Trade and Employment From Myths to Facts - International Labour ...
Trade and Employment From Myths to Facts - International Labour ...
Trade and Employment From Myths to Facts - International Labour ...
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<strong>Trade</strong> <strong>and</strong> <strong>Employment</strong>: <strong>From</strong> <strong>Myths</strong> <strong>to</strong> <strong>Facts</strong><br />
2005). 13 Indeed, why countries seem <strong>to</strong> believe that it is optimal <strong>to</strong> protect their<br />
low-skilled workers has been noted as a major “puzzle” by Hoekman <strong>and</strong> Winters<br />
(2005). Doing so effectively forces them <strong>to</strong> produce the “wrong” goods <strong>and</strong>, furthermore,<br />
effectively “protects” them from productivity-enhancing investment.<br />
3.2.3 Which methodology?<br />
In the context of the modern globalized economy, <strong>to</strong>p-down planning in the traditional<br />
sense may be a lost art (Gibson, 2008a). Davidson <strong>and</strong> Matusz’s (2010)<br />
abovementioned work on trade with equilibrium unemployment, however, describes<br />
a more bot<strong>to</strong>m-up approach. Models should be constructed with clear attention <strong>to</strong><br />
the incentives <strong>and</strong> constraints a microeconomic agent faces. Policy can then be designed<br />
around these incentives <strong>and</strong> constraints rather than reacting <strong>to</strong> the macro-level<br />
properties that the interaction of the agents creates.<br />
One of the major challenges economists face when building relevant models,<br />
<strong>and</strong> subsequently trying <strong>to</strong> assess the employment impact of trade, is <strong>to</strong> control for<br />
the impact of other variables on employment <strong>and</strong> <strong>to</strong> establish that observed changes<br />
in trade flows or policy have actually caused changes in employment. Indeed, much<br />
of st<strong>and</strong>ard macroeconomic empirical work of the post-war period, for example, has<br />
been subjected <strong>to</strong> the debilitating criticism that all macroeconomic variables tend<br />
<strong>to</strong> be correlated over time <strong>and</strong> thus imputed causality of established studies is in<br />
fact only a correlation.<br />
The gold st<strong>and</strong>ard for distinguishing causality from correlation is the so-called<br />
r<strong>and</strong>omized controlled trial. In this procedure, subjects are r<strong>and</strong>omly allocated <strong>to</strong><br />
either a “treatment” or “control” group. The key is that they are r<strong>and</strong>omly assigned<br />
<strong>and</strong> the resulting samples are statistically equivalent. This does not imply that samples<br />
are exactly the same, only that the reasons they differ are purely r<strong>and</strong>om. The “treatment”<br />
sample is then exposed <strong>to</strong> the shock that is the subject of analysis. For the<br />
purpose of this chapter, the shock would be a change in trade policy. If the pro<strong>to</strong>col<br />
is observed, no sophisticated statistical processing is then required <strong>to</strong> assess the employment<br />
effect of a change in trade policy. One would only need <strong>to</strong> calculate the<br />
employment level in the treatment cohort <strong>and</strong> compare it with that of the control<br />
group. It is not straightforward <strong>to</strong> artificially construct r<strong>and</strong>omized controlled trials.<br />
But social scientists sometimes benefit from so-called “natural experiments”, ones<br />
13 Imperfectly competitive product markets might well enhance the adjustment process <strong>and</strong> produce<br />
as a by-product even more wage inequality. Harrison <strong>and</strong> Hanson (1999) <strong>and</strong> Currie <strong>and</strong> Harrison<br />
(1997) note that firms may well reduce their profit margins <strong>to</strong> establish themselves in the global<br />
market. Firms may also hoard labour if forecast growth is strong <strong>and</strong> they are investing in more<br />
productive capital equipment. Artificial wage differentials are another matter. If the public sec<strong>to</strong>r<br />
promotes wage differentials that would not be validated by the private market, serious dis<strong>to</strong>rtions<br />
may result. Paraguay’s policy of subsidizing tertiary education <strong>and</strong> then finding it necessary <strong>to</strong> provide<br />
public-sec<strong>to</strong>r employment for graduates is a classic <strong>and</strong> unfortunate example. Wage differentials<br />
that arise in this way cannot be defended as a normal market-signalling mechanism, indeed, quite<br />
the reverse.<br />
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