Andrii Babii : Citation Profile


Are you Andrii Babii?

University of North Carolina-Chapel-Hill

4

H index

1

i10 index

63

Citations

RESEARCH PRODUCTION:

2

Articles

14

Papers

RESEARCH ACTIVITY:

   4 years (2017 - 2021). See details.
   Cites by year: 15
   Journals where Andrii Babii has often published
   Relations with other researchers
   Recent citing documents: 19.    Total self citations: 11 (14.86 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pba1689
   Updated: 2024-01-16    RAS profile: 2021-11-22    
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Relations with other researchers


Works with:

Striaukas, Jonas (3)

Authors registered in RePEc who have co-authored more than one work in the last five years with Andrii Babii.

Is cited by:

Medeiros, Marcelo (3)

Telg, Sean (2)

Sasaki, Yuya (2)

Meunier, Baptiste (2)

Karagedikli, Ozer (2)

Kamolthip, Sarun (2)

Botosaru, Irene (2)

Muris, Chris (2)

Genberg, Hans (2)

Aastveit, Knut Are (2)

Wilms, Ines (2)

Cites to:

Chernozhukov, Victor (21)

Hansen, Christian (13)

Carrasco, Marine (13)

Valkanov, Rossen (8)

Imbens, Guido (7)

Newey, Whitney (6)

Athey, Susan (6)

Elliott, Graham (6)

Giannone, Domenico (6)

hoderlein, stefan (6)

Rossi, Barbara (6)

Main data


Where Andrii Babii has published?


Working Papers Series with more than one paper published# docs
Papers / arXiv.org9
TSE Working Papers / Toulouse School of Economics (TSE)3

Recent works citing Andrii Babii (2024 and 2023)


YearTitle of citing document
2023Performance of Empirical Risk Minimization for Linear Regression with Dependent Data. (2021). Brownlees, Christian ; Gudhmundsson, Gudhmundur Stef'An. In: Papers. RePEc:arx:papers:2104.12127.

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2023Constrained Classification and Policy Learning. (2021). Tetenov, Aleksey ; Sakaguchi, Shosei ; Kitagawa, Toru. In: Papers. RePEc:arx:papers:2106.12886.

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2024On LASSO for High Dimensional Predictive Regression. (2022). Shi, Zhentao ; Mei, Ziwei. In: Papers. RePEc:arx:papers:2212.07052.

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2023Machine Learning for Economics Research: When What and How?. (2023). Desai, Ajit. In: Papers. RePEc:arx:papers:2304.00086.

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2023Nowcasting with signature methods. (2023). Mantoan, Giulia ; Malpass, Will ; Lui, Silvia ; Cohen, Samuel N ; Yang, Lingyi ; Small, Emma ; Scott, Craig ; Reeves, Andrew ; Nesheim, Lars. In: Papers. RePEc:arx:papers:2305.10256.

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2023Panel Data Nowcasting: The Case of Price-Earnings Ratios. (2023). Striaukas, Jonas ; Ghysels, Eric ; Ball, Ryan T ; Babii, Andrii. In: Papers. RePEc:arx:papers:2307.02673.

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2023Econometrics of Machine Learning Methods in Economic Forecasting. (2023). Striaukas, Jonas ; Ghysels, Eric ; Babii, Andrii. In: Papers. RePEc:arx:papers:2308.10993.

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2023Satellites Turn “Concrete”: Tracking Cement with Satellite Data and Neural Networks. (2023). Meunier, Baptiste ; Baptiste, Meunier ; Benjamin, Lietti ; Jean-Charles, Bricongne ; Simon, Ben Arous ; Alexandre, Aspremont. In: Working papers. RePEc:bfr:banfra:916.

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2023Machine learning advances for time series forecasting. (2023). Mendes, Eduardo F ; Medeiros, Marcelo C ; Masini, Ricardo P. In: Journal of Economic Surveys. RePEc:bla:jecsur:v:37:y:2023:i:1:p:76-111.

