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# GLOBAL FACTOR TRADE: Implications for Net Factor Trade The reason is that the trade literature is replete with proposed amendments to the HOV model that in the end do not help us to understand actual factor service flows. We have already evaluated the hypotheses statistically, so in this section we examine the extent to which these hypotheses help us to understand real world factor trade flows. In order to understand the economic significance of our models, we conduct tests of the HOV model of production and trade under a variety of specifications, as developed in Section II and summarized in Table 2. Here our tests are designed not for model selection, but rather to help us see the economic implications for the HOV model of each of the hypotheses that we have considered. We will begin by working primarily on the production side. Once we have made the major improvements we anticipate in that area, we move on to consider an amendment to the absorption model.
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We provide three tests of the trade model. The first is the Sign Test. It asks simply if countries are measured to be exporting services of the factors that we predict they are exporting, i.e. is sign (MFCT = sign (PFCT) ? For example, in trade specification T1, it asks if sign(BfTc) = sign Vfc – sc V^. The statistic reported is the proportion of sign matches. The trade Slope Test examines specifications T1 to T5 by regressing the MFCT on the PFCT. For example, in specification T1 this involves a regression of BfTc on (V* – sc VfW). The hypothesized slope is again unity, which we would like to see measured precisely and with good fit. The Variance Ratio Test examines the ratio Var(MFCT)/Var(PFCT). One indicator of “missing trade” is when this ratio is close to zero, whereas if the model fit perfectly the variance ratio would be unity. We also consider several robustness checks.

Before turning to our own results, it is well to have in mind how the HOV model has fared under these tests in prior work. Results from the most relevant studies are summarized in Table 3. The results lend themselves to a simple bottom line: All prior studies on international data have failed disastrously by at least one of these measures.

We now turn to tests of our various production and trade specifications.