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In this paper we examine the circumstances and determinants of female migration between Mexico and the United States. Using data from the Mexican Migration Project, we considered the relative timing of males' and females' moves northward. We then estimated logit and probit models to study the determinants of male and female out-migration; among women we also estimated a multinomial logit model to uncover differences in the process of migration for work versus not for work. We found that women almost always followed other family members, either the husband or a parent; only a tiny minority initiated migration independently. Although males also are quite likely to be introduced to migration by a parent, nearly half of all male migrants left for the United States before or without a wife or a parent. Estimates of the determinants of migration suggested that males move for employment, whereas wives generally are motivated by family reasons. Daughters, however, display a greater propensity to move for work, and the determinants of their work-related moves closely resemble those of sons and fathers.

We examine the effect of the Immigration Reform and Control Act (IRCA) on migrants' wages using data gathered in 39 Mexican communities and their U.S. destination areas. We examine changes in the determinants of wages before and after the passage of IRCA, as well as the effects of its massive legalization program. Migrants' wages deteriorated steadily between 1970 and 1995, but IRCA did not foment discrimination against Mexican workers per se. Rather, it appears to have encouraged greater discrimination against undocumented migrants, with employers passing the costs and risks of unauthorized hiring on to the workers. Although available data do not permit us to eliminate competing explanations entirely, limited controls suggest that the post-IRCA wage penalty against undocumented migrants did not stem from an expansion of the immigrant labor supply, an increase in the use of labor subcontracting, or a deterioration of the U.S. labor market.

We specify a set of equations defining a dynamic model of international migration and estimate its parameters by using data specially collected in Mexico. We then used it to project the a hypothetical Mexican community population forward in time. Beginning with a stable population of 10,000 people, we project ahead 50 years under three different assumptions: no international migration; constant probabilities of in- and out-migration, and dynamic schedules of out- and in-migration that change as migratory experience accumulates. This exercise represents an attempt to model the self-feeding character of international migration noted by prior observers and theorists. Our model quantifies the mechanisms of cumulative causation predicted by social capital theory and illustrates the shortcomings of standard projection methodologies. The failure to model dynamically changing migration schedules yields a 5% overstatement of the projected size of the Mexican population after 50 years, an 11% understatement of the total number of U.S. migrants, a 15% understatement of the prevalence of U.S. migratory experience in the Mexican population, and an 85% understatement of the size of the Mexican population living in the United States.

Using a new source of data, we estimate the probability of apprehension among Mexican migrants attempting to cross into the United States without documents. Over the period 1965-1989 we found an average apprehension probability of .35, confirming earlier estimates. We then applied annual probabilities to estimate the gross volume of undocumented Mexican migration and adjusted these figures to derive estimates of the net undocumented inflow.