Andrii Babii
Names
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Andrii |
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Babii |
Identifer
Contact
Affiliations
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University of North Carolina-Chapel-Hill
/ Department of Economics
Research profile
author of:
- Machine Learning Time Series Regressions With an Application to Nowcasting (RePEc:ajf:louvlf:2021004)
by Babii, Andrii & Ghysels, Eric & Striaukas, Jonas - Machine Learning Time Series Regressions With an Application to Nowcasting (RePEc:ajf:louvlr:2021010)
by Babii, Andrii & Ghysels, Eric & Striaukas, Jonas - Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models (RePEc:arx:papers:1611.03015)
by Andrii Babii - Are Unobservables Separable? (RePEc:arx:papers:1705.01654)
by Andrii Babii & Jean-Pierre Florens - Is completeness necessary? Estimation in nonidentified linear models (RePEc:arx:papers:1709.03473)
by Andrii Babii & Jean-Pierre Florens - Isotonic Regression Discontinuity Designs (RePEc:arx:papers:1908.05752)
by Andrii Babii & Rohit Kumar - High-Dimensional Granger Causality Tests with an Application to VIX and News (RePEc:arx:papers:1912.06307)
by Andrii Babii & Eric Ghysels & Jonas Striaukas - High-dimensional mixed-frequency IV regression (RePEc:arx:papers:2003.13478)
by Andrii Babii - Machine Learning Time Series Regressions with an Application to Nowcasting (RePEc:arx:papers:2005.14057)
by Andrii Babii & Eric Ghysels & Jonas Striaukas - Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application (RePEc:arx:papers:2008.03600)
by Andrii Babii & Ryan T. Ball & Eric Ghysels & Jonas Striaukas - Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice (RePEc:arx:papers:2010.08463)
by Andrii Babii & Xi Chen & Eric Ghysels & Rohit Kumar - Tensor Principal Component Analysis (RePEc:arx:papers:2212.12981)
by Andrii Babii & Eric Ghysels & Junsu Pan - Panel Data Nowcasting: The Case of Price-Earnings Ratios (RePEc:arx:papers:2307.02673)
by Andrii Babii & Ryan T. Ball & Eric Ghysels & Jonas Striaukas - Econometrics of Machine Learning Methods in Economic Forecasting (RePEc:arx:papers:2308.10993)
by Andrii Babii & Eric Ghysels & Jonas Striaukas - Functional Partial Least-Squares: Optimal Rates and Adaptation (RePEc:arx:papers:2402.11134)
by Andrii Babii & Marine Carrasco & Idriss Tsafack - Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice (RePEc:cpr:ceprdp:15418)
by Ghysels, Eric & Babii, Andrii & Chen, Xi & Kumar, Rohit - Honest Confidence Sets In Nonparametric Iv Regression And Other Ill-Posed Models (RePEc:cup:etheor:v:36:y:2020:i:4:p:658-706_4)
by Babii, Andrii - Commercial and Residential Mortgage Defaults: Spatial Dependence with Frailty (RePEc:eee:econom:v:212:y:2019:i:1:p:47-77)
by Babii, Andrii & Chen, Xi & Ghysels, Eric - Isotonic regression discontinuity designs (RePEc:eee:econom:v:234:y:2023:i:2:p:371-393)
by Babii, Andrii & Kumar, Rohit - Machine learning panel data regressions with heavy-tailed dependent data: Theory and application (RePEc:eee:econom:v:237:y:2023:i:2:s0304407622001282)
by Babii, Andrii & Ball, Ryan T. & Ghysels, Eric & Striaukas, Jonas - Are unobservables separable? (RePEc:hal:wpaper:hal-02532383)
by Andrii Babii & Jean-Pierre Florens - Machine Learning Time Series Regressions With an Application to Nowcasting (RePEc:taf:jnlbes:v:40:y:2022:i:3:p:1094-1106)
by Andrii Babii & Eric Ghysels & Jonas Striaukas - High-Dimensional Mixed-Frequency IV Regression (RePEc:taf:jnlbes:v:40:y:2022:i:4:p:1470-1483)
by Andrii Babii - Is completeness necessary? Estimation in nonidentified linear models (RePEc:tse:wpaper:124211)
by Babii, Andrii & Florens, Jean-Pierre - Are unobservables separable? (RePEc:tse:wpaper:31686)
by Babii, Andrii & Florens, Jean-Pierre - Honest confidence sets in nonparametric IV regression and other ill-posed models (RePEc:tse:wpaper:31687)
by Babii, Andrii