Determinants of migration decisions
Rational inattention and migration decisions - The course introduces the students to discrete choice models with costly information acquisition. These models can be used to obtain micro-foundation of the migration gravity equations that can be brought to the data, and they offer an alternative to the canonical full-information random utility maximization models à la McFadden that are typically relied upon in the migration literature. This alternative micro-foundation is consistent with the uncertainty that migrants face with respect to the attractiveness of the various alternatives, and it allows interpreting systematic heterogeneities in the pro-cyclical character of bilateral migration flows from different origins that are uncovered in the data.
Crossing Borders at a Glance : Interview of Prof. Simone Bertoli
About the doctoral lecture series on cross-border labour mobility
Migration is part of humanity’s DNA. It has always been a normal and inevitable response to the economic, social, political, security and environmental challenges that have punctuated human history. Yet, workers’ mobility in general and international migration in particular are issues that divide public opinion in every country in the world.
This PhD course is jointly organized by LISER and CREA (University of Luxembourg) and is part of the MINLAB doctoral program on migration, labor and inequality funded by the FNR (PRIDE program). It covers topical issues related to the determinants of international migration, to its implications for sending and receiving countries, and to its effect on the world distribution of income.
It is organized as a set of monthly doctoral lectures given by renowned economists. Each speaker will provide a state-of-the-art analysis of existing methodologies and academic findings in his field of expertise. Upon completion of this course, student will have learnt about the cutting-edge developments in the migration literature and will be asked to write an essay on one of the topics covered.