Machine learning is a field at the intersection of statistics and computer science that uses algorithms to extract information and knowledge from data. Its applications increasingly find their way into economics, political science, and sociology. We offer a brief introduction to this vast...

We study the self-selection of migrants at crossing locations along the Mexican-U.S.border distinguished by stark differences in physiography and border enforcement intensities. Wemodel the triggers of hazardous crossings, and reveal self-selection patterns that are alternative specific:...

To evaluate the distributional impact of remittances in origin communities, prior research studied how migrants’ selectivity by wealth varies with migration prevalence in the community or prior migration experience of the individual. This study considers both patterns; it examines selectivity...

The number of human cadavers available for medical research and training, as well as organ transplantation, is limited. Researchers disagree about how to increase the number of whole-body bequeathals, citing a shortage of donations from the one group perceived as most likely to donate from...

Prior work has modeled individuals’ migration and remittance behavior separately, and reported mixed empirical support for various remittance motivations. This study offers an integrated approach, and considers migration as a mechanism for selection in a censored probit model of remittance...