Julia Fonseca
University of Illinois at Urbana–Champaign
6 Papers
9 Citations
Julia Fonseca is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Credit score & Debt. The author has an hindex of 3, co-authored 6 publications. Previous affiliations of Julia Fonseca include Princeton University.
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Papers
Financial development and labor market outcomes: Evidence from Brazil
TL;DR: In this article, the effect of increased access to bank credit on the employment and wages of high-and low-skilled workers was investigated in Brazil and the authors found that the credit expansion led to an increase in the skill intensity of firms and in within-firm returns to skill and to a reallocation of skilled labor from financially unconstrained firms to constrained firms.
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Benchmarking Machine-Learning Software and Hardware for Quantitative Economics
TL;DR: It is shown that specialized hardware and software speed up calculations by up to four orders of magnitude when compared to programs written in popular high-level programming languages, and high-performing low-level languages such as C++.
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Access to credit and financial health: evaluating the impact of debt collection
TL;DR: This paper conducted an empirical analysis of the effect of debt collection on consumer credit and on indicators of financial health, employing individual credit record data and a difference-in-differences research design.
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Financial Development and Labor Markets: evidence from Brazil
TL;DR: In this paper, the authors consider a bankruptcy reform that increased the legal protections of secured creditors, which led to an expansion of bank credit to Brazilian firms and observe an increase in wages, with gains concentrated on skilled workers and on workers who were employed at constrained firms prior to the reform.
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Access to credit and financial health: evaluating the impact of debt collection
TL;DR: This article conducted an empirical analysis of the effect of debt collection on consumer credit and on indicators of financial health, employing individual credit record data and a difference-in-differences research design.
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