Artūras Juodis

About Artūras Juodis

Artūras Juodis, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of Panel Data, Cross-Section Dependence, Factor models.

His recent articles reflect a diverse array of research interests and contributions to the field:

New results on asymptotic properties of likelihood estimators with persistent data for small and large T

Improved tests for Granger noncausality in panel data

Uniform Inference in Linear Error-in-Variables Models: Divide-and-Conquer

XTGRANGERT: Stata module for improved Granger non-causality testing in heterogeneous and homogeneous panel data

An incidental parameters free inference approach for panels with common shocks

The incidental parameters problem in testing for remaining cross-section correlation

A regularization approach to common correlated effects estimation

Backward mean transformation in panel data with predetermined regressors

Artūras Juodis Information

University

Position

___

Citations(all)

530

Citations(since 2020)

475

Cited By

131

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

13

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Artūras Juodis Skills & Research Interests

Panel Data

Cross-Section Dependence

Factor models

Top articles of Artūras Juodis

New results on asymptotic properties of likelihood estimators with persistent data for small and large T

SERIEs

2023/12

Artūras Juodis
Artūras Juodis

H-Index: 8

Improved tests for Granger noncausality in panel data

The Stata Journal

2023/3

Yiannis Karavias
Yiannis Karavias

H-Index: 6

Artūras Juodis
Artūras Juodis

H-Index: 8

Uniform Inference in Linear Error-in-Variables Models: Divide-and-Conquer

arXiv preprint arXiv:2301.04439

2023/1/11

Tom Boot
Tom Boot

H-Index: 3

Artūras Juodis
Artūras Juodis

H-Index: 8

XTGRANGERT: Stata module for improved Granger non-causality testing in heterogeneous and homogeneous panel data

2023/1/8

Yiannis Karavias
Yiannis Karavias

H-Index: 6

Artūras Juodis
Artūras Juodis

H-Index: 8

An incidental parameters free inference approach for panels with common shocks

Journal of Econometrics

2022/7/1

Artūras Juodis
Artūras Juodis

H-Index: 8

The incidental parameters problem in testing for remaining cross-section correlation

Journal of Business & Economic Statistics

2022/6/16

Artūras Juodis
Artūras Juodis

H-Index: 8

Simon Reese
Simon Reese

H-Index: 6

A regularization approach to common correlated effects estimation

Journal of Applied Econometrics

2022/6

Artūras Juodis
Artūras Juodis

H-Index: 8

Backward mean transformation in panel data with predetermined regressors

2022/1/18

Artūras Juodis
Artūras Juodis

H-Index: 8

A linear estimator for factor-augmented fixed-T panels with endogenous regressors

Journal of Business & Economic Statistics

2022/1/2

Artūras Juodis
Artūras Juodis

H-Index: 8

Backward mean transformation in unit root panel data models

Economics Letters

2021/4/1

Artūras Juodis
Artūras Juodis

H-Index: 8

On the robustness of the pooled CCE estimator

Journal of Econometrics

2021/2/1

A homogeneous approach to testing for Granger non-causality in heterogeneous panels

Empirical economics

2021/1

Artūras Juodis
Artūras Juodis

H-Index: 8

Yiannis Karavias
Yiannis Karavias

H-Index: 6

Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks

Available at SSRN 3644153

2020/12/23

See List of Professors in Artūras Juodis University(Universiteit van Amsterdam)

Co-Authors

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