Do conditional cash transfers influence migration? A study using experimental data from the Mexican progresa program

Prior research on Mexican migration has shown that social networks and economic incentives play an important role in determining migration outcomes. We use experimental data from PROGRESA, Mexico's primary poverty-reduction program, to evaluate the effects of conditional cash transfers on migration both domestically and to the United States. Our study complements a growing body of literature aimed at overcoming longstanding hurdles to the establishment of causal validity in empirical studies of migration. Analysis based on the data collected before and after the program's onset shows that conditional transfers reduce U.S. migration but not domestic migration. The data also enable us to explore the role of existing family and community migration networks. The results show that migration networks strongly influence migration, but that the effect of conditional transfers on migration is apparently not mediated by existing migration network structures. Our results suggest that conditional transfers may be helpful in managing rural out-migration, particularly to the United States.     

Evaluating the impact of conditional cash transfer programs on fertility: the case of the Red de Protección Social in Nicaragua

Evaluating the impact of poverty-reduction programs on fertility is complicated given that changes in incentives to have children take time to be incorporated into decision making and evaluation periods are usually quite brief. We explore the use of birth spacing as a short-run indicator of the impact of poverty-reduction programs on fertility. The data come from a Nicaraguan conditional cash transfer program that offers incentives for poor households to invest in children’s health, nutrition, and education. We estimate a stratified Cox proportional hazard model and find that the program decreased the hazard of a birth, indicating an increase in birth spacing.     

Evaluating the impact of conditional cash transfer programs on fertility: the case of the Red de Protección Social in Nicaragua

Evaluating the impact of poverty-reduction programs on fertility is complicated given that changes in incentives to have children take time to be incorporated into decision making and evaluation periods are usually quite brief. We explore the use of birth spacing as a short-run indicator of the impact of poverty-reduction programs on fertility. The data come from a Nicaraguan conditional cash transfer program that offers incentives for poor households to invest in children??s health, nutrition, and education. We estimate a stratified Cox proportional hazard model and find that the program decreased the hazard of a birth, indicating an increase in birth spacing.     

Unintended effects of poverty programmes on childbearing in less developed countries: experimental evidence from Latin America

Because conditional cash transfer (CCT) programmes (which make payments to poor households, conditional on their behaviour) potentially affect both household resource levels and parental preferences for quality vs. quantity of children, they may have unintended consequences for fertility. We use panel data from experimental CCT programmes in three Latin American countries to assess the unintended impact of these programmes on childbearing. Our findings, based on difference-in-difference models, show that the programme in Honduras, which inadvertently created large incentives for childbearing, may have raised fertility by between 2 and 4 percentage points. The CCT programmes in the two other countries, Mexico and Nicaragua, did not have the same unintended incentives for childbearing, and in these countries we found no net impact on fertility. Subsequent analysis examined several potential mechanisms by which fertility in Honduras may have been raised but was not able to identify a primary mechanism with the available data.     

The economic boundaries of kinship in Côte d'Ivoire

The purpose of this article is to explore the patterns of economicsupport between kin in Côte d'Ivoire. The nuclear family has been dismissed as a meaningful unit within the corporate extended kinship structure of West Africa. Furthermore, extended kinship has been seen as an important support for high fertility since the costs of childbearing are shared within a wider kinship group and not fully absorbed by the biological parents. Extended kinship patterns are also thought to greatly facilitate informal insurance markets. However, data on economic transfers between kin in Côte d'Ivoire show a surprising but clear picture: kinship support in Côte d'Ivoire is primarily focused on close kin (parents, children and siblings). This pattern of kinship nucleation appears to intensify for richer households, despite controls for education, residency, nationality, and household size. The limited, cross-sectional perspective suggests that development is not working so much within the existing family structure but rather is operating to transform the ties between kin.     

