Andrii Babii

Andrii Babii - Associate Professor of Economics at UNC-Chapel Hill University of North Carolina at Chapel Hill Logo


Economics Department
Associate Professor

Google Scholar
✉ Email
GitHub
CV

Working Papers

  1. Regularized estimation of semiparametric mixtures, with Marine Carrasco and Xiaohong Chen, 2024 (in progress).

  2. Binary choice with asymmetric loss in a data-rich environment: theory and an application to racial justice, with Xi Chen, Eric Ghysels, and Rohit Kumar, 2024, revise and resubmit at Quantitative Economics. [slides], [IAAE Webinar]

  3. Nowcasting and aggregation: why small Euro area countries matter, with Luca Barbaglia, Eric Ghysels, and Jonas Striaukas, 2024, reject and resubmit at Journal of Business & Economic Statistics.

Publications

  1. Functional partial least-squares: adaptive estimation and inference, with Marine Carrasco, and Idriss Tsafack, Journal of the American Statistical Association, 2025 (forthcoming). [Data & Code]

  2. Tensor PCA for factor models, with Eric Ghysels, and Junsu Pan, Journal of Econometrics, 2025 (forthcoming). [Python package]

  3. Is completeness necessary? Estimation in nonidentified linear models, with Jean-Pierre Florens, Econometric Theory, 2025 (forthcoming).

  4. Are unobservables separable?, with Jean-Pierre Florens, Econometric Theory, 2025, 41(3), 551–583. [slides]

  5. Econometrics of machine learning methods in economic forecasting, with Eric Ghysels, and Jonas Striaukas, Handbook of Research Methods and Applications on Macroeconomic Forecasting, 2024, 246-273.

  6. Panel data nowcasting in a data-rich environment: the case of price-earnings ratios, with Ryan T. Ball, Eric Ghysels and Jonas Striaukas, Journal of Applied Econometrics 2024, 39(2).

  7. High-dimensional Granger causality tests with an application to VIX and news, with Eric Ghysels and Jonas Striaukas, Journal of Financial Econometrics (2024), 22(3). [slides]

  8. Isotonic regression discontinuity designs, with Rohit Kumar, Journal of Econometrics (2023), 234(2). [slides]

  9. Machine learning panel data regressions with heavy-tailed dependent data: theory and application, with Ryan T. Ball, Eric Ghysels and Jonas Striaukas, Journal of Econometrics (2023), 237(2). [R package]

  10. High-dimensional mixed-frequency IV regression, Journal of Business & Economic Statistics (2022), 40(4).

  11. Machine learning time series regressions with an application to nowcasting, with Eric Ghysels and Jonas Striaukas, Journal of Business & Economic Statistics, (2022), 40(3). [slides], [R package], [Julia package]

  12. Honest confidence sets in nonparametric IV regression and other ill-posed models, Econometric Theory (2020), 36(4). [slides]

  13. ET interview: Jean-Pierre Florens, with Eric Ghysels, Econometric Theory (2020), 36(3).

  14. Commercial and residential mortgage defaults: spatial dependence with frailty, with Xi Chen and Eric Ghysels, Journal of Econometrics (2019), 212(1).

Academic Genealogy: Jean-Pierre Florens (1980) - Jean-Pierre Raoult (1969) - Daniel Dugué (1937) - Georges Darmois (1921) - Édouard Goursat (1881) - Gaston Darboux (1866) - Michel Chasles (1814) - Siméon Denis Poisson (1800) - Pierre-Simon Laplace (1769) and Joseph Louis Lagrange (1754) - Leonhard Euler (1726) - Johann Bernoulli (1694) - Jacob Bernoulli (1676)