simultaneously
 Extensive Form: Includes timing of moves
 Players move sequentially, represented as a tree
 Chess: white player moves, then black player can see white‟s move
and react...
 Keeps track of what each player knows when he or she makes
each decision
Example 1: Matching Pennies
 Two player game. One player want to match, other
want to mismatch
(1,-1) (-1,1)
(-1,1) (1,-1)
Head Tail
Player 1
Player 2
Coordination Game
(1,1) (0,0)
(0,0) (1,1)
Left Right
Player 2
Player 1
Which side of the road you take?
Both players have same interest
Battle of Sexes
 Cooperation and Competition
(2,1) (0,0)
(0,0) (1,2)
Boy Friend
Girl Friend
Immortal Titanic

More Related Content

What's hot

Econometrics
EconometricsEconometrics
Econometrics
Pawan Kawan
 
Regression analysis.
Regression analysis.Regression analysis.
Regression analysis.
sonia gupta
 
General equilibrium ppt
General equilibrium pptGeneral equilibrium ppt
General equilibrium ppt
DeepinderKaur38
 
Simple lin regress_inference
Simple lin regress_inferenceSimple lin regress_inference
Simple lin regress_inferenceKemal İnciroğlu
 
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Muhammad Ali
 
Boumals theory of sales maximisation
Boumals theory of sales maximisationBoumals theory of sales maximisation
Boumals theory of sales maximisation
Manish Kumar
 
Unit 3
Unit 3Unit 3
Regression Analysis
Regression AnalysisRegression Analysis
Regression Analysis
ASAD ALI
 
Presentation on regression analysis
Presentation on regression analysisPresentation on regression analysis
Presentation on regression analysis
Sujeet Singh
 
Principle of Least Square, its Properties, Regression line and standard error...
Principle of Least Square, its Properties, Regression line and standard error...Principle of Least Square, its Properties, Regression line and standard error...
Principle of Least Square, its Properties, Regression line and standard error...
Ali Lodhra
 
HO THEORY MODERN THEORY OF INTERNATIONAL TRADE
HO THEORY MODERN THEORY OF INTERNATIONAL TRADEHO THEORY MODERN THEORY OF INTERNATIONAL TRADE
HO THEORY MODERN THEORY OF INTERNATIONAL TRADE
Bhuvanesvari srinivasan
 
binomial distribution
binomial distributionbinomial distribution
binomial distribution
rahul kapoliya
 
Econometrics
EconometricsEconometrics
Econometrics
GarimaGupta229
 
Inflation Managerial Economics
Inflation Managerial EconomicsInflation Managerial Economics
Inflation Managerial EconomicsNethan P
 
COBB DOUGLAS PRODUCTION FUNCTION THEORY
COBB DOUGLAS PRODUCTION FUNCTION THEORYCOBB DOUGLAS PRODUCTION FUNCTION THEORY
COBB DOUGLAS PRODUCTION FUNCTION THEORYGourav Dholwal
 
Class 1 definition and importance of production function2
Class 1 definition and importance of production function2Class 1 definition and importance of production function2
Class 1 definition and importance of production function2Harinadh Karimikonda
 
International economics chapter 1
International economics   chapter 1International economics   chapter 1
International economics chapter 1John Nguyen
 

What's hot (20)

Econometrics
EconometricsEconometrics
Econometrics
 
IS-LM Analysis
IS-LM AnalysisIS-LM Analysis
IS-LM Analysis
 
Regression analysis.
Regression analysis.Regression analysis.
Regression analysis.
 
General equilibrium ppt
General equilibrium pptGeneral equilibrium ppt
General equilibrium ppt
 
Simple lin regress_inference
Simple lin regress_inferenceSimple lin regress_inference
Simple lin regress_inference
 
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
Econometrics notes (Introduction, Simple Linear regression, Multiple linear r...
 
Boumals theory of sales maximisation
Boumals theory of sales maximisationBoumals theory of sales maximisation
Boumals theory of sales maximisation
 
Unit 3
Unit 3Unit 3
Unit 3
 
Regression Analysis
Regression AnalysisRegression Analysis
Regression Analysis
 
Presentation on regression analysis
Presentation on regression analysisPresentation on regression analysis
Presentation on regression analysis
 
Principle of Least Square, its Properties, Regression line and standard error...
Principle of Least Square, its Properties, Regression line and standard error...Principle of Least Square, its Properties, Regression line and standard error...
Principle of Least Square, its Properties, Regression line and standard error...
 
