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Graphs and Equations in Economics

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Graphs and Equations in Economics. Two uses of graphs and equations ... You have to be cautious in doping such analysis. Correlation is not causation ... – PowerPoint PPT presentation

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Title: Graphs and Equations in Economics


1
Graphs and Equations in Economics
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2
Two uses of graphs and equations
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  • To describe and analyze theories and models
  • To describe and analyze empirical evidence

3
1. Using Graphs and Equations to Describe and
Analyze Theories and Models
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4
Graphs and equations can be used to express
relationships
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  • Qd 50 -2(Price) 3(Income)
  • Says that the quantity that people are willing
    and able to purchase decreases s the price
    increases and increases as income increases
  • Qd is negatively related to the price and
    positively related to income

5
We can create a demand schedule by
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  • Picking a level of income and holding it
    constant, for example 1,000
  • And then varying the price
  • The schedule will state the amount people would
    by at any price if their income was 1,000
  • If income goes up we get a new schedule

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Qd50-2(Price) 3(Income)
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When we graph the demand schedule
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  • We obtain a demand curve
  • If we then graph the demand schedule for the
    higher income we obtain a demand curve that is
    further to the right
  • In economics this is called shifting the curve

8
Demand Curve Shift
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  • Often we draw curves without stating the specific
    function
  • You should still think about what the curve is
    saying

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What does this Average Total Cost curve say?
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2. Using graphs and equations to analyze and
describe actual data
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Federal Spending in 2002
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Price of Vanity Plates and Sales
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Life Expectancy and Per Capita GDP
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  • Often we want to be able to state the
    relationship more specifically
  • Econometric techniques allow us to find the curve
    and the equation that best fit the data

18
This is the line that best fits the data
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This is the curve and the equation that describes
it
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You have to be cautious in doping such analysis
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  • Correlation is not causation
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