Objective:

To estimate the labor vulnerability of Mexican farmworkers who work in agro-export crops.

Methodology:

A feasible generalized least squares model and a Poisson model were estimated, considering cumulative disadvantages (i.e., ethnicity, gender, and low schooling) as determinants.

Results:

It is found that women and men farmworkers with low schooling tend to have greater labor vulnerability; and those who work with formal growers tend to have greater risks of earning low wages; and those who work with informal growers tend to have risks of suffering worse labor conditions.

Limitations:

Vulnerability estimates are made on a single period, which could question the statistical validity if there were autocorrelation, although there are not clues about this.

Conclusions:

The fact of being a woman and having low schooling operate as a disadvantage in the face of the risks of labor vulnerability in farmworkers in agro-export crops, so estimating vulnerability can be the first step for establishing a public policy aimed to mitigate it.

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