HO THEORY MODERN THEORY OF INTERNATIONAL TRADE
HO THEORY MODERN THEORY OF INTERNATIONAL TRADEHO THEORY MODERN THEORY OF INTERNATIONAL TRADE
HO THEORY MODERN THEORY OF INTERNATIONAL TRADE
 
Regression
RegressionRegression
Regression
 
binomial distribution
binomial distributionbinomial distribution
binomial distribution
 
Econometrics
EconometricsEconometrics
Econometrics
 
Inflation Managerial Economics
Inflation Managerial EconomicsInflation Managerial Economics
Inflation Managerial Economics
 
COBB DOUGLAS PRODUCTION FUNCTION THEORY
COBB DOUGLAS PRODUCTION FUNCTION THEORYCOBB DOUGLAS PRODUCTION FUNCTION THEORY
COBB DOUGLAS PRODUCTION FUNCTION THEORY
 
Business cycles
Business cyclesBusiness cycles
Business cycles
 
Class 1 definition and importance of production function2
Class 1 definition and importance of production function2Class 1 definition and importance of production function2
Class 1 definition and importance of production function2
 
International economics chapter 1
International economics   chapter 1International economics   chapter 1
International economics chapter 1
 

Similar to Use of quantitative techniques in economics

TOPIC Bench-marking Testing1. Windows operating system (Microso.docx
TOPIC Bench-marking Testing1. Windows operating system (Microso.docxTOPIC Bench-marking Testing1. Windows operating system (Microso.docx
TOPIC Bench-marking Testing1. Windows operating system (Microso.docx
juliennehar
 
Decision theory
Decision theoryDecision theory
Decision theory
Aditya Mahagaonkar
 
Ch5 - Forecasting in marketing engineering
Ch5 - Forecasting in marketing engineeringCh5 - Forecasting in marketing engineering
Ch5 - Forecasting in marketing engineering
German Jordanian University
 
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
blondellchancy
 
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
priestmanmable
 
Data Analysison Regression
Data Analysison RegressionData Analysison Regression
Data Analysison Regressionjamuga gitulho
 
Marketing Experiment - Part II: Analysis
Marketing Experiment - Part II: Analysis Marketing Experiment - Part II: Analysis
Marketing Experiment - Part II: Analysis
Minha Hwang
 
Income And Substitution Effect
Income And Substitution EffectIncome And Substitution Effect
Income And Substitution Effectnight seem
 
Income and Sustitution Effects
Income and Sustitution EffectsIncome and Sustitution Effects
Income and Sustitution Effectsnight seem
 
Math 116 pres. 3
Math 116 pres. 3Math 116 pres. 3
HIGHER MATHEMATICS
HIGHER MATHEMATICSHIGHER MATHEMATICS
matrikulasi MM analisiskuantitatif
matrikulasi MM analisiskuantitatifmatrikulasi MM analisiskuantitatif
matrikulasi MM analisiskuantitatif
adeline8011
 
Intecon micro review 1
Intecon micro review 1Intecon micro review 1
Intecon micro review 1
Julio Huato
 
ManScie_Chapter1_Introduction (4).pdf
ManScie_Chapter1_Introduction (4).pdfManScie_Chapter1_Introduction (4).pdf
ManScie_Chapter1_Introduction (4).pdf
MierukoChan2
 
Boolean expression org.
Boolean expression org.Boolean expression org.
Boolean expression org.
mshoaib15
 
Assignment oprations research luv
Assignment oprations research luvAssignment oprations research luv
Assignment oprations research luvAshok Sharma
 
Lecture 1: NBERMetrics
Lecture 1: NBERMetricsLecture 1: NBERMetrics
Lecture 1: NBERMetricsNBER
 
MGE-1.pptx
MGE-1.pptxMGE-1.pptx
MGE-1.pptx
ScallionRice
 

Similar to Use of quantitative techniques in economics (20)

