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U.S.-Korea Free Trade Agreement: Potential Economy-wide ... - USITC

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Econometric Analysis<br />

Following the previous empirical work, the first stage used a log-log specification to<br />

determine the effect of three firm-level measures plus country dummy variables on NIMs.<br />

Country-level pure spreads were then calculated by adding the coefficients of the country<br />

dummy variables to the intercept term. In the second stage these pure spreads were used as<br />

the dependent variable, with country-level independent variables including a trade policy<br />

measure. The Commission developed this trade policy measure by using a technique<br />

suggested by the OECD. 13 The OECD identified restrictions and their relative impact on<br />

trade for each of the four modes of services trade. 14 Commission staff assigned scores to<br />

market access and national treatment commitments on the seven activities defined as banking<br />

services in the GATS. The services included deposit taking and lending services as well as<br />

fee-based services. 15<br />

Where countries scheduled a given subsector as completely open, a score of 0 was assigned,<br />

whereas the absence of a commitment was assigned a score of 1. It is recognized that<br />

countries’ actual practices may be more liberal than their GATS commitments or offers<br />

indicate; therefore the GATS scores, and consequently the TEs developed from the GATS<br />

scores, should be considered an upper bound. A score of 0.25 was assigned if the measure<br />

was deemed to have little effect on trade by the OECD; a score of 0.5, if the measure has a<br />

restrictive effect; and a score of 0.75 if the measure was deemed to have a highly restrictive<br />

effect. Horizontal restrictions were assumed to have an equal effect across all subsectors<br />

unless otherwise noted, and therefore horizontal scores were assigned to each service<br />

scheduled by a given country. The total scores were aggregated across services, modes, and<br />

market access and national treatment categories. This score was then divided by 56, the score<br />

which would be observed if all services in all modes for both market access and national<br />

treatment were unbound. The resulting GATS scores were between 0 and 1. No attempt was<br />

made to weight various restrictions based on their relative importance.<br />

From the coefficient of the GATS score estimated in the second-stage equation and the trade<br />

policy score for each individual country, the TEs were estimated using the equation: 16<br />

(1) TE = 100*(e GATS coefficient*GATS score -1)<br />

Owing to the logarithmic form of the first-stage equation, it is necessary to incorporate e, the<br />

base of the natural logarithm, to the equation calculating TE. Conceptually, the TE measures<br />

the percentage difference between the observed NIM and the NIM that would be observed<br />

in the absence of any trade restrictions.<br />

13 OECD, “Assessing Barriers to <strong>Trade</strong> in Services: Revised Consolidated List of Cross-Sectoral<br />

Barriers,” 2001, 5–9.<br />

14 Cross-border supply (Mode 1) entails the provision of services from a provider in one country to a<br />

consumer in another; consumption abroad (Mode 2), the provision of a service in the country of the supplier<br />

to a consumer from another country; commercial presence (Mode 3), the provision of a service through an<br />

affiliate established in a foreign market; and the presence of natural persons (Mode 4), the provision of a<br />

service by a natural person in a foreign market.<br />

15 Commitments were scored for (1) acceptances of deposits, (2) lending of all types, (3) financial leasing,<br />

(4) all payment and money transmission services, (5) guarantees and commitments, (6) provision and transfer<br />

of financial information, and (7) advisory, intermediation, and other auxiliary financial services.<br />

16 For the derivation of this formula, see Kalirajan et al., 226–7.<br />

H-5

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