Publications


  1. Marina Friedrich and Yicong Lin (2024). Sieve bootstrap inference for linear time-varying coefficient models. Journal of Econometrics 239(1), 105345. [Open Access]
  2. Eric Beutner, Yicong Lin, and Stephan Smeekes (2023). GLS estimation and confidence sets for the date of a single break in models with trends. Econometric Reviews 42(2), 195-219. [Open Access]

Working papers


  1. Yicong Lin and Hanno Reuvers. Cointegrating polynomial regressions with power law trends [R&R]
  2. Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, and Stratis Gavves. Domain adaptation with Cauchy-Schwarz divergence. [Submitted]
  3. Yicong Lin, Bernhard van der Sluis, and Marina Friedrich. Bootstrapping trending time-varying coefficient panel models with missing observations. [Submitted]
  4. Eric Beutner, Yicong Lin, and Andre Lucas. Consistency, distributional convergence, and optimality of score-driven filters.
  5. Marina Friedrich, Yicong Lin, Pavitram Ramdaras, Sean Telg, and Bernhard van der Sluis. Modelling time-varying relations in housing prices: A semiparametric panel approach. [Submitted]
  6. Yicong Lin and Mingxuan Song. Bootstrap inference for time-varying coefficient models in nonstationary time series. [Revision requested]
    • previous title: Robust bootstrap inference for linear time-varying coefficient models: Some Monte Carlo evidence
  7. Yicong Lin and Hanno Reuvers. Fully modified estimation in cointegrating polynomial regressions: Extensions and Monte Carlo comparison. [Revision requested]