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Artūras Juodis
(Arturas Juodis)

Personal Details

First Name:Arturas
Middle Name:
Last Name:Juodis
Suffix:
RePEc Short-ID:pju116
[This author has chosen not to make the email address public]
http://juodis.economists.lt
Faculty of Economics and Business, University of Groningen, Nettelbosje 2 9747 AE Groningen, the Netherlands

Affiliation

Faculteit Economie en Bedrijfskunde
Rijksuniversiteit Groningen

Groningen, Netherlands
http://www.rug.nl/feb/
RePEc:edi:ferugnl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis & Jan Ditzen & Jiaqi Xiao, 2022. "Improved tests for Granger noncausality in panel data," Swiss Stata Conference 2022 06, Stata Users Group.
  2. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
  3. Arturas Juodis & Sarafidis, V., 2015. "A Simple Estimator for Short Panels with Common Factors," UvA-Econometrics Working Papers 15-03, Universiteit van Amsterdam, Dept. of Econometrics.
  4. Maurice J.G. Bun & Martin A. Carree & Arturas Juodis, 2014. "On Maximum Likelihood estimation of dynamic panel data models," UvA-Econometrics Working Papers 14-04, Universiteit van Amsterdam, Dept. of Econometrics.
  5. Arturas Juodis & Sarafidis, V., 2014. "Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors," UvA-Econometrics Working Papers 14-07, Universiteit van Amsterdam, Dept. of Econometrics.
  6. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
  7. Arturas Juodis, 2013. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 13-08, Universiteit van Amsterdam, Dept. of Econometrics.

Articles

  1. Jiaqi Xiao & Artūras Juodis & Yiannis Karavias & Vasilis Sarafidis & Jan Ditzen, 2023. "Improved tests for Granger noncausality in panel data," Stata Journal, StataCorp LP, vol. 23(1), pages 230-242, March.
  2. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
  3. Juodis, Artūras, 2013. "A note on bias-corrected estimation in dynamic panel data models," Economics Letters, Elsevier, vol. 118(3), pages 435-438.

Software components

  1. Jiaqi Xiao & Yiannis Karavias & Vasilis Sarafidis & Arturas Juodis & Jan Ditzen, 2021. "XTGRANGERT: Stata module for improved Granger non-causality testing in heterogeneous and homogeneous panel data," Statistical Software Components S458934, Boston College Department of Economics, revised 08 Jan 2023.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis & Jan Ditzen & Jiaqi Xiao, 2022. "Improved tests for Granger noncausality in panel data," Swiss Stata Conference 2022 06, Stata Users Group.

    Cited by:

    1. Ghazala Aziz & Suleman Sarwar, 2023. "Empirical Evidence of Environmental Technologies, Renewable Energy and Tourism to Minimize the Environmental Damages: Implication of Advanced Panel Analysis," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    2. Martí-Ballester, Carmen-Pilar, 2022. "Do renewable energy mutual funds advance towards clean energy-related sustainable development goals?," Renewable Energy, Elsevier, vol. 195(C), pages 1155-1164.
    3. Shuyu Zhang & Dunli Zhang & Jianming Zheng & Walter Aerts & Dandan Xu, 2023. "Plus Token and investor searching behaviour – A cryptocurrency Ponzi scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4713-4728, December.
    4. Zhou, Qiang & Liu, Yong & Qu, Shen, 2022. "Emission effects of China's rural revitalization: The nexus of infrastructure investment, household income, and direct residential CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    5. Jan Ditzen, 2021. "Panel-data models with large N and large T: An overview," Economics Virtual Symposium 2021 2, Stata Users Group.
    6. Lasisi, Taiwo Temitope & Alola, Andrew Adewale & Muoneke, Obumneke Bob & Eluwole, Kayode Kolawole, 2022. "The moderating role of environmental-related innovation and technologies in growth-energy utilization nexus in highest-performing eco-innovation economies," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. MAÏ ASSAN CHEDI, Maman, 2022. "Does Defence Expenditure Affect Education and Health expenditures in Saharan Africa?," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    8. Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
    9. Lina Karabetyan & Gamze Sart, 2023. "The Impact of Entrepreneurship and Education on the Ecological Footprint: Insights from the G-20 States," Sustainability, MDPI, vol. 16(1), pages 1-16, December.
    10. Nwani, Chinazaekpere & Usman, Ojonugwa & Okere, Kingsley Ikechukwu & Bekun, Festus Victor, 2023. "Technological pathways to decarbonisation and the role of renewable energy: A study of European countries using consumption-based metrics," Resources Policy, Elsevier, vol. 83(C).
    11. Sahrish Saeed & Muhammad Sohail Amjad Makhdum & Sofia Anwar & Muhammad Rizwan Yaseen, 2023. "Climate Change Vulnerability, Adaptation, and Feedback Hypothesis: A Comparison of Lower-Middle, Upper-Middle, and High-Income Countries," Sustainability, MDPI, vol. 15(5), pages 1-25, February.