TOPIC Bench-marking Testing1. Windows operating system (Microso.docx
TOPIC Bench-marking Testing1. Windows operating system (Microso.docxTOPIC Bench-marking Testing1. Windows operating system (Microso.docx
TOPIC Bench-marking Testing1. Windows operating system (Microso.docx
 
Decision theory
Decision theoryDecision theory
Decision theory
 
Ch5 - Forecasting in marketing engineering
Ch5 - Forecasting in marketing engineeringCh5 - Forecasting in marketing engineering
Ch5 - Forecasting in marketing engineering
 
Statistics for entrepreneurs
Statistics for entrepreneurs Statistics for entrepreneurs
Statistics for entrepreneurs
 
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
 
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
8. A 2 x 2 Experimental Design - Quality and Economy (x1 and x2.docx
 
Data Analysison Regression
Data Analysison RegressionData Analysison Regression
Data Analysison Regression
 
Marketing Experiment - Part II: Analysis
Marketing Experiment - Part II: Analysis Marketing Experiment - Part II: Analysis
Marketing Experiment - Part II: Analysis
 
Demand Estimation
Demand EstimationDemand Estimation
Demand Estimation
 
Income And Substitution Effect
Income And Substitution EffectIncome And Substitution Effect
Income And Substitution Effect
 
Income and Sustitution Effects
Income and Sustitution EffectsIncome and Sustitution Effects
Income and Sustitution Effects
 
Math 116 pres. 3
Math 116 pres. 3Math 116 pres. 3
Math 116 pres. 3
 
HIGHER MATHEMATICS
HIGHER MATHEMATICSHIGHER MATHEMATICS
HIGHER MATHEMATICS
 
matrikulasi MM analisiskuantitatif
matrikulasi MM analisiskuantitatifmatrikulasi MM analisiskuantitatif
matrikulasi MM analisiskuantitatif
 
Intecon micro review 1
Intecon micro review 1Intecon micro review 1
Intecon micro review 1
 
ManScie_Chapter1_Introduction (4).pdf
ManScie_Chapter1_Introduction (4).pdfManScie_Chapter1_Introduction (4).pdf
ManScie_Chapter1_Introduction (4).pdf
 
Boolean expression org.
Boolean expression org.Boolean expression org.
Boolean expression org.
 
Assignment oprations research luv
Assignment oprations research luvAssignment oprations research luv
Assignment oprations research luv
 
Lecture 1: NBERMetrics
Lecture 1: NBERMetricsLecture 1: NBERMetrics
Lecture 1: NBERMetrics
 
MGE-1.pptx
MGE-1.pptxMGE-1.pptx
MGE-1.pptx
 

More from Balaji P

Probability distribution for Dummies
Probability distribution for DummiesProbability distribution for Dummies
Probability distribution for Dummies
Balaji P
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theorem
Balaji P
 
Statistics in research
Statistics in researchStatistics in research
Statistics in research
Balaji P
 
Structural equation modeling in amos
Structural equation modeling in amosStructural equation modeling in amos
Structural equation modeling in amos
Balaji P
 
Sampling design
Sampling designSampling design
Sampling design
Balaji P
 
Method of data collection
Method of data collectionMethod of data collection
Method of data collection
Balaji P
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scaling
Balaji P
 
Gantt
GanttGantt
Gantt
Balaji P
 
Research design
Research designResearch design
Research design
Balaji P
 
Research proposal
Research proposalResearch proposal
Research proposal
Balaji P
 
Research problem
Research problemResearch problem
Research problem
Balaji P
 
Research methodology
Research methodologyResearch methodology
Research methodology
Balaji P
 
Operation research history and overview application limitation
Operation research history and overview application limitationOperation research history and overview application limitation
Operation research history and overview application limitation
Balaji P
 
Research methodology
Research methodology Research methodology
Research methodology
Balaji P
 

More from Balaji P (14)

Probability distribution for Dummies
Probability distribution for DummiesProbability distribution for Dummies
Probability distribution for Dummies
 
Probability basics and bayes' theorem
Probability basics and bayes' theoremProbability basics and bayes' theorem
Probability basics and bayes' theorem
 
Statistics in research
Statistics in researchStatistics in research
Statistics in research
 
Structural equation modeling in amos
Structural equation modeling in amosStructural equation modeling in amos
Structural equation modeling in amos
 
