Name File Type Size Last Modified
AER_PP_1.csv text/csv 300 bytes 01/09/2022 09:00:AM
AER_PP_1.ipynb text/plain 35.8 KB 01/10/2022 07:08:AM
AER_PP_counter.csv text/csv 39 bytes 01/10/2022 08:50:AM
AER_PP_counter.ipynb text/plain 20.2 KB 01/09/2022 05:58:AM
AER_alt_E.csv text/csv 181 bytes 04/13/2022 11:53:AM
AER_alt_E.ipynb text/plain 43.8 KB 01/10/2022 11:29:AM
AER_explore_C.csv text/csv 450 bytes 01/10/2022 03:14:PM
AER_explore_C.ipynb text/plain 143 KB 01/09/2022 09:00:AM
CETESdata.dta application/x-stata-dta 135.2 KB 01/09/2022 05:58:AM
README.pdf application/pdf 63.1 KB 04/27/2022 09:22:AM

Project Citation: 

Cole, Harold, Neuhann, Daniel, and Ordonez, Guillermo. Data and Code for: “Sovereign Debt Auctions In Turbulent Times.” Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-10-09. https://doi.org/10.3886/E167561V1

Project Description

Summary:  View help for Summary We use a model of multi-unit discriminatory auctions with asymmetrically informed risk-averse bidders to analyze Mexican sovereign bond auctions during periods of macroeconomic stress. We argue that the discriminatory protocol provides insurance benefits to the government in bad times because it allows for uninformed bids above the marginal price to be executed at the bid price.  Uninformed investors are willing to make such bids if the infra-marginal risk premium is large enough to offset the winner’s curse. In crisis periods, we infer 1 p.p. lower borrowing costs in the worst states of the world, but 2.2 p.p. higher average costs.

Scope of Project

JEL Classification:  View help for JEL Classification
      D44 Auctions
      D82 Asymmetric and Private Information; Mechanism Design
      F34 International Lending and Debt Problems


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