data and code

  • “Ownership and Productivity in Vertically-Integrated Firms: Evidence from the Chinese Steel Industry,” with L. Brandt, F. Jiang, and Y. Su, Review of Economics and Statistics, Vol 104 (1), 2022

    • replication and code

    • Highlights: estimate a multistage production system; private firms outperform in pig iron and steelmaking but lag in sintering

  • “Sufficient Statistics for Unobserved Heterogeneity in Structural Dynamic Logit Models,” with V. Aguirregabiria and J. Gu, Journal of Econometrics, Vol 223 (2), 2021

    • replication and code

    • Highlights: a conditional likelihood approach to nonparametric unobserved heterogeneity in DDC

  • “Unobserved Heterogeneity in Auctions under Restricted Stochastic Dominance,” Journal of Econometrics, Vol 216 (2), 2020

    • replication and code

    • Highlights: introduce restricted stochastic dominance relations; useful in settings with multiple sources of unobserved heterogeneity

  • “A Robust Approach to Estimating Production Functions: Replication of the ACF Procedure,” with K. Kim and Y. Su, Journal of Applied Econometrics, Vol 34 (4), 2019

    • replication and code

    • Highlights: modify Ackerberg, Caves, and Frazer's (Econometrica, 2015) production function estimation method to avoid spurious minima

  • “Structural Analysis of Nonlinear Pricing,” with I. Perrigne and Q. Vuong, Journal of Political Economy, Vol 126 (6), 2018

    • replication and code

    • Highlights: nonparametric identification; a quantile-based nonparametric estimator that achieves consistency at the parametric rate

  • “Integrated-Quantile-Based Estimation for First-Price Auction Models,” with Y. Wan, Journal of Business & Economic Statistics, Vol 36 (1), 2018

    • replication and code

    • Highlights: a tuning-parameter-free estimator under the monotonicity restriction on the bidding strategy

  • “An MPEC Estimator for Misclassification Models,” with R. Lu and R. Xiao, Economics Letters, Vol 125 (2), 2014

    • replication and code

    • Highlights: a constrained maximum likelihood estimator for misclassification models