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Lecture 18. Comparative Statics

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Title: Lecture 18. Comparative Statics


1
Lecture 18. Comparative Statics
  • Learning objectives. By the end of this lecture
    you should
  • Understand some basic ideas about comparative
    statics.
  • Introduction. In most economic problems we have
    exogenous variables
  • E.g. prices and income for the consumer
  • E.g. wages and prices for the competitive firm
  • And endogenous variables.
  • E.g. demand variables, x, for the consumer
  • Supply and input demand for the firm.
  • Exogenous variables are often call parameters.
  • Often we want to know how the endogenous
    variables change as the exogenous variables alter
  • E.g. how does demand for oranges change if the
    price of apples rises?
  • The technique for finding the answer is called
    comparative statics
  • It is closely related to the second order
    conditions we have been studying.
  • Note that often we dont need a specific number
    for the comparative static, just a direction e.g.
    orange demand rises if the apple price rises

2
Demand and supply example.
  • Suppose we are interested in two variables x
    (equilibrium output) and p (equilibrium price).
    We have two equations that determine the
    variables
  • Demand x 0.5m/p
  • Supply p 4 2x
  • How does a marginal change in income (m) alter
    the equilibrium price?
  • A rise in m raises demand, x
  • Thus prices must rise to meet this demand
  • But then x must fall because prices have risen.
  • But then prices will fall
  • So what is the net effect on x and p?
  • To put it another way. Suppose we ran a
    regression of
  • P abM.
  • What would we expect for the sign of b?
  • To find the answer, we need to implicitly
    differentiate this system of equations. First we
    rewrite the two equations in the right kind of
    format. Here m is our only exogenous variable. X
    and p are endogenous and we have two equations

3
2. The implicit function theorem.
  • An explicit function x f(b). So x is
    explicitly a function of b. To find dx/db we
    differentiate this function by b.
  • An implicit function f(x,b) 0. So x is
    implicitly a function of b. To find dx/db we
    differentiate this function by b
  • If x and b are single variables, then dx/db will
    exist provided
  • exist and
  • This proposition is known as the implicit
    function theorem. This is what we have been
    (implicitly) using.

4
3. The implicit function theorem x is a vector.
  • Let f(x,b) 0 where x (x1,,xn) and 0 is a
    vector of n zeros. So x is implicitly a function
    of b. We write this out in detail in vector form
    as
  • Note that in our examples up until now the fis
    have been the derivatives of f with respect to
    xi. They dont have to be derivatives. E.g. The
    equations for a consumers demand for x1 and x2
  • To find dxi/db we differentiate the function by
    b

5
3. The implicit function theorem x is a vector.
  • Rearrange
  • This first matrix is known as the Jacobean (J).
  • So, for dxi/db to exist we require,
  • fi to be differentiable with respect to the xis
  • J to be non-singular,
  • Then,
  • Or alternatively, use Cramers rule

6
4. Example.
  • Suppose
  • Then
  • Exercise find dx1/db

7
5. Demand and supply example again.
  • Suppose we are interested in two variables x
    (equilibrium output) and p (equilibrium price).
    We have two equations that determine the
    variables
  • Demand x 0.5m/p
  • Supply p 4 2x
  • To find the answer, we need to implicitly
    differentiate this system of equations. First we
    rewrite the two equations in the right kind of
    format. Here m is our only exogenous variable. X
    and p are endogenous and we have two equations

8
5. Demand and supply example.
  • Implicitly differentiate with respect to m
  • That is,
  • Or

9
5. Demand and supply example.
  • Invert the Jacobian
  • So,
  • yields

10
5. Interpreting the demand and supply example.
  • Our solution (after some tidying up)
  • Everything is positive, so dx/dm gt 0 and dp/dm gt
    0. i.e. equilibrium output and price rise.
  • In our regression p a bM, we would expect b
    to be positive.

11
6. Comparative statics when there is maximization.
  • A competitive firm faces a market price p.
  • It has total costs of 2x2 where x output.
  • What is the optimal output?
  • Answer
  • Profits p px 2x2
  • Differentiate to get first order condition dp/dx
    p 4x 0
  • So x p/4 an explicit solution for x.
  • How does output change as the price alters?
  • In this question this is easy because we have the
    explicit solution for x
  • dx/dp 1/4

p
x
12
6. Comparative statics when there is maximization.
  • A competitive firm faces a market price p.
  • It has total costs of c(x) where x output.
    c(x) gt 0 and c(x) gt 0.
  • What is the optimal output in this more general
    case?
  • Answer
  • Profits p px c(x)
  • Differentiate to get first order condition dp/dx
    p c(x) 0
  • So x is given implicitly by the solution to this
    equation.
  • How does output change as the price alters?
  • This is harder, but we know
  • Note that weve written p as a function of p and
    x, but x depends on p.
  • If we totally differentiate the first order
    condition

13
6.
  • Rearrange
  • First note that if the first order condition
    represents a maximum,
  • So will have the same sign as
  • Here
  • So as long as the second order condition is
    satisfied, output rises as prices rise i.e. the
    supply curve is upward sloping.
  • The sign of a variable or function is whether
    it is positive () or negative (-). Its
    shorthand for whether the value of the function
    is greater than zero or less than zero.

14
6. continued..
  • Lets just check that the second order condition
    holds
  • given our assumption about c.
  • Question c gt 0 is equivalent to
  • Increasing returns
  • Constant returns
  • Decreasing returns?

15
7. Maximization with respect to one variable.
  • If x is just a single variable, then
  • If the first order conditions represent a
    maximum, then the denominator must be negative so
    the sign of df/db is the same as the sign of
  • This is often written
  • Remember that this right hand term is the
    derivative of the first order condition with
    respect to b.

16
8. Comparative statics with maximization
general points.
  • More generally. Suppose we maximize f(x,b) with
    respect to x, where b is a parameter. Then our
    starting point for the comparative statics is the
    set of first order conditions
  • It follows that the Jacobean is the Hessian
    matrix for f. In other words
  • Typically knowing this gives us additional
    information about the sign of the comparative
    statics.

17
9. Summary.
  • In todays lecture you learnt
  • How to do comparative statics with a functions of
    one and two variables.
  • Next more on comparative statics in the context
    of optimization.
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