I am a PhD candidate in Economics at the University of Wisconsin-Madison. My research interests include industrial organization, applied microeconomics, and household finance.
I am on the 2026-2027 job market. You can find my CV here.
Feel free to contact me at donedamittel@wisc.edu.
PhD in Economics, University of Wisconsin-Madison, 2027 (Expected)
MS in Economics, Pontifícia Universidade Católica do Rio de Janeiro - PUC-Rio (Brazil), 2019
BA in Economics, Universidade Federal do Rio Grande do Sul - UFRGS (Brazil), 2012
BA in International Relations, Universidade Federal do Rio Grande do Sul - UFRGS (Brazil), 2010
Canadian Economics Association (CEA) 2026, North American Summer Meeting of the Econometric Society (NASMES) 2026, European Association for Research in Industrial Economics (EARIE) 2026, Federal Reserve Bank of Philadelphia Conference on Auto Lending 2026
When borrowers have private information about their risk, safe borrowers can signal their type by borrowing less. Since the gain from a lower rate grows with the amount borrowed, borrowing less also weakens the incentive to search, softening competition among lenders. We measure the cost of asymmetric information, and of its interaction with search, in the Brazilian used-car loan market. Using the Central Bank of Brazil’s Credit Registry, which records repayment and the lenders each borrower contacted, we find that larger loans are riskier conditional on lenders’ information, and that borrowers who search more are riskier and pay higher rates. We estimate a model in which borrowers choose loan size and search effort given private search costs and a taste for borrowing correlated with risk. In the model, riskier borrowers are willing to accept higher rates, so they gain more from searching. We find that adverse selection has a small effect on average rates, as loan size reveals about half of borrowers’ private risk. But signaling is costly: safe borrowers take smaller loans than under public information, and therefore search less. Making types public would raise total surplus by 22 percent, but by only 1 percent with loan sizes held fixed. Holding search fixed, the gain would be about a fifth smaller.
Brazilian Econometric Society (SBE) 2023, Midwest Economics Association (MEA) 2024, International Industrial Organization Conference (IIOC) 2024
Scoring auctions featuring an upfront payment and other dimensions relevant to the seller are common in many settings. Most of the theoretical and empirical literature focuses on the private values framework, applying it especially to procurement auctions in which a measure of quality also determines the winner. We contribute to this literature by estimating scoring auctions under the common value assumption. We analyze Brazilian oil and gas auctions, in which local content features as a bid dimension, and evaluate its impact on government revenue. Change in the auction rules over time provides variation in bidder behavior, as in sales with increased local content requirements, there was a decrease in both revenue and participation. We develop and estimate a structural auction model within the mineral rights framework that includes an entry decision and bids in multiple dimensions, including a bonus and a local content percentage. Our results show that local content requirements increase costs in deep water areas by 14%. Simulating a counterfactual in which bidders are unconstrained, we conclude that these requirements reduced auction revenue in deep-water leases by 65%.
(Mis)pricing of Prepayment Risk in the Wholesale Market for Mortgages
with
Kenneth Hendricks,
John Higgins, and
Jean-François Houde (UW-Madison)
The Welfare Impact of the Brazilian Implantable Cardiac Device Cartel
with
Daniel Chaves (Western University) and
Dimas Fazio (National University of Singapore)