Sampling design
Sampling designSampling design
Sampling design
 
Method of data collection
Method of data collectionMethod of data collection
Method of data collection
 
Measurement and scaling
Measurement and scalingMeasurement and scaling
Measurement and scaling
 
Gantt
GanttGantt
Gantt
 
Research design
Research designResearch design
Research design
 
Research proposal
Research proposalResearch proposal
Research proposal
 
Research problem
Research problemResearch problem
Research problem
 
Research methodology
Research methodologyResearch methodology
Research methodology
 
Operation research history and overview application limitation
Operation research history and overview application limitationOperation research history and overview application limitation
Operation research history and overview application limitation
 
Research methodology
Research methodology Research methodology
Research methodology
 

Recently uploaded

how to sell pi coins at high rate quickly.
how to sell pi coins at high rate quickly.how to sell pi coins at high rate quickly.
how to sell pi coins at high rate quickly.
DOT TECH
 
Financial Assets: Debit vs Equity Securities.pptx
Financial Assets: Debit vs Equity Securities.pptxFinancial Assets: Debit vs Equity Securities.pptx
Financial Assets: Debit vs Equity Securities.pptx
Writo-Finance
 
how to sell pi coins in all Africa Countries.
how to sell pi coins in all Africa Countries.how to sell pi coins in all Africa Countries.
how to sell pi coins in all Africa Countries.
DOT TECH
 
What website can I sell pi coins securely.
What website can I sell pi coins securely.What website can I sell pi coins securely.
What website can I sell pi coins securely.
DOT TECH
 
managementaccountingunitiv-230422140105-dd17d80b.ppt
managementaccountingunitiv-230422140105-dd17d80b.pptmanagementaccountingunitiv-230422140105-dd17d80b.ppt
managementaccountingunitiv-230422140105-dd17d80b.ppt
SuseelaPalanimuthu
 
Which Crypto to Buy Today for Short-Term in May-June 2024.pdf
Which Crypto to Buy Today for Short-Term in May-June 2024.pdfWhich Crypto to Buy Today for Short-Term in May-June 2024.pdf
Which Crypto to Buy Today for Short-Term in May-June 2024.pdf
Kezex (KZX)
 
Introduction to Value Added Tax System.ppt
Introduction to Value Added Tax System.pptIntroduction to Value Added Tax System.ppt
Introduction to Value Added Tax System.ppt
VishnuVenugopal84
 
what is a pi whale and how to access one.
what is a pi whale and how to access one.what is a pi whale and how to access one.
what is a pi whale and how to access one.
DOT TECH
 
US Economic Outlook - Being Decided - M Capital Group August 2021.pdf
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfUS Economic Outlook - Being Decided - M Capital Group August 2021.pdf
US Economic Outlook - Being Decided - M Capital Group August 2021.pdf
pchutichetpong
 
USDA Loans in California: A Comprehensive Overview.pptx
USDA Loans in California: A Comprehensive Overview.pptxUSDA Loans in California: A Comprehensive Overview.pptx
USDA Loans in California: A Comprehensive Overview.pptx
marketing367770
 
what is the best method to sell pi coins in 2024
what is the best method to sell pi coins in 2024what is the best method to sell pi coins in 2024
what is the best method to sell pi coins in 2024
DOT TECH
 
where can I find a legit pi merchant online
where can I find a legit pi merchant onlinewhere can I find a legit pi merchant online
where can I find a legit pi merchant online
DOT TECH
 
Webinar Exploring DORA for Fintechs - Simont Braun
Webinar Exploring DORA for Fintechs - Simont BraunWebinar Exploring DORA for Fintechs - Simont Braun
Webinar Exploring DORA for Fintechs - Simont Braun
FinTech Belgium
 
This assessment plan proposal is to outline a structured approach to evaluati...
This assessment plan proposal is to outline a structured approach to evaluati...This assessment plan proposal is to outline a structured approach to evaluati...
This assessment plan proposal is to outline a structured approach to evaluati...
lamluanvan.net Viết thuê luận văn
 
234Presentation on Indian Debt Market.ppt
234Presentation on Indian Debt Market.ppt234Presentation on Indian Debt Market.ppt
234Presentation on Indian Debt Market.ppt
PravinPatil144525
 
how to swap pi coins to foreign currency withdrawable.
how to swap pi coins to foreign currency withdrawable.how to swap pi coins to foreign currency withdrawable.
how to swap pi coins to foreign currency withdrawable.
DOT TECH
 
