©February 25, 2008, Christopher Carroll MathFactsList

Math Facts Useful for Graduate Macroeconomics
http://econ.jhu.edu/people/ccarroll/public/lecturenotes

The following collection of facts is useful in many macroeconomic models. No proof is offered for some facts because the derivations are standard elements of prerequisite mathematics or microeconomics classes; this handout is offered as an aide memoire and for reference purposes.

1 Utility Functions

1.1 [CRRALim]

Fact 1

     (       )
        c1- ρ
lim    -------  =  log c
ρ→1    1 -  ρ
(1)

To see this note that we can equivalently define

           ∫
             c   - ρ
u (c)  =       χ   d χ                       (2)
            0
and note that this means that if ρ = 1 then
u′(c)  =   c- ρ                          (3)
but (1∕c) = log c.

2 Geometric Series

2.1 [FinSum]

Fact 2

          (            )
∑T          1 -  γT +1
    γi =    -----------
i=0           1 -  γ
(4)

2.2 [InfSum]

Fact 3 If 0 < γ < 1, then

∑∞        (        )
    γi =    ---1---
            1 -  γ
i=0
(5)

3 ‘Small’ Number Approximations

3.1 [TaylorOne]

Fact 4 For ε near zero (‘small’), a first order Taylor expansion of (1 + ε)ζ around 1 yields

(1 +  ε)ζ ≈  1 +  εζ
(6)

3.2 [TaylorTwo]

Fact 5 For ε near zero (‘small’), a second order Taylor expansion of (1 + ε)ζ around 1 yields

(1 + ε)ζ  ≈   1 +  ζε +  ε2ζ(ζ -  1 )∕2                (7)
                   (      (       )   )
          =   1 +    1 +    ζ----1-  ε  ζ ε            (8)
                              2

3.3 [LogEps]

Fact 6 For ε near zero (‘small’),

log (1 + ε) ≈  ε
(9)

3.4 [ExpEps]

Fact 7 For ε near zero (‘small’),

             ε
(1 +  ε) ≈  e
(10)

3.5 [OverPlus]

Fact 8 For ε near zero (‘small’),

1 ∕(1 +  ε) ≈ 1 -  ε
(11)

3.6 [MultPlus]

Fact 9 For ε and ζ near zero (‘small’),

(1 +  ε)(1 +  ζ) ≈  1 + ε +  ζ
(12)

3.7 [ExpPlus]

Fact 10 For real numbers ε and ζ

exp (ζ) exp (ε) =  exp (ζ +  ε)
(13)

4 Statistical Facts

4.1 [ELogNorm]

Fact 11 If from the viewpoint of period t the stochastic variable Zt+1 is lognormally distributed with mean ¯z and variance σz2 (Defining zt+1 = log Zt+1, write this as zt+1 ~N(z¯ z2)), then

                 2
𝔼t [ezt+1] =  e¯z+σz∕2
(14)

4.2 [LogELogNorm]

Fact 12 If Zt+1 is lognormally distributed as in the prior fact, then

log 𝔼t[Zt+1 ]  =   𝔼t[log Zt+1 ] + σ2z∕2             (15)
                         2
               =   ¯z +  σz∕2                         (16)
which follows from taking the log of both sides of (14).

4.3 [NormTimes]

Fact 13 If z ~N(z¯ z2), then

γz  ~ N  (γ ¯z,γ2 σ2 )
                  z
(17)

4.4 [SmallSmallZero]

Fact 14 If ε is small and ζ is small then εζ can be approximated by zero.

5 Other Facts

5.1 [EulersTheorem]

Fact 15 If Y = F(K,L) is a constant returns to scale production function, then

Y   =   FK K  +  FLL,                       (18)
and if this production function characterizes output in a perfectly competitive economy then FK is the interest factor and FL is the wage rate.