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Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628, van Dijk, M.
ORCID: https://orcid.org/0000-0002-5207-7304 & Piribauer, P.
(2025).
Herding resilience: Surveys and Bayesian spatial models for Africa’s livestock.
Environmental Development 54, e101141. 10.1016/j.envdev.2025.101141.
Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628 & Piribauer, P.
(2024).
LAMASUS NUTS-level economic data 1980-2021.
10.5281/zenodo.10939643.
Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628 & Piribauer, P.
(2023).
A joint spatial econometric model for regional FDI and output growth.
Papers in Regional Science 102 (1), 87-106. 10.1111/pirs.12714.
Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628 & Piribauer, P.
(2022).
A Bayesian approach for the estimation of weight matrices in spatial autoregressive models.
Spatial Economic Analysis, 1-20. 10.1080/17421772.2022.2095426.
Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628, Piribauer, P. & Wögerer, M.
(2021).
A spatial multinomial logit model for analysing urban expansion.
Spatial Economic Analysis, 1-22. 10.1080/17421772.2021.1933579.
Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628 & Piribauer, P.
(2021).
Modelling European regional FDI flows using a Bayesian spatial Poisson interaction model.
The Annals of Regional Science 67, 593-616. 10.1007/s00168-021-01058-x.
Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628 & Piribauer, P.
(2021).
A Bayesian spatial autoregressive logit model with an empirical application to European regional FDI flows.
Empirical Economics 10.1007/s00181-020-01856-w.
Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628, Piribauer, P. & Wögerer, M.
(2020).
The spatial econometrics of the coronavirus pandemic.
Letters in Spatial and Resource Sciences 10.1007/s12076-020-00254-1.
Huber, F., Krisztin, T. ORCID: https://orcid.org/0000-0002-9241-8628 & Piribauer, P.
(2017).
Forecasting Global Equity Indices using Large Bayesian VARs.
Bulletin of Economic Research 69 (3), 288-308. 10.1111/boer.12094.
Piribauer, P. & Crespo Cuaresma, J. (2016). Bayesian Variable Selection in Spatial Autoregressive Models. Spatial Economic Analysis 11 (4), 457-479. 10.1080/17421772.2016.1227468.