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...
Turin Startup Ecosystem 2024  - Ricerca sulle Startup e il Sistema dell'Innov...Turin Startup Ecosystem 2024  - Ricerca sulle Startup e il Sistema dell'Innov...
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...
Quotidiano Piemontese
 
how to sell pi coins on Binance exchange
how to sell pi coins on Binance exchangehow to sell pi coins on Binance exchange
how to sell pi coins on Binance exchange
DOT TECH
 
PF-Wagner's Theory of Public Expenditure.pptx
PF-Wagner's Theory of Public Expenditure.pptxPF-Wagner's Theory of Public Expenditure.pptx
PF-Wagner's Theory of Public Expenditure.pptx
GunjanSharma28848
 
how to sell pi coins effectively (from 50 - 100k pi)
how to sell pi coins effectively (from 50 - 100k  pi)how to sell pi coins effectively (from 50 - 100k  pi)
how to sell pi coins effectively (from 50 - 100k pi)
DOT TECH
 

Recently uploaded (20)

how to sell pi coins at high rate quickly.
how to sell pi coins at high rate quickly.how to sell pi coins at high rate quickly.
how to sell pi coins at high rate quickly.
 
Financial Assets: Debit vs Equity Securities.pptx
Financial Assets: Debit vs Equity Securities.pptxFinancial Assets: Debit vs Equity Securities.pptx
Financial Assets: Debit vs Equity Securities.pptx
 
how to sell pi coins in all Africa Countries.
how to sell pi coins in all Africa Countries.how to sell pi coins in all Africa Countries.
how to sell pi coins in all Africa Countries.
 
What website can I sell pi coins securely.
What website can I sell pi coins securely.What website can I sell pi coins securely.
What website can I sell pi coins securely.
 
managementaccountingunitiv-230422140105-dd17d80b.ppt
managementaccountingunitiv-230422140105-dd17d80b.pptmanagementaccountingunitiv-230422140105-dd17d80b.ppt
managementaccountingunitiv-230422140105-dd17d80b.ppt
 
Which Crypto to Buy Today for Short-Term in May-June 2024.pdf
Which Crypto to Buy Today for Short-Term in May-June 2024.pdfWhich Crypto to Buy Today for Short-Term in May-June 2024.pdf
Which Crypto to Buy Today for Short-Term in May-June 2024.pdf
 
Introduction to Value Added Tax System.ppt
Introduction to Value Added Tax System.pptIntroduction to Value Added Tax System.ppt
Introduction to Value Added Tax System.ppt
 
what is a pi whale and how to access one.
what is a pi whale and how to access one.what is a pi whale and how to access one.
what is a pi whale and how to access one.
 
US Economic Outlook - Being Decided - M Capital Group August 2021.pdf
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfUS Economic Outlook - Being Decided - M Capital Group August 2021.pdf
US Economic Outlook - Being Decided - M Capital Group August 2021.pdf
 
USDA Loans in California: A Comprehensive Overview.pptx
USDA Loans in California: A Comprehensive Overview.pptxUSDA Loans in California: A Comprehensive Overview.pptx
USDA Loans in California: A Comprehensive Overview.pptx
 
what is the best method to sell pi coins in 2024
what is the best method to sell pi coins in 2024what is the best method to sell pi coins in 2024
what is the best method to sell pi coins in 2024
 
where can I find a legit pi merchant online
where can I find a legit pi merchant onlinewhere can I find a legit pi merchant online
where can I find a legit pi merchant online
 
Webinar Exploring DORA for Fintechs - Simont Braun
Webinar Exploring DORA for Fintechs - Simont BraunWebinar Exploring DORA for Fintechs - Simont Braun
Webinar Exploring DORA for Fintechs - Simont Braun
 
This assessment plan proposal is to outline a structured approach to evaluati...
This assessment plan proposal is to outline a structured approach to evaluati...This assessment plan proposal is to outline a structured approach to evaluati...
This assessment plan proposal is to outline a structured approach to evaluati...
 
