Migration and Co-Residence Choices: Evidence from Mexico

New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration

“…The use of stated preferences or contingent valuation surveys to estimate migration aspirations can be criticized (Clemens and Pritchett, 2019). However, it allows us to avoid dealing with attrition and household recomposition issues that are inherent in micro studies (Foster and Rosenzweig, 2002;Bertoli and Murard, 2020). In addition, the recent empirical studies cited above reveal that the stated aspirations are correlated closely with the traditional determinants of migration.…”

“…From the perspective of surveys and national censuses, emigrants are demographically similar to deaths, in that they cannot be interviewed. In addition, when family members who are left behind are asked questions about relatives abroad, existing micro studies suffer from severe attrition issues among migrant households due to the fact that the remaining members are likely to have joined another household (Bertoli and Murard, 2020). For this reason, other micro studies have focused on migration aspirations, comparing individuals who want to stay in their home country with those who have not yet migrated but express a desire to move (Manchin and Orazbayev, 2014;Dustmann and Okatenko, 2014;Docquier et al, 2015;Manchin and Orazbayev, 2018;Bertoli and Ruyssen, 2018;Ruyssen and Salomone, 2018;Beine et al, 2020;Docquier et al, 2019).…”

The effect of parental migration on the schooling of children left behind in rural Cambodia

“…15 Female headship among non-migrant households is closely correlated with negative economic shocks, such as the death of, or the divorce from, a male household member (Fafchamps and Quisumbing, 2008). 16 A correlation between the occurrence of a migration episode and further variations in household composition (Bertoli and Murard, 2020) would pose a threat to the analysis, but only if new household members differ systematically with respect to the characteristics that are measured. household before migration.…”

“…This first channel could reinforce the second channel, children's work: because of adult migration, the children are likely to be more involved in family-run economic activities (Bansak and Chezum, 2009) and in household chores (McKenzie and Rapoport, 2011). This could be compensated by the change in the household composition, which often takes place after migration -left behind members start to co-reside with other family members, and can contribute to household chores (Bertoli and Murard, 2020). Third, the migration of a household member could increase the probability of future child migration, making the child's educational outcome more sensitive to the (possibly lower) returns to schooling that migrants enjoy at destination (McKenzie and Rapoport, 2011;de Brauw and Giles, 2017).…”

Segregation and internal mobility of Syrian refugees in Turkey: Evidence from mobile phone data

“…In the case of middle-or high income destinations, economic factors enter the picture as refugees cross the border and start moving within the country 1 Individual-level wealth and poverty status, for example, can be inferred from the analysis of mobile phone activity, instead of the consumption data collected through expensive household surveys (Blumenstock et al, 2015) 2 Surveys conducted at destination fail to enumerate recently arrived immigrants (Hanson, 2006). The collection of data on the migration histories of household members in the origin countries faces the challenges posed by whole household migration (Ibarraran and Lubotsky, 2007), deliberate misreporting (Hamilton and Savinar, 2015) and household dissolution (Bertoli and Murard, 2020).…”