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Profits and Wages per Efficiency Units of Labor

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Profits and Wages per Efficiency Units of Labor Labor and Rental Capital Market Equilibrium w=MPL R=MPK Profits Profit= Y-wL-RK In competitive equilibrium: Profit=0 ... – PowerPoint PPT presentation

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Title: Profits and Wages per Efficiency Units of Labor


1
Profits and Wages per Efficiency Units of Labor
2
Labor and Rental Capital Market Equilibrium
  • wMPL
  • RMPK

3
Profits
  • Profit Y-wL-RK
  • In competitive equilibrium Profit0
  • Why?
  • -- Profitlt0 ? better to shut down production
  • -- Profitgt0 ? double profit by doubling inputs
    and hence production
  • -- There is another way to argue that Profit0
    using what is called Eulers theorem, see the
    last 3 slides of this set.

4
From Zero-Profits to Wages per Efficiency Unit of
Labor
  • Profit0Y-wL-RK
  • wLY-RK
  • wY/L-R(K/L)
  • w/AY/(LA)-R(K/LA)

5
Eulers Theorem in Economics
  • Eulers theorem states that for a constant
    returns to scale function F(K,L) it is true that
  • YF(K,L)MPKKMPLL
  • Just substitute w and R for the marginal products
    and use the definition of profit and you will see
    that this theorem implies
  • ? in a competitive equilibrium profit is zero
    (if production is subject to constant returns to
    scale)

6
Proof Eulers Theorem?
  • Actually not that difficult. If you understand
    the concept of constant returns to scale AND the
    concept of a mathematical identity.
  • Constant returns to scale
  • bF(K,L)F(bK,bL)
  • for all bgt0.
  • Because the equation holds for all positive
    numbers b, it is an identity. This just means
    that the left-hand side of the equation and the
    right-hand side ARE EXACTLY THE SAME FOR ALL b
    (not just for one value of b).

7
Proof Eulers theorem?
  • To put it differently, mathematical identity
    means that bF(K,L) as a function of b and
    F(bK,bL) as a function of b are functions that
    lie on top of each other.
  • Because the function lie on top of each other
    they have the same values and the same slopes.
    And the slope of bF(K,L) is F(K,L) while the
    slope of F(bK,bL) is MPKKMPLL (you have to
    use the product rule of differentiation here!).
    So we get F(K,L)MPKKMPLL.
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