Volume 43, Number 171,
October-December 2012
Maquiladora Factories and Household
Income in Yucatan
Javier Becerril, Rafael Ortiz and Lilian Albornoz

In the analytical tools section, it was mentioned that the first step to evaluate the impact is to calculate the Propensity Score or parameters of a dichotomic regression model, in this case, a logistic model or logit. Table 7 reports the parameters for socioeconomic factors, the profile of the individuals and characteristics of their households, which explain the probability of working for the maquiladora export industry. The majority of the variables produced the expected results in keeping with economic theory and are highly significant, which demonstrates that the model is robust. Once the Propensity Score is calculated, we proceeded to evaluate the impacts using the nnm and kbm algorithms to match the individuals working for an mei (treatment) with those that did not (control). This is reported in Table 8.

The first set of variables regarding the profile of individuals is highly significant and had the expected sign: Sex (sex), Age (age), and Education (edu) can be corroborated with the economic theory and what has been reported in literature. For example, the coefficient for the education variable has the expected sign and is statistically significant, coinciding with arguments from Yúnez et al. (2011) regarding the economic transformation of the territory characterized by the change in relative weight of the different sources of income for its residents and demographic differentiation in employment for the workforce, explained in large part by greater education of young people. On the other hand, the age coefficient also had the expected sign and coincides with findings from Castilla and Torres (2009), for whom the majority of maquiladora factories chose to hire young men and women.

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PROBLEMAS DEL DESARROLLO. REVISTA LATINOAMERICANA DE ECONOMÍA, Volume 49, Number 194 July-September 2018 is a quarterly publication by the Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, CP 04510, México, D.F. by Instituto de Investigaciones Económicas, Circuito Mario de la Cueva, Ciudad Universitaria, Coyoacán,
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