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Leefmans, N., Vervliet, T., & Oomes, N. (2022). Ontwikkelingssamenwerking leidt niet tot meer, maar tot minder emigratie. Economisch Statistische Berichten, 107(4809), 234-237. https://esb.nu/ontwikkelingssamenwerking-leidt-niet-tot-meer-maar-tot-minder-emigratie/ -
Meijers, M. H. C., Scholz, C., Torfadóttir, R. H., Wonneberger, A., & Markov, M. (2022). Learning from the COVID-19 pandemic to combat climate change: comparing drivers of individual action in global crises. Journal of environmental studies and sciences, 12(4), 272-282. https://doi.org/10.1007/s13412-021-00727-9 -
Juodis, A., & Reese, S. (2022). The Incidental Parameters Problem in Testing for Remaining Cross-Section Correlation. Journal of Business and Economic Statistics, 40(3), 1191-1203. https://doi.org/10.1080/07350015.2021.1906687 -
Speklé, R. F., Verbeeten, F. H. M., & Widener, S. K. (2022). Nondyadic control systems and effort direction effectiveness: Evidence from the public sector. Management Accounting Research, 54, Article 100769. https://doi.org/10.1016/j.mar.2021.100769 -
Wagener, F. (2022). Dynamic Games in Environmental Economics and Management. Dynamic Games and Applications, 12(3), 747-750. https://doi.org/10.1007/s13235-022-00456-w -
van Ewijk, B. J., Gijsbrechts, E., & Steenkamp, J.-BEM. (2022). The Dark Side of Innovation: How New SKUs Affect Brand Choice in the Presence of Consumer Uncertainty and Learning. International Journal of Research in Marketing, 39(4), 967-987. https://doi.org/10.1016/j.ijresmar.2022.01.002 -
Huberts, L. C. E., Schoonhoven, M., & Does, R. J. M. M. (2022). Monitoring student progress: A case study to predict student success or failure. Journal of Quality Technology, 54(2), 127-143. https://doi.org/10.1080/00224065.2020.1828008 -
Juodis, A., & Sarafidis, V. (2022). An incidental parameters free inference approach for panels with common shocks. Journal of Econometrics, 229(1), 19-54. https://doi.org/10.1016/j.jeconom.2021.03.011 -
Georgallis, P., & Bruijn, K. (2022). Sustainability teaching using case-based debates. Journal of International Education in Business, 15(1), 147-163. https://doi.org/10.1108/JIEB-03-2021-0039 -
den Boer, A. V., Meylahn, J. M., & Schinkel, M. P. (2022). Artificial Collusion: Examining Supra-competitive Pricing by Autonomous Q-learning Algorithms. (Amsterdam Law School Legal Studies Research Paper; Vol. 2022-25), (Amsterdam Center for Law & Economics Working Paper; Vol. 2022-06). University of Amsterdam. https://doi.org/10.2139/ssrn.4213600
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