Search results
Results: 32
Number of items: 32
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Van Garderen, K. J., & Van Giersbergen, N. (2024). Replication data for: A Nearly Similar Powerful Test for Mediation [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/s5yggk
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van Garderen, K. J., & van Giersbergen, N. (2022). On the Optimality of the LR Test for Mediation. Symmetry, 14(1), Article 178. https://doi.org/10.3390/sym14010178 -
van Garderen, K. J., & van Giersbergen, N. (2022). A Nearly Similar Powerful Test for Mediation. SSRN. https://doi.org/10.48550/arXiv.2012.11342
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Hillier, G., van Garderen, K. J., & van Giersbergen, N. (2021). Improved Tests for Mediation. (Cemmap working paper; No. CWP01/22). Cemmap. https://doi.org/10.47004/wp.cem.2022.0122
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van Ophem, H., van Giersbergen, N., van Garderen, K. J., & Bun, M. (2019). The cyclicality of R&D investment revisited. Journal of Applied Econometrics, 34(2), 315-324. https://doi.org/10.1002/jae.2667
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van Ophem, H., van Giersbergen, N., van Garderen, K. J., & Bun, M. (2017). The cyclicality of R&D investment revisited. (UvA Econometrics Discussion Paper; No. 2017/01). Amsterdam School of Economics, University of Amsterdam. http://ase.uva.nl/content/research-programmes/uva-econometrics/discussion-papers/discussion-papers-uva-econometrics.html?origin=cdA%2FdGZeRpiHB1qi0g7gOg#anker-discussion-papers-2011
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van Giersbergen, N. P. A. (2016). The ability to correct the bias in the stable AD(1,1) model with a feedback effect. Computational Statistics and Data Analysis, 100, 186-204. https://doi.org/10.1016/j.csda.2015.04.007
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van Giersbergen, N. P. A. (2014). Inference about the indirect effect: a likelihood approach. (UvA-Econometrics Discussion Papers; No. 2014/10). Universiteit van Amsterdam. http://aseri.uva.nl/binaries/content/assets/subsites/amsterdam-school-of-economics-research-institute/uva-econometrics/dp-2014/1410.pdf?1421065295737
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van Giersbergen, N. P. A. (2013). Bartlett correction in the stable second-order autoregressive model with intercept and trend. Statistica Neerlandica, 67(4), 482-498. https://doi.org/10.1111/stan.12018
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