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2023Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms. (2023). Xu, Hao ; Ni, HE ; Zhang, Qin. In: Economic Modelling. RePEc:eee:ecmode:v:122:y:2023:i:c:s0264999323000160.

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2023Isotonic regression discontinuity designs. (2023). Kumar, Rohit ; Babii, Andrii. In: Journal of Econometrics. RePEc:eee:econom:v:234:y:2023:i:2:p:371-393.

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2023Lasso inference for high-dimensional time series. (2023). Wilms, Ines ; Smeekes, Stephan ; Adamek, Robert. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1114-1143.

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2023A functional estimation approach to the first-price auction models. (2023). Sbai, Erwann ; Florens, Jean-Pierre ; Enache, Andreea. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:2:p:1564-1588.

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2023Structural VAR models in the Frequency Domain. (2023). Pelgrin, Florian ; Guay, Alain. In: Journal of Econometrics. RePEc:eee:econom:v:236:y:2023:i:1:s0304407623001604.

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2023Mixed-frequency machine learning: Nowcasting and backcasting weekly initial claims with daily internet search volume data. (2023). Montes, Erik Christian ; Rapach, David E ; Borup, Daniel. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:3:p:1122-1144.

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2023Covid-19, credit risk management modeling, and government support. (2023). Telg, Sean ; Lucas, Andre ; Dubinova, Anna. In: Journal of Banking & Finance. RePEc:eee:jbfina:v:147:y:2023:i:c:s0378426622002187.

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2023Forecasting GDP with many predictors in a small open economy: forecast or information pooling?. (2023). Han, Daniel ; Fei, Yijie ; Chow, Hwee Kwan. In: Empirical Economics. RePEc:spr:empeco:v:65:y:2023:i:2:d:10.1007_s00181-022-02356-9.

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2023Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM). (2023). Mundle, Sudipto ; Bhandari, Bornali ; Bhattacharya, Rudrani. In: Journal of Quantitative Economics. RePEc:spr:jqecon:v:21:y:2023:i:1:d:10.1007_s40953-022-00335-6.

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2023Consistency, distributional convergence, and optimality of score-driven filters. (2023). Lucas, Andre ; Lin, Yicong ; Beutner, Eric A. In: Tinbergen Institute Discussion Papers. RePEc:tin:wpaper:20230051.

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Works by Andrii Babii:


YearTitleTypeCited
2020Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models In: Papers.
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paper2
2020HONEST CONFIDENCE SETS IN NONPARAMETRIC IV REGRESSION AND OTHER ILL-POSED MODELS.(2020) In: Econometric Theory.
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This paper has nother version. Agregated cites: 2
article
2017Honest confidence sets in nonparametric IV regression and other ill-posed models.(2017) In: TSE Working Papers.
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This paper has nother version. Agregated cites: 2
paper
2021Are Unobservables Separable? In: Papers.
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paper1
2020Are unobservables separable?.(2020) In: Working Papers.
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This paper has nother version. Agregated cites: 1
paper
2017Are unobservables separable?.(2017) In: TSE Working Papers.
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This paper has nother version. Agregated cites: 1
paper
2021Is completeness necessary? Estimation in nonidentified linear models In: Papers.
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paper5
2020Is completeness necessary? Estimation in nonidentified linear models.(2020) In: TSE Working Papers.
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This paper has nother version. Agregated cites: 5
paper
2020Isotonic Regression Discontinuity Designs In: Papers.
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paper3
2021High-Dimensional Granger Causality Tests with an Application to VIX and News In: Papers.
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paper4
2020High-dimensional mixed-frequency IV regression In: Papers.
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paper0
2020Machine Learning Time Series Regressions with an Application to Nowcasting In: Papers.
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paper33
2021Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application In: Papers.
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paper4
2021Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice In: Papers.
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paper3
2020Binary Choice with Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Racial Justice.(2020) In: CEPR Discussion Papers.
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This paper has nother version. Agregated cites: 3
paper
2019Commercial and Residential Mortgage Defaults: Spatial Dependence with Frailty In: Journal of Econometrics.
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article8

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