Refereed Publications

  1. "Doubly-Robust Difference-in-Differences Estimators." (with Pedro H. C. Sant'Anna), Journal of Econometrics, vol. 219 (1), p. 101-122, 2020.

[SSRN] [arXiv] [Supplementary Appendix] [R package: DRDID]

Working Papers

  1. "Campaign Spending in Senate Elections: A Structural Analysis of a Two-Stage Election with Endogenous Candidate Entry." (Job Market Paper), November 2020.

Abstract: This paper quantifies the effect of campaign spending on electoral outcomes in the U.S. Senate elections. To this end, I develop a two-stage contest model where in the first stage potential candidates decide whether to enter, and in the second stage those that decide to enter participate in an election consisting of within-party primaries and a general election where they make campaign spending decisions to influence the probability of winning. I also specify voters' decisions through a latent utility model. I estimate this game-theoretic model using data on the vote shares of Senate candidates in primary and general elections, data on candidates' campaign spending, and state-year level covariates for Senate elections between 1994 and 2018. Taking account of endogenous entry, I find that incumbents spend more and run more relative to potential challengers, and that campaign spending is more effective in increasing votes in the primary compared to the general election. Moreover, I show that the primary election in the incumbent's party is important in the sense that it can increase the electoral competition. I also show in a counterfactual analysis that moving to a top-two primary results in a slightly less competitive election and lower spending relative to the commonly used primary system.

  1. "Nonparametric Identification of Bayesian Games Under Exclusion Restrictions." (with Tong Li and Jun Zhang), May 2020.

  1. "Testing for Collusion in Procurement Auctions." (with Tong Li and Jun Nakabayashi), November 2020.

Work in Progress

  1. "Efficacy of a Bidder Training Program in Procurement Auctions with Selection and Entry." (with Dakshina G. De Silva and Tong Li).