Placement Gabriela Miyazato Szini: Tilburg University

Currently, Gabriela is a PhD candidate in Econometrics at the University of Amsterdam and Tinbergen Institute under the supervision of TI research fellows Frank Kleibergen and Arturas Juodis (University of Amsterdam).

Gabriela’s research focuses on proposing estimation methods for sparse networks (where only a few nodes in a network are connected).

In her job market paper she proposes an estimator for distribution regression models under a networks framework (taken into account through a dyadic setting). She shows that this estimator is asymptotically unbiased even in the presence of sparse networks, and also in the extremum quantiles of the distribution of the outcome of interest. This method is applicable to the estimation of international trade flows, firm-level trade flows, and any other network data in which the outcomes are formed through bilateral ties of agents

Gabriela is a Tinbergen Institute research master alumna (2020).

Link to personal website: gabrielaszini.github.io/.