Long‐Range Population Projections Made Simple

Recent developments in mathematical demography offer a new, simple means of producing long‐range population projections. The well‐known extant such projections, produced by the United Nations, the World Bank, and the International Institute for Applied Systems Analysis, rely on elaborate cohort‐component projection methods that require a large number of detailed assumptions and are difficult to replicate. Building upon recent results in the formal demography of nonstable populations, the authors show that analytic methods produce estimates of future population size very similar to those obtained through traditional methods. Simplicity is a virtue in making projections, allowing sensitivity tests of assumptions and avoiding the misleading impression of precision associated with more complicated methods. Cohort‐component methods should still be used for short‐ and medium‐term forecasts and projections. For the long term, however, analytic methods should supplement or even replace traditional projections.     

Unintended effects of poverty programmes on childbearing in less developed countries: Experimental evidence from Latin America

Because conditional cash transfer (CCT) programmes (which make payments to poor households, conditional on their behaviour) potentially affect both household resource levels and parental preferences for quality vs. quantity of children, they may have unintended consequences for fertility. We use panel data from experimental CCT programmes in three Latin American countries to assess the unintended impact of these programmes on childbearing. Our findings, based on difference-in-difference models, show that the programme in Honduras, which inadvertently created large incentives for childbearing, may have raised fertility by between 2 and 4 percentage points. The CCT programmes in the two other countries, Mexico and Nicaragua, did not have the same unintended incentives for childbearing, and in these countries we found no net impact on fertility. Subsequent analysis examined several potential mechanisms by which fertility in Honduras may have been raised but was not able to identify a primary mechanism with the available data.     

Gender and migration from Albania

This article examines the dynamics and causes of the shift in the gender composition of migration, and more particularly, in women’s access to migration opportunities and decision-making. Our analysis focuses on Albania, a natural laboratory for studying international migration where out-migration was essentially nonexistent from the end of World War II to the end of the 1980s. Interest in the Albanian case is heightened because of the complex layers of inequality existing at the time when migration began: relatively low levels of inequality within the labor market and educational system—a product of the Communist era—while household relations remained heavily steeped in tradition and patriarchy. We use micro-level data from the Albania 2005 Living Standards Measurement Study, including migration histories for family members since migration began. Based on discrete-time hazard models, the analysis shows a dramatic increase in male migration and a gradual and uneven expansion of the female proportion of this international migration. Female migration, which is shown to be strongly associated with education, wealth, and social capital, appears responsive to economic incentives and constraints. Using information on the dependency of female migration to the household demographic structure as well as the sensitivity of female migration to household-level shocks, we show how household-level constraints and incentives affect male and female migration differently. Throughout this period, however, women’s migration behavior appears more directly aligned with household-level factors, and there is little evidence to suggest that increased female migration signals rising behavioral independence among Albanian women.     

Household Structure and Short‐Run Economic Change in Nicaragua

During the economic crises Nicaragua suffered between 2000 and 2002, a conditional cash transfer program targeting poor households began operating. Using panel data on 1,397 households from the program's experimentally designed evaluation, we examined the impact of the program on household structure. Our findings suggest that the program enabled households to avoid reagglomeration during the economic crises, with households in control communities growing more than treated households. These changes were driven primarily by shifts in residence of relatively young men and women with close kinship ties to the household head. In contrast, households that received transfers continued to send off young adult members, suggesting that the program provided resources to overcome the short‐term economic pressures on household structure.     

A test of the stranger-interviewer norm in the Dominican Republic

We offer the first empirical test of the ‘stranger-interviewer norm’, according to which interviewers in social, demographic, and health surveys should be strangers—not personally familiar with respondents. We use data from an experimental survey in the Dominican Republic that featured three types of interviewer: from out of town (outsiders); local but unknown to the respondent (local-strangers); and local with a previous relationship to the respondent (insiders). We were able to validate answers to up to 18 questions per respondent, mainly by checking official documents in their possession. Contrary to expectations derived from the stranger-interviewer norm, respondents were more reluctant to show the documents needed for validation when the interviewer was an outsider. Furthermore, and again at odds with the stranger-interviewer norm, we found no difference in accuracy by type of interviewer. Our results have important implications for the selection of survey interviewers in less developed and non-Western settings.