Projects per year
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Dive into the research topics where Econometrics and Data Science is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Jan O. Bauer
- School of Business and Economics, Econometrics and Data Science - Assistant Professor
- Tinbergen Institute - candidate fellow
Person: Academic
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prof. dr. Eric Beutner
- School of Business and Economics, Econometrics and Data Science - Full Professor
Person: Academic
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dr. Frits Bijleveld
- School of Business and Economics, Econometrics and Data Science - Assistant Professor
Person: Academic
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prof. dr. Francisco Blasques
- School of Business and Economics, Econometrics and Data Science - Full Professor
- Tinbergen Institute - Research Fellow
Person: Academic
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dr. Agnieszka Borowska
- School of Business and Economics, Econometrics and Data Science - Assistant Professor
Person: Academic
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NWO-Open Competition-M grant: The best of both worlds: model specification and inference in hybrid machine learning econometric models
Lucas, A. (Principal Investigator)
9/01/26 → 8/01/30
Project: Research
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NWO Open Competition M grant: Seeing beyond the study duration: extreme value theory for long term survival and cure chances
Yip, C. (PhD candidate) & Cai, J. J. (Principal Investigator)
1/09/25 → 31/12/29
Project: Research
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NWO-Veni: Climetrics: Bringing together econometrics and climate sciences
Friedrich, M. (Principal Investigator) & van der Straten, D. (Project Researcher)
1/01/25 → 31/12/27
Project: Research
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Veni: Statistical inference for high-dimensional, non-stationary time series
Wijler, E. (Principal Investigator)
1/10/24 → 31/10/27
Project: Research
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Stimuleringsbeurs: Causality, Endogeneity, and Heterogeneity in Panel Data: Methods for Robust Inference
van der Wel, V. (PhD candidate) & Karabiyik, H. (Principal Investigator)
1/01/24 → 31/12/29
Project: Research
Research output
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Beyond regularization: inherently sparse principal component analysis
Bauer, J. O., Aug 2026, In: Statistics and Computing. 36, 4, 140.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Climate ambition explained: key indicators and net-zero target projections using machine learning
den Elzen, M. G. J., Weenk, S. C. J., Nascimento, L., Çetinkaya, S., Troost, S. P., van Os, B. & Dafnomilis, I., Jun 2026, In: Mitigation and Adaptation Strategies for Global Change. 31, 5, p. 1-29 29 p., 60.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Fully modified GLS estimation for seemingly unrelated cointegrating polynomial regressions
Lin, Y. & Reuvers, H., Jun 2026, In: Oxford Bulletin of Economics and Statistics. 88, 3, p. 473-483 11 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Revelle’s Beta: The Wait Is Over—Computation Becomes Possible
Bauer, J. O., 26 May 2026, (E-pub ahead of print) In: Psychometrika. 15 p.Research output: Contribution to Journal › Article › Academic › peer-review
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Targeted Estimation in Heterogeneous Panel Data Models
Banava, G., 11 May 2026, 144 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
Open AccessFile44 Downloads (Pure)
Courses
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International Journal of Forecasting (Journal)
Schaumburg, J. (Associate editor)
2023 → 2026Activity: Peer review and Editorial work › Editorial work › Academic
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Advocacy work on fossil fuel collaborations in academia
Verdonk, P. (Participant), Schaumburg, J. (Participant), Kaupa, C. (Participant), Debonne, N. (Participant), Doci, E. (Participant), Lemaire, K. (Participant), Maas, I. (Participant), Wens, M. (Participant), Ossebaard, H. (Participant), Leggett, J. (Participant), Verburg, P. H. (Participant), Pattberg, P. (Participant), Holland, M. (Participant), Iannuzzi, D. (Participant), Klaassen, P. (Participant), Kort, R. (Participant) & Blondeel, M. (Participant)
1 Jan 2023 → 15 Aug 2023Activity: Other
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Causal Effects of the Balanced Labour Market Act in the Netherlands
Patra, K. (Speaker)
6 Sept 2022Activity: Lecture / Presentation › Academic
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European Economics and Finance Society Conference
Patra, K. (Participant)
17 Jun 2022Activity: Participating in or organising an event › Conference › Academic
Prizes
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MSCA-Individual Fellowship awarded for 2 years
Fries, S. (Recipient), 2020
Prize / Grant: Grant › Academic
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NWO Open competition grant for: Predicting cure chances and long term survival of cancer patients
Cai, J. J. (Recipient) & Musta, E. (Recipient), 2024
Prize / Grant: Grant › Academic
Datasets
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Replication Data for: Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds
Fries, S. (Creator), DataverseNL, 30 Aug 2021
DOI: doi:10.34894/FMF3UP, https://dataverse.nl/dataset.xhtml?persistentId=doi:10.34894/FMF3UP
Dataset / Software: Dataset
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Earthquake Risk Embedded in Property Prices: Evidence from Five Japanese Cities*
Yue, Y. (Contributor), Magnus, J. R. (Contributor), Laeven, R. J. A. (Contributor) & Ikefuji, M. (Contributor), figshare Academic Research System, 1 Jan 2021
DOI: 10.6084/m9.figshare.14599904.v1, https://doi.org/10.6084%2Fm9.figshare.14599904.v1
Dataset / Software: Dataset
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Replication data for Temperature Shocks and Economic Growth: Evidence from the Last Half Century
De Vos, I. (Distributor), American Economic Association, 2012
DOI: 10.1257/mac.4.3.66, https://www.openicpsr.org/openicpsr/project/114251/version/V1/view
Dataset / Software: Dataset
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Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics
Borowska, A. (Creator), Elsevier, Sept 2021
https://github.com/aborowska/LVgeometry-prediction
Dataset / Software: Dataset
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Closed-Form Multi-Factor Copula Models With Observation-Driven Dynamic Factor Loadings
Opschoor, A. (Contributor), Lucas, A. (Contributor), Barra, I. (Contributor) & Dijk, D. V. (Contributor), Unknown, 1 Jan 2020
DOI: 10.6084/m9.figshare.12240584.v3, https://tandf.figshare.com/articles/Closed-Form_Multi-Factor_Copula_Models_with_Observation-Driven_Dynamic_Factor_Loadings/12240584/3
Dataset / Software: Dataset
Press/Media
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Dit onderzoek werd mede mogelijk gemaakt door Shell: moeten universiteiten hun banden met de fossiele industrie verbreken?
17/02/23
1 Media contribution
Press/Media: Expert Comment