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Trade Adjustment Costs in Developing Countries: - World Bank ...

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30Carl Davidson and Steven Matuszwhere Y(t) is the aggregate value of gross output at time t and C(t) is aggregatetra<strong>in</strong><strong>in</strong>g cost.Equation (14) takes a different form to (13), because we are allow<strong>in</strong>g the distributionof employment to change along the adjustment path <strong>in</strong> (14), but not <strong>in</strong>(13). Note that the relative simplicity of the model permits us to trace out the entireadjustment path and calculate (14).The actual ga<strong>in</strong> from trade reform is W A –W TD (). <strong>Adjustment</strong> costs (AC) representthe gap between the potential ga<strong>in</strong> and the actual ga<strong>in</strong>:2.4 Numeric implementationWe need a few key parameters to use this model to evaluate numerically the adjustmentcosts of reform. One key parameter is b, the job breakup rate. The theoretical<strong>in</strong>terpretation of this parameter matches up well with the measures of jobdestruction orig<strong>in</strong>ally conceived and calculated by Davis et al. (1996) for theUnited States. Moreover, s<strong>in</strong>ce their sem<strong>in</strong>al work, many researchers have followedsuit and calculated job destruction rates for many countries, <strong>in</strong>clud<strong>in</strong>g theUnited K<strong>in</strong>gdom (Kon<strong>in</strong>gs 1995); Poland (Kon<strong>in</strong>gs et al. 1996); Norway, (Kletteand Mathiassen 1996); Canada (Baldw<strong>in</strong> et al. 1998); Bulgaria, Hungary, and Romania(Bilsen and Kon<strong>in</strong>gs, 1998); Slovenia (Bojnec and Kon<strong>in</strong>gs 1999); Russia(Brown and Earle 2002); Estonia (Haltiwanger and Vodopivec 2002); and Ukra<strong>in</strong>e(Kon<strong>in</strong>gs et al. 2003).The other key parameter, the job acquisition rate (e) is more difficult to p<strong>in</strong>down. This is not closely related to the job creation measures of Davis et al.(1996). The basic difference is that their measure is a rate based on firm-levelemployment, whereas the theory calls for a rate based on sector-specific unemployment.One way around this is to note that the <strong>in</strong>verse of this measure is theaverage duration of a spell of unemployment, which is clearly observable at thelevel of the economy. However, we need this measure to be sector-specific, andthat might be problematic.Other parameters <strong>in</strong>clude the time and resource costs of tra<strong>in</strong><strong>in</strong>g, as well as theprobability that a worker needs to retra<strong>in</strong> after los<strong>in</strong>g their job. There exists atleast some research touch<strong>in</strong>g on these issues. The f<strong>in</strong>al set of parameters <strong>in</strong>cludespreference parameters, the discount rate, and the parameters of the technology(determ<strong>in</strong><strong>in</strong>g the equilibrium wage rates). All of these can be set so that the result<strong>in</strong>gequilibrium matches up well with what a real economy might look like.Us<strong>in</strong>g parameter estimates from the literature (where available), and choos<strong>in</strong>gother values that seemed sensible when they were not available from the literature,we undertook a thought experiment where a ‘low-tech’ sector where workerscould tra<strong>in</strong> very quickly without any resource costs and move straight fromtra<strong>in</strong><strong>in</strong>g <strong>in</strong>to a job was <strong>in</strong>itially protected by a 5 per cent import tariff. We then

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