Essays on the dynamic effects of international tradepolicy
2020
This dissertation is comprised of three essays
regarding the dynamic effects of changes
in trade policy at the
firm-level and in the aggregate. The study aims to understand the
effects of policy changes when they happen with certainty and when
they are uncertain.
In the first chapter, we study how
anticipation to policy changes overstates the estimated
elasticity
of substitution, the most important parameter in international
trade.
Standard identification of this parameter uses tariff
variation from Free Trade Agreements
(FTA) and assumes that trade
flows equal their consumption. However, FTAs
eliminate tariffs
gradually through announced phaseouts. This allows firms to delay
their purchases until tariff cuts are effective while consuming
their inventories. Indeed,
during NAFTA’s staged tariff
reductions, imports experienced sizable anticipatory
slumps
followed by liberalization bumps. A trade model with inventories
replicates
these dynamics and illustrates that consumed imports
provide unbiased estimates
of the elasticity of substitution. We
propose an empirical measure of consumed imports
validated through
Monte Carlo simulations. Application to the data shows that using
imports instead of consumed imports overestimates the annual
elasticity by 68%, the
average elasticity by 16%, and increases
the ratio of the long- to short-run response
from 2 to 3.5.
In
the second chapter, we study the effects on trade from the annual
tariff uncertainty
about China’s MFN status renewal prior to
joining the WTO. We have four main
findings. First, in monthly
data trade increases significantly in anticipation of uncertain
future increases in tariffs. Second, the probability of a tariff
increase was perceived to be relatively small, with an average
annual probability of non-renewal of about 6 percent.
Third, what
matters more is the expected future tariff rather than the
uncertainty
around it. We identify these effects using within-year
variation in the risk of trade policy
changes around the renewal
vote and trade flows. We show that an (s, s) inventory
model
generates this behavior and that variation in the strength of the
stockpiling in
advance of the vote is increasing in the
storability of goods. Fourth, the costs associated
with within
year trade policy induced stockpiling account for around 30% of the
trade
dampening effects of uncertainty found in annual data. Our
results explain why trade
may hold up in advance of a prospective
policy change such as Brexit or the US-China
escalating tariff war
of 2018-19 but may fall off sharply even if expected tariff
increases
do not materialize.
The third chapter highlights the
overestimation of the productivity-enhancing effect
of tariff
reductions that arise due to a measurement issue. Tariff
liberalizations and
the associated input tariffs reductions have
been documented to result in increased firm
level productivity.
This is because input tariff reductions shift the composition of
firms’
inputs towards imported goods. However, foreign inputs
entail…
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