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Trade and Employment From Myths to Facts - International Labour ...

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Chapter 3: Assessing the impact of trade on employment: Methods of analysis<br />

adjustment assistance. Indeed, CGE models are all but blind <strong>to</strong> any but the largest<br />

contribu<strong>to</strong>rs <strong>to</strong> GDP. The general rule of thumb is that sec<strong>to</strong>rs smaller than “1 per<br />

cent of GDP” do not matter <strong>and</strong> show up only as rounding error. The 1 per cent<br />

rule is hardly an adequate foundation on which <strong>to</strong> make policy except at the most<br />

aggregate level. In this important sense, partial <strong>and</strong> CGE models do not directly<br />

compete with but rather complement each other in any comprehensive policy<br />

analysis.<br />

The large-scale optics of CGE models are made worse by the tendency of<br />

some modellers <strong>to</strong> regard their code as a commercial secret. There are two levels<br />

on which modellers can infringe. The first, mentioned by Hammouda <strong>and</strong> Osakwe<br />

(2006), is the obscurity with which model equations are described. Sensitivity testing<br />

of key assumptions is lacking <strong>to</strong>o frequently, although in much of the professional<br />

literature it has become practically a requirement <strong>to</strong> post data <strong>and</strong> models on one’s<br />

web page for replication purposes. In the case of some of the large CGE models,<br />

this certainly can present a practical problem.<br />

Critics also complain that authors seem <strong>to</strong> be devoted <strong>to</strong> discussing the specific<br />

equations of their work without giving an overview of how the equations interact<br />

so that model results can be compared across various modelling approaches. For<br />

this reason, meta-studies are rare <strong>and</strong> not always of high value. The authors of the<br />

commer cially available MIRAGE model, for a particularly egregious example, do<br />

not even supply a listing of their code, creating a box that is truly black.<br />

As suggested above, data requirements of CGE are very different from those<br />

that feed econometric models. In addition <strong>to</strong> a base SAM, st<strong>and</strong>ard CGE models<br />

require elasticities of substitution between labour <strong>and</strong> capital, the income <strong>and</strong> price<br />

elasticities of household consumption dem<strong>and</strong>, the elasticity of substitution for<br />

the Arming<strong>to</strong>n <strong>and</strong> an elasticity of transformation. These four key sets of elasticities<br />

cannot be estimated directly from the SAM <strong>and</strong> must, therefore, be derived from<br />

econometric or other sources (Sadoulet <strong>and</strong> de Janvry, 1995). 43<br />

3.4 ASSESSING THE EMPLOYMENT IMPACTS OF TRADE:<br />

ECONOMETRIC METHODS<br />

Just articulating the nature of the problem that econometrics is designed <strong>to</strong> tackle<br />

unveils the difficulty in testing the hypothesis that trade liberalization causes employment<br />

<strong>to</strong> rise. The first problem that has plagued all econometric research is the<br />

nature of the subject. In principle, the subject should be an individual agent, rather<br />

than a country. Were all countries of the same size, it would be possible <strong>to</strong> renormalize<br />

43 “Other sources” include “guesstimation”, i.e. educated guesses, but as Sadoulet <strong>and</strong> de Janvry<br />

(1995, p. 354) point out, “luckily, experience has shown that the empirical results obtained from<br />

simulations with CGEs are quite insensitive <strong>to</strong> specific values of all these elasticities ...”. They go on<br />

<strong>to</strong> identify the Arming<strong>to</strong>n as one of the crucial parameters for which the proper “order of magnitude”<br />

must be obtained.<br />

103

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