The Other Side of the Coin: The Effects of Anti-Dumping Duties on Brazilian Firms and Workers.


This paper estimates the effects of Anti-dumping duties on targeted Brazilian firms’ employment level, export revenue and average wages from 1989 to 2001. I construct a propensity score and mixed panel methodology and find that Anti-dumping duties diminish the average wages and the export revenue of these firms. On the other hand, I find no significant effect on the employment level. I proposed that these targeted firms decrease the skilled level of their worked force, which is showed in both a decrease in the ratio of their export revenue over the total wages and the decrease of average wages.

End of trade: Brazilian exports under Anti-Dumping


This paper studies the effects of Antidumping (AD) duties imposed on Brazilian firms during the period of 1989 to 2001. By conducting a survival analysis methodology, I find that these duties increase the risk of targeted products to exit their destination market in 33% during the investigation phase and after final AD duties are imposed, the risk of exiting the market increase in an extra 10%. In the majority of cases, AD duties completely terminate the trade relation between the firm and the imposing country. I also find that AD duties are set on larger firms and on products that are less likely to leave the market if no duties were imposed. The level of observation of this study relies on observing country of destination-firm-product specific relation between the export data and the AD investigation. 

Work in Progress

How agglomeration economies affect firm productivity in Brazil?.


The paper propose that wage differentials between cities play a crucial role in Brazilian workers' decisions to locate in larger urban centers as opposed to smaller ones. While extensive empirical research on this topic exists for developed countries, the lack of comparable data for developing nations has limited research in this context. I use administrative Brazilian employer-employee matched dataset between 1986 to 2016 to answer that question.