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Review for Test 1

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Identify the principal minors of the Hessian ... Denominator is the determinant to the full Hessian it is a principal minor ... in the Hessian are positive ... – PowerPoint PPT presentation

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Title: Review for Test 1


1
Review for Test 1
  • Advanced Micro Theory
  • ECO 6118

2
Assertion
  • When you want to explain an observed behavior
    some aspects of the explanation are not
    observable
  • Objectives of the agent
  • Preferences of the agent
  • You therefore make assertions about these
  • These assertions, combined with observable facts
    about the reality of the agent (test conditions)
  • make it possible to make theory predictions
  • to compare to your behavioral observations

3
Scientific Pitfalls
  • Ceteris Paribus
  • useful in theory but does not hold in data
  • auxiliary hypotheses
  • Multiple Working Hypotheses and False Dichotomy
  • Rejecting one hypothesis in favor of another
    neglects the possibility of non-included
    hypotheses
  • builds support for one hypotheses falsely
  • A causal explanation is confounded if there is
    more than one possible cause and the test does
    not control for that

4
  • Step 1 Find x as the stationary point
  • Step 2 Verify that this point is a maximum
  • Step 3 Solve for xx(t)
  • The explicit choice function
  • Requires an inversion apply Implicit Function
    Theorem
  • Step 4 Substitute x for x in FONC that is now
    an identity
  • Step 5 Differentiate the identity
  • Step 6 Solve for
  • Step 7 Determine the sign by referring to SOSC
    plt0

5
Marginalism
  • Comparative statics assumes changes are
    infinitesimally small
  • The movement is from one optimum to another
    optimum
  • No analysis of the path between the two optima
  • FONC holds both before and after the change

6
Profit Maximization
  • Max R(y) C(y), where yf(x)
  • Multi-plant firm R(y)-c1(y1)-c2(y2)
  • Multi-market firm R(y1)R(y2)-c(y1y2)
  • Multi-good firm R(y1)R(y2)-c1(y1)- c2(y2)
    Oligopoly, duopoly simultaneous optimization
    across multiple firms

7
Concavity
  • For unconstrained maximization the objective
    function must be strictly concave
  • The Hessian matrix must be negative definite
  • where t is the direction of the change

8
Concavity for the n-dimensional case
  • Principal minors of the determinant to the
    Hessian matrix of second-order partials of the
    objective function alternate in sign
  • all diagonal elements fiilt0
  • only the naturally ordered principal minors need
    to be checked
  • the determinant to the Hessian is a principal
    minor and its sign depends on the value of n
  • if n is even H gt 0
  • if n is odd H lt 0

9
Maximize Profits
  • SOSC requires strict concavity of production
    function
  • needs to be asserted
  • FONC defined over profits
  • Production function does not need to have a
    stationary point

10
Refutable Hypotheses
  • Comparative statics
  • change in endogenous variable due to a change in
    an exogenous variable
  • Follows from our assertion that the production
    technology is strictly concave
  • Does not form a refutable hypothesis since no
    sign for f12 is asserted through strict concavity
  • If f12gt0 (technological complements) then lt0

11
n-factors
  • Identify the principal minors of the Hessian
  • Substitute the explicit choice functions into the
    FONCs
  • Totally differentiate the full system of
    equations wrt the parameter of interest
  • Express in matrix notation
  • Use Cramers rule to solve for the comparative
    statics
  • Denominator is the determinant to the full
    Hessian it is a principal minor
  • Numerator is the signed co-factor of a minor of
    the Hessian it is of a principal minor only if
    the rows and columns removed are numbered the
    same
  • A signed co-factor is (-1)ij times the minor
  • for a principal minor ij and therefore always
    even

12
More on cross-price effects
  • n factor case
  • Only if all factors are technological complements
  • all off-diagonal elements in the Hessian are
    positive
  • can we say that factors are economic complements,
    i.e.

13
All refutable hypotheses
  • Factor demand functions are downward sloping
  • Reciprocity in factor demands follows from
    Youngs theorem
  • Supply function is upward sloping
  • Reciprocity between factor demands and output
    supply

14
Comparative statics the general case
  • f(x1, x2, a) is an arbitrary strictly concave
    objective function
  • Example a species choice of attributes (x1,
    x2) for given environmental attributes (a)
  • A neurological systems choice of responses (x1,
    x2) to given stimula (a)
  • refutable only if either f1a0 or f2a0

15
Homogeneity
  • Production function
  • linearly homogeneous (H(1)) for Constant Returns
    to Scale
  • homogeneous of degree lt1 for Decreasing Returns
    to Scale
  • homogeneous of degree gt1 for Increasing Returns
    to Scale
  • Factor demands and Output supply
  • Homogeneous of degree 0 in (p,w) jointly due to
    stationarity in optimum (first order conditions)
  • only relative prices matter

16
Euler Theorem
  • if f(x) is homogeneous of degree r then
  • for r1
  • implies zero profits
  • for r0
  • Euler Theorem has implications for price
    elasticities

17
Restricted profit maximization
  • Le Chatelier principle
  • restricted optimization allows less adjustment
    than unrestricted optimization
  • Proof based on the fundamental relationship
    between the restricted and unrestricted function

18
Duality in Profit Maximization
  • Solution to maximization of direct (primal)
    objective function
  • is the indirect (dual) objective function, called
    the Profit Function
  • asserting profit maximization implies that the
    Profit Function is convex
  • The Profit Function forms an envelope to the
    primal profit equations

19
Comparative statics
  • By differentiating the Profit Function directly
    we can derive the factor demands and the output
    supply (Hotellings Lemma)
  • Because of convexity we find the comparative
    statics results

20
General Comparative Statics using the Primal-Dual
objective maximization
  • Find the optimum (the tangency point between the
    primal and the dual)
  • it is a maximum since optimal profits are never
    less than non-optimal profits
  • FONC
  • the envelope theorem

21
Strict Concavity
  • All diagonal elements in the Hessian determinant
    to this problem are negative by strict concavity
  • Comparative statics wrt a (in the optimum treat a
    as exogenous)

22
Samuelsons Conjugate Pairs
  • Forming refutable hypotheses
  • if then

23
Properties of Profit Function
  • Non-increasing in w, convex in w, continuous in w
  • Non-decreasing in p, convex in p, continuous in p
  • Linearly homogeneous in (p,w) jointly

24
Properties of Production Functions
  • Continuous
  • Differentiable
  • Strictly increasing
  • f(0)0
  • Strictly quasi-concave
  • isoquants are convex to origin
  • strictly concave for unconstrained profit
    maximization

25
  • Marginal Rate of Technical Substitution
  • slope of the isoquant
  • Elasticity of Substitution
  • Constant Elasticity of Substitution production
    function
  • Cobb-Douglas
  • Leontief (fixed proportions)
  • Homogeneity
  • isoquants are parallel along a ray from the
    origin
  • MRTS is a constant function of the input ratio
  • Separability (weak and strong)
  • Global and Local Returns to Scale
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