Panel Paper:
Migrating Alone: A Time Series Analysis of Unaccompanied Child Migration and the Association to Adult Migration Patterns
*Names in bold indicate Presenter
Understanding why unaccompanied children migrate, and whether immigration policies specific to minors such as DACA increase illegal child migration flows, is important for U.S. immigration policy to be effective and efficient. This project utilizes a time series approach with a temporal distinction pre and post the 2014 surge, to conclude that other immigrants and UAMs are much more strongly associated post-2014 surge. These finding suggest that the mechanisms affecting migration flows during the 2014-2017 period were driving adults and children alike. Because adults would receive no benefit out of the DACA policy, the findings counters the suggested pull-factor theory based on DACA being responsible for the 2014 surge. In other words, if DACA were the pull factor increasing UAM migration then we would expect a weak association between the time series starting in 2014. By comparing the relationship between migration flows of unaccompanied minors (UAM) and other immigrants, this project is unique in comparing types of apprehensions and considering immigration flows across relatively unstudied identities, while pushing the literature by utilizing a time series approach that includes more periods than the current literature.