Análise fundamentalista de Norte Energia S.A.
31/12/2023
Bruno da Silva Martins.
Orientador: Eduardo Oliveira Marinho.
Aqui você encontra as teses e dissertações defendidas, textos para discussão e produção acadêmica e de opinião de professores e alunos do Departamento de Economia.
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31/12/2023
Bruno da Silva Martins.
Orientador: Eduardo Oliveira Marinho.
01/12/2023
João Pedro von Studnitz Araujo.
Orientador: Maria Cláudia Gomes Pereira Sarmiento Gutierrez.
01/12/2023
Vitor Gonçalves Affonso.
Orientador: Eduardo Oliveira Marinho.
30/11/2023
João Pedro Jardim Lima.
Orientador: André Senna Duarte.
30/11/2023
Alessandro Jatahy Giuliodori.
Orientador: Eduardo Oliveira Marinho.
30/11/2023
Bruno Mello Alves.
Orientador: Sergio Besserman Vianna.
30/11/2023
Eduardo Landau.
Orientador: André Senna Duarte.
30/11/2023
Felipe Queiroz de Carvalho.
Orientador: Yvan Becard.
30/11/2023
João Guilherme Mansur Moreira Alves.
Orientador: Antonio Carlos Figueiredo.
30/11/2023
Rafael Cialdini Bastos Pinto.
Orientador: Sergio Besserman Vianna.
30/11/2023
William Lee.
Orientador: Maria Cláudia Gomes Pereira Sarmiento Gutierrez.
29/11/2023
João Marcos Carvalho Guimarães.
Orientador: André Senna Duarte.
AEJ Macroeconomics, v. 15,
p. 466-505, 2023
We propose a model that reconciles microeconomic evidence of frequent and large price changes with sizable monetary non-neutrality. Firms incur separate lump-sum costs to change prices and to gather and process some information about marginal costs. Additional relevant information is continuously available, and can be factored into pricing decisions at no cost. We estimate the model by Simulated Method of Moments, using price-setting statistics for the U.S. economy. The model with free idiosyncratic and costly aggregate information fits well both targeted and untargeted microeconomic moments and generates more than twice as much monetary non-neutrality as the Calvo model.
Carlos Viana de Carvalho, Marco Bonomo, Rene Garcia, Vivian Malta Nunes, Rodolfo Dinis Rigato.
Proceedings of the National Academy of Sciences (PNAS), v. 120, 2023
The Amazon rainforests have been undergoing unprecedented levels of human-induced
disturbances. In addition to local impacts, such changes are likely to cascade following
the eastern–western atmospheric flow generated by trade winds. We propose a model of
spatial and temporal interactions created by this flow to estimate the spread of effects
from local disturbances to downwind locations along atmospheric trajectories. The
spatial component captures cascading effects propagated by neighboring regions, while
the temporal component captures the persistence of local disturbances. Importantly, all
these network effects can be described by a single matrix, acting as a spatial multiplier
that amplifies local forest disturbances. This matrix holds practical implications for
policymakers as they can use it to easily map where the damage of an initial forest
disturbance is amplified and propagated to. We identify regions that are likely to cause
the largest impact throughout the basin and those that are the most vulnerable to shocks
caused by remote deforestation. On average, the presence of cascading effects mediated
by winds in the Amazon doubles the impact of an initial damage. However, there is
heterogeneity in this impact. While damage in some regions does not propagate, in
others, amplification can reach 250%. Since we only account for spillovers mediated
by winds, our multiplier of 2 should be seen as a lower bound
Juliano Assunção, José A. Scheinkman , Rafael Araujo, Marina Hirota.
10/11/2023
We estimate the impacts of job loss on individuals’ labor and credit market outcomes, exploiting detailed individual-level administrative data linking employment and credit histories. Leveraging mass layoffs for identification, we find job loss leads to sizable and pervasive declines in wages, future employment probabilities, and spending. We document evidence consistent with declining credit access following job loss, limiting workers’ ability to partially selfinsure their losses. Facing limited options for managing liquidity, workers, on average, resort more to not paying their credit card balances in full to finance consumption. The findings point that the costs of job loss may be further amplified in a developing country due to comparatively less developed credit markets. In addition, we benefit from the quasi-experimental variation provided by mass layoffs to study the behavior of job stayers, who would possibly perceive heightened income uncertainty. We document this group faces actual increased layoff risk, and those who do not exhibit hand-to-mouth behavior cut down spending in the aftermath of mass layoffs in their firms.
Natália Rodrigues Corado.
Orientador: Carlos Viana de Carvalho.
Co-orientador: Gustavo Gonzaga.
Banca: Cezar Santos. Joana Naritomi.
31/10/2023
Plínio Simões Barbosa Filho.
Orientador: Stefan Alexander.