234Presentation on Indian Debt Market.ppt
234Presentation on Indian Debt Market.ppt234Presentation on Indian Debt Market.ppt
234Presentation on Indian Debt Market.ppt
 
how to swap pi coins to foreign currency withdrawable.
how to swap pi coins to foreign currency withdrawable.how to swap pi coins to foreign currency withdrawable.
how to swap pi coins to foreign currency withdrawable.
 
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...
Turin Startup Ecosystem 2024  - Ricerca sulle Startup e il Sistema dell'Innov...Turin Startup Ecosystem 2024  - Ricerca sulle Startup e il Sistema dell'Innov...
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...
 
how to sell pi coins on Binance exchange
how to sell pi coins on Binance exchangehow to sell pi coins on Binance exchange
how to sell pi coins on Binance exchange
 
PF-Wagner's Theory of Public Expenditure.pptx
PF-Wagner's Theory of Public Expenditure.pptxPF-Wagner's Theory of Public Expenditure.pptx
PF-Wagner's Theory of Public Expenditure.pptx
 
how to sell pi coins effectively (from 50 - 100k pi)
how to sell pi coins effectively (from 50 - 100k  pi)how to sell pi coins effectively (from 50 - 100k  pi)
how to sell pi coins effectively (from 50 - 100k pi)
 

