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  • Open Access
    Goy, G. W. (2019). Modern challenges to monetary policy. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Hummel, A. J. (2019). Non-linear taxation with monopsony power. https://www.albertjanhummel.com/wp-content/uploads/2018/09/Hummel_monopsony.pdf
  • Kret, M., & De Dreu, C. K. W. (2018). Pupil-mimicry conditions trust in partners: Moderation by oxytocin and group membership [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/zfxqi6
  • den Hartog, D., Kismihók, G., Mol, S. T., Kobayashi, V., Berkers, H., & Kobayashi, V. (2018). Supplemental Material, Supplementary_Materials_for_Text_Mining_in_Organizational_Research - Text Mining in Organizational Research [Data set]. SAGE Journals. https://doi.org/10