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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dr. Mirko Armillotta
- School of Business and Economics, Econometrics and Data Science - Visiting Fellow
- Tinbergen Institute - Candidate Fellow
Person: Academic
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Mariia Artemova
- School of Business and Economics, Econometrics and Data Science - External PhD Candidate
Person: Academic
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Georgia Banava
- School of Business and Economics, Econometrics and Data Science - PhD Candidate
Person: Academic
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Jan O. Bauer
- School of Business and Economics, Econometrics and Data Science - Research Associate
- 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
Projects
- 1 Active
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Statistical learning over time: closing the gap between time-series econometrics and the statistical learning literature
Schaumburg, J., Wiersma, Q. & Kooiker, S.
1/09/21 → 31/08/26
Project: Research
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Empirical Econometric Studies on the Economic Growth of Developing Countries
Sampi Bravo, J. R. E., 17 Dec 2024, 136 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
Open AccessFile54 Downloads (Pure) -
Dynamic Clustering Methods in Panel Data
Custodio Joao, I., 9 Dec 2024, 196 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
Open AccessFile200 Downloads (Pure) -
A regression-based approach to the CO2 airborne fraction
Bennedsen, M., Hillebrand, E. & Koopman, S. J., Dec 2024, In: Nature Communications. 15, 9 p., 8507.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
Armillotta, M. & Gorgi, P., Dec 2024, In: Journal of Econometrics. 246, 1-2, p. 1-24 24 p., 105894.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Strategic manipulation of preferences in the rank minimization mechanism
Tasnim, M., Weesie, Y., Ghebreab, S. & Baak, M., Dec 2024, In: Autonomous Agents and Multi-Agent Systems. 38, 2, 28 p., 44.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Courses
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Advocacy work on fossil fuel collaborations in academia
Petra Verdonk (Participant), Julia Schaumburg (Participant), C Kaupa (Participant), Niels Debonne (Participant), Edina Doci (Participant), Koen Lemaire (Participant), I. Maas (Participant), Marthe Wens (Participant), Hans Ossebaard (Participant), J. Leggett (Participant), Peter H. Verburg (Participant), PH Pattberg (Participant), M. Holland (Participant), D Iannuzzi (Participant), Pim Klaassen (Participant), Remco Kort (Participant) & Mathieu Blondeel (Participant)
1 Jan 2023 → 15 Aug 2023Activity: Other
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International Journal of Forecasting (Journal)
Julia Schaumburg (Associate editor)
2023 → 2026Activity: Peer review and Editorial work › Editorial work › Academic
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European Economics and Finance Society Conference
Kamalika Patra (Participant)
17 Jun 2022Activity: Participating in or organising an event › Conference › Academic
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Causal Effects of the Balanced Labour Market Act in the Netherlands
Kamalika Patra (Speaker)
6 Sept 2022Activity: Lecture / Presentation › Academic
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Causal Effects of the Balanced Labour Market Act in the Netherlands
Kamalika Patra (Speaker)
2022Activity: Lecture / Presentation › Professional
Prizes
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MSCA-Individual Fellowship awarded for 2 years
Fries, Sebastien (Recipient), 2020
Prize / Grant: Grant › Academic
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NWO Open competition Grant for project: Dynamic clustering for business model identification and financial stability
Lucas, André (Recipient), 2019
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. (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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Data for: Consistent semiparametric estimators for recurrent event times models with application to virtual age models
Beutner, E. (Creator), Bordes, L. (Contributor) & Doyen, L. (Contributor), Bernoulli, 1 Feb 2020
DOI: 10.3150/19-BEJ1140SUPPA, https://projecteuclid.org/journals/bernoulli/volume-26/issue-1/Consistent-semiparametric-estimators-for-recurrent-event-times-models-with-application/10.3150/19-BEJ1140.short?tab=ArticleLinkSupplemental
Dataset / Software: Dataset
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Replication Data for: Conditional moments of noncausal alpha-stable processes and the prediction of bubble crash odds
Fries, S. (Contributor), DataverseNL, 1 Jan 2021
DOI: 10.34894/fmf3up, https://dataverse.nl/citation?persistentId=doi:10.34894/FMF3UP
Dataset / Software: Dataset
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Proper scoring rules for evaluating density forecasts with asymmetric loss functions
Iacopini, M. (Creator), Ravazzolo, F. (Creator) & Rossini, L. (Creator), Taylor&Francis, 2022
DOI: 10.6084/m9.figshare.19111207.v1, https://tandf.figshare.com/articles/dataset/Proper_scoring_rules_for_evaluating_density_forecasts_with_asymmetric_loss_functions/19111207/1
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