Use of quantitative techniques in economics

  • 1. USE OF QUANTITATIVE TECHNIQUES IN ECONOMICS Mr. P. Balaji
  • 2. Topics  Comparative static Analysis  Linear Programming  Game theory
  • 3. 1. Comparative static analysis  It used to compare various points of equilibrium when certain factors change.  It used to compare two different economic outcomes, before and after a change in some underlying exogenous parameter  A form of sensitivity or what-if analysis.
  • 5. Market equilibrium • Assume all variables are constant except demand. • If demand shift upper, then market will reach high equilibrium price and quantity. • What happen if demand decreases ? • How it reach new equilibrium point?
  • 6. Market equilibrium • Assume all variables are constant except supply. • If supply increases, then market will reach new equilibrium price and quantity. • What happen if supply decreases ? • How it reach new equilibrium point? And where it reaches?
  • 7. What if What happens if  New sellers may enter a market  Existing sellers may exit from a market Comparative static analysis (How?)
  • 8. Comparative Static Analysis  Step 1: Model the system by using system of equations. System Input Output Exogenous Variables (Ex: Price of Product) Endogenous Variables (Ex: Demand of product) System of equations
  • 9. Comparative Static Analysis  If exogenous variables changes, the endogenous variables will change  Comparative static analysis examines how these changes occur.
  • 10. Example : Market for Product  A market is one whereby parties engage in exchange.  First step is to develop a system of equation for market.  First develop an system of an equation to describe the behavior of buyers.  Second develop an system of an equation to describe the behavior of sellers.  Finally Develop an system of an equation to describe the interaction of buyers and sellers.
  • 11. Buyers  Many factors affect willingness of buyer to buy a product but consider only two; price of product(P) and income of buyer(Y). D= aY-bP ,a>0, b>0 (derived from theory)  D denote the demand for the product (i.e., the amount of the product which buyers wish to buy.  a and b are sensitive parameters (Constants).  a measures sensitivity of demand to change in income.  b measures sensitivity of demand to change in price.
  • 12.  Let Y = 100, P = 3, a = .5, and b = 2. then D = (.5)(100) - (2)(3) = 44.  Now, note that if Y increases by 1 (from 100 to 101) then D increases by a = .5 (from 44 to 44.5),  while if P increases by 1 (from 3 to 4) then D decreases by b = 2 (from 44 to 42).  If a gets larger, demand becomes more responsive to a change in income.  If b gets larger, demand becomes more responsive to a change in price.
  • 13. (ii)Sellers, (iii) Interaction between seller and buyer S= cP, c>0  S denote the supply of the product (i.e., the amount of the product which sellers wish to sell) S* = D*
  • 14. Second step: Classify the variables  Identify the endogenous variables in model. The number of endogenous variables should be equal to the number of independent (or nonequivalent) equations in the model. (output)  Classify the remaining variables as exogenous variables
  • 15. Variables  Endogenous variables  Demand (it depends on income and price)  Supply (it depends on price)  Price ( In eq 3, at equilibrium condition together with demand and supply, determine price P*)  Exogenous variables  Y, a, b, c ( doesn‟t depends on anything)
  • 16. Third step: Isolate endogenous variables on one side  Solve the model by starting with equilibrium point Substitute P value in Demand equation
  • 17. Fourth step: Find Comparative static multiplier  It gives the change in a chosen endogenous variable when a chosen exogenous variable increases by one unit.  It indicates one unit increase in income leads to increase in P of (a/b + c).  If a = .5, b = 3, and c = 2 result would indicate that, one rupees increase in income leads to increase the product price of .1 rupees.
  • 18. As Y increases from Y1 to Y2, the equilibrium price level increases from P1 to P2. • A total of 12 comparative static multipliers can be calculated. • 4 endogenous and 3 exogenous variable, so 12 comparative static multiplier we can calculate and interpret.
  • 19. 2. Linear Programming  Management decisions in many organizations involve trying to make most effective use of resources (machinery, labor, money, time, warehouse space, and raw materials) in order to produce products or provide services.  Ex: A firm want to maximize its profit. But workers and resources are limited.  Linear programming offers algorithm to compute optimum way to allocate resource such that output gets maximized or minimized.
  • 20. Basic Steps to Solve LP Problems Formulation  Process of translating problem scenario into simple LP model framework with a set of mathematical relationships. Solution  Mathematical relationships resulting from formulation process are solved to identify optimal solution. Interpretation and What-if Analysis  Problem solver or analyst works with the manager to Interpret results and implications of problem solution.  Investigate changes in input parameters and model variables and impact on problem solution results.
  • 21. Problem  How many bowls and mugs should be produced to maximize profits given labor and materials constraints?  Product resource requirements and unit profit:  Total labor hours available is 40 hours and total clay is 120 lb.
  • 22. Formulation Maximize Z = 40X1 + 50X2 subject to: 1X1 + 2X2 ≥ 40 4X1 + 3X2 ≥ 120 X1, X2 ≥ 0
  • 24. Optimal point  Optimal solution is the point in feasible region that produces highest profit  There are many possible solution points in region.  How do we go about selecting the best one, one yielding highest profit?  Let objective function (that is, $$40x1 + $50x2) guide one towards optimal point in feasible region.  Plot line representing objective function on graph as a straight line.
  • 25. Optimal Points  It is a very important property of Linear Programming problems: This property states optimal solution to LP problem will always occur at a corner point.  It is possible to do what if analysis: what happen if you increases bowls and mugs prices.
  • 26. 3. Game theory The analysis of competitive situations (or situations of conflict) using mathematical models Economist use it for auctions, bargaining, merger pricing, oligopolies etc.
  • 27. Key ingredients of Game theory  One or more players – participants, each may be an individual, a group or organisation, a machine, and so on.  One or more moves (or choices) – where a move is an action carried out during the game, including chance moves (when “nature plays a hand”) as in the toss of a coin.  A set of outcomes – where an outcome is the result of the completion of one or more moves [e.g. game of chess may end in checkmate or a draw]  Payoff – an amount received for a given outcome.  Finally, a set of rules which specify the conditions for the players, moves, outcomes and payoffs.
  • 28. Game theory What is it about?  Fundamentally about the study of decision-making  Investigations are concerned more with choices and strategies than „best‟ solutions. It seeks to answer the questions:  What strategies are there?  What kinds of solutions are there?
  • 29. Defining Games  Two ways of representation  Matrix form: List what payoffs get as a function of their actions  It is as if players moved simultaneously  Extensive Form: Includes timing of moves  Players move sequentially, represented as a tree  Chess: white player moves, then black player can see white‟s move and react...  Keeps track of what each player knows when he or she makes each decision
  • 30. Example 1: Matching Pennies  Two player game. One player want to match, other want to mismatch (1,-1) (-1,1) (-1,1) (1,-1) Head Tail Player 1 Player 2
  • 31. Coordination Game (1,1) (0,0) (0,0) (1,1) Left Right Player 2 Player 1 Which side of the road you take? Both players have same interest
  • 32. Battle of Sexes  Cooperation and Competition (2,1) (0,0) (0,0) (1,2) Boy Friend Girl Friend Immortal Titanic