  2. Arturas Juodis & Sarafidis, V., 2015. "A Simple Estimator for Short Panels with Common Factors," UvA-Econometrics Working Papers 15-03, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.

  3. Maurice J.G. Bun & Martin A. Carree & Arturas Juodis, 2014. "On Maximum Likelihood estimation of dynamic panel data models," UvA-Econometrics Working Papers 14-04, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    2. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    3. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
    4. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    5. Adrian Mehic, 2021. "FDML versus GMM for Dynamic Panel Models with Roots Near Unity," JRFM, MDPI, vol. 14(9), pages 1-9, August.
    6. Thomas von Brasch & Diana-Cristina Iancu & Terje Skjerpen, 2017. "Productivity dispersion and measurement errors," Discussion Papers 869, Statistics Norway, Research Department.
    7. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
    8. Hakim Lyngstadaas, 2020. "Packages or systems? Working capital management and financial performance among listed U.S. manufacturing firms," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(4), pages 403-450, December.
    9. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.
    10. Juodis, Artūras & Poldermans, Rutger W., 2021. "Backward mean transformation in unit root panel data models," Economics Letters, Elsevier, vol. 201(C).

  4. Arturas Juodis & Sarafidis, V., 2014. "Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors," UvA-Econometrics Working Papers 14-07, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    2. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    3. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    4. Artūras Juodis & Vasilis Sarafidis, 2022. "A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 1-15, January.
    5. Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2020. "IV Estimation of Spatial Dynamic Panels with Interactive Effects: Large Sample Theory and an Application on Bank Attitude," Monash Econometrics and Business Statistics Working Papers 11/20, Monash University, Department of Econometrics and Business Statistics.
    6. Arturas Juodis & Sarafidis, V., 2015. "A Simple Estimator for Short Panels with Common Factors," UvA-Econometrics Working Papers 15-03, Universiteit van Amsterdam, Dept. of Econometrics.
    7. Robertson, Donald & Sarafidis, Vasilis & Symons, James, 2010. "IV Estimation of Panels with Factor Residuals," MPRA Paper 26166, University Library of Munich, Germany.
    8. Matthew Harding & Carlos Lamarche & Chris Muris, 2022. "Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data," Papers 2203.03051, arXiv.org.
    9. Juodis, Artūras & Karabiyik, Hande & Westerlund, Joakim, 2021. "On the robustness of the pooled CCE estimator," Journal of Econometrics, Elsevier, vol. 220(2), pages 325-348.
    10. Hugo Freeman & Martin Weidner, 2021. "Linear panel regressions with two-way unobserved heterogeneity," CeMMAP working papers CWP39/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  5. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    2. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    3. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    4. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    5. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    6. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
    7. Schwarz, Claudia & Kripfganz, Sebastian, 2015. "Estimation of linear dynamic panel data models with time-invariant regressors," Working Paper Series 1838, European Central Bank.
    8. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.

Articles

  1. Jiaqi Xiao & Artūras Juodis & Yiannis Karavias & Vasilis Sarafidis & Jan Ditzen, 2023. "Improved tests for Granger noncausality in panel data," Stata Journal, StataCorp LP, vol. 23(1), pages 230-242, March.
    See citations under working paper version above.
  2. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    See citations under working paper version above.
  3. Juodis, Artūras, 2013. "A note on bias-corrected estimation in dynamic panel data models," Economics Letters, Elsevier, vol. 118(3), pages 435-438.

    Cited by:

    1. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Łukasz Marć, 2017. "The Impact of Aid on Total Government Expenditures: New Evidence on Fungibility," Review of Development Economics, Wiley Blackwell, vol. 21(3), pages 627-663, August.
    3. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    4. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    5. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 110375, University Library of Munich, Germany, revised 15 Aug 2021.
    6. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    7. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    8. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    9. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
    10. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    11. Łukasz Marć, 2015. "The impact of aid on total government expenditures: New evidence on fungibility," WIDER Working Paper Series wp-2015-010, World Institute for Development Economic Research (UNU-WIDER).
    12. Arturas Juodis & Yiannis Karavias, 2019. "Partially heterogeneous tests for Granger non-causality in panel data," Bank of Lithuania Working Paper Series 59, Bank of Lithuania.
    13. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
    14. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Other publications TiSEM 9bf2c16c-522f-4223-8037-c, Tilburg University, School of Economics and Management.
    15. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.

Software components

    Sorry, no citations of software components recorded.

More information

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Statistics

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Co-authorship network on CollEc

Featured entries

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  1. Lithuanian Economists

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (6) 2013-08-31 2013-12-20 2014-08-09 2014-12-24 2015-12-08 2015-12-28. Author is listed
  2. NEP-ETS: Econometric Time Series (5) 2013-08-31 2013-12-20 2014-12-24 2015-01-19 2015-12-08. Author is listed
  3. NEP-EFF: Efficiency and Productivity (1) 2023-01-02
  4. NEP-GEO: Economic Geography (1) 2013-12-20
  5. NEP-PPM: Project, Program and Portfolio Management (1) 2015-12-28
  6. NEP-URE: Urban and Real Estate Economics (1) 2013-12-20

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