Using a Taylor approximation, the effect of changes in the three variables (∆σ2 , ∆ρ, and
∆h) on the aggregate volatility is:
2 ∂σA2 2 ∂σA2 ∂σA2
(9)
∆σA ≈ TΓ2∆σ2 + :iA∆ρ + —A∆h.
∂σ2 ∂ρ ∂h
We can compute the partial derivatives using equation (8):
∆σA ≈ (h + (1 — h)pσA~] ∆σ2 +(1 — h)σσA-∆ρ + (σ2 —
2σ
1----------------------{z-------------------
[1] Sector Volatility Effect
}|
{z
}|
ρσσA- )∆h .
{Z
(10)
{z
[2] Comovement Effect [3] Specialization Effect
Each of the three terms represents the partial effect of the three channels we estimated on
the aggregate volatility, and their sum is the combined impact.
We obtain the values of ∆σ2 , ∆ρ, and ∆h as a function of changes in openness from
our estimated equations as follows:
∆σ2 = βbσσ2∆Log(Openness) (11)
∆ρ = βbρ∆Log(Openness) (12)
∆h = βbhh∆Log(Openness), (13)
where βbσ is the coefficient on the trade openness variable in equation (2), βbρ is the coefficient
on trade openness obtained from estimating equation (4), and βbh comes from estimating
our specialization equation (6).20
The various exercises we perform in this section differ only in the kinds of values we
plug in for ∆Log(Openness), σ2, ρ, h, σA-, βσ, βρ, and βh.
4.1 The Impact Across Countries and Over Time
In the first two exercises, we use the average values of σ2 , ρ, and h found in our sample.
These are reported in the first row of Table T1. The average Herfindahl index in our sample
is h = 0.12. The average comovement of a sector with the aggregate, ρ = 0.35. The average
variance of a sector, σ2 = 0.038. For the variance of the entire economy minus one sector,
σA2 -, we simply use the average aggregate volatility in our sample of countries, which is
0.0086. This is a sensible approximation of the volatility of all the sectors except one, since
the mean share of an individual sector in total manufacturing is just under 0.04, and thus on
average, subtracting an individual sector from the aggregate will not make much difference.
The dispersion in the overall manufacturing trade as a share of output in our sample
implies that moving from the 25th to the 75th percentile in overall trade openness is equiv-
alent to an increase in total trade to manufacturing output from about 40 percent (e.g.,
20Note that in the estimation equations (2) and (6) the left-hand-side variable is in logs. Hence, in order
to get the change in its level in equations (11) and (13), we must multiply the estimated coefficients by the
average level of the variable.
15