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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 />

… while, under some circumstances, trade liberalization can reduce informality<br />

When examining how trade liberalization affects informality in Mexico, Aleman-<br />

Castilla (2006), broadly following the Goldberg-Pavcnik (2003) methodology, finds<br />

that industries that were more exposed <strong>to</strong> trade saw higher increases in the rate of<br />

formality. The author argues that the impact on product prices was minor, while the<br />

reduction in import prices raised the productivity of the tradables sec<strong>to</strong>r <strong>and</strong>, hence,<br />

exp<strong>and</strong>ed the dem<strong>and</strong> for formal labour overall. The results are based on data for<br />

the period 1988–2002 <strong>and</strong> the study focuses on trade liberalization under NAFTA.<br />

Aleman-Castilla models the decision process of firms facing the option of producing<br />

either in the formal or the informal sec<strong>to</strong>r. Secondly, the author incorporates a framework<br />

that explains how trade liberalization affects the performance of firms. And<br />

thirdly, these two points have been put <strong>to</strong>gether. The author uses a dynamic industry<br />

model with firm heterogeneity similar <strong>to</strong> that used by Melitz (2003) <strong>to</strong> describe the<br />

way in which trade liberalization could affect the rate of informality. The original<br />

model shows how exposure <strong>to</strong> trade induces only the more productive firms <strong>to</strong> export<br />

while simultaneously forcing the least productive firms <strong>to</strong> exit. Both the exit of the<br />

least productive firms <strong>and</strong> the additional export sales gained by the more productive<br />

firms reallocate market shares <strong>to</strong>wards the more productive firms <strong>and</strong> contribute <strong>to</strong><br />

an aggregate productivity increase. Profits are also reallocated <strong>to</strong>wards more productive<br />

firms.<br />

Box 4-3: Individual characteristics of informal workers<br />

Apart from providing estimates of industry informality differentials, the first stage estimation<br />

of Aleman-Castilla (2006) is also useful <strong>to</strong> study the determinants of informal<br />

labour at the individual level. As expected from the human capital theory, the probability<br />

of being informal decreases with years of experience <strong>and</strong> schooling. It is also<br />

lower for married workers, but not for those cohabitating with a partner without being<br />

married. Males seem <strong>to</strong> be more likely <strong>to</strong> be informal than females. This result does<br />

not seem <strong>to</strong> support what Roberts (1989) finds for the labour market of Guadalajara,<br />

Mexico, but is consistent with Goldberg <strong>and</strong> Pavcnik’s (2003) findings for Colombia.<br />

Within a household, the likelihood of informality is significantly lower for the first<br />

provider of income <strong>and</strong> significantly higher for the second provider, which supports<br />

the results of Roberts (1989) <strong>and</strong> Maloney (1999). The findings are reasonable considering<br />

that, as found by Roberts <strong>and</strong> argued by Maloney, the deductions made for<br />

social welfare in formal employment are perceived as a disadvantage by many workers.<br />

Since social welfare in Mexico normally covers not only the worker but his family as<br />

well, there is no benefit for the second provider of income <strong>to</strong> work in the formal<br />

sec<strong>to</strong>r <strong>and</strong> pay the welfare deductions <strong>to</strong> get his or her own social insurance.<br />

The findings from Aleman-Castilla (2006) reveal interesting results regarding<br />

the geographic characteristics of informality. The probability of informality varies significantly<br />

across cities. The probability of informality appears <strong>to</strong> be positively<br />

correlated with the population of the city where the worker lives, 5 <strong>and</strong> also with the<br />

5 More precisely, the natural logarithm of the population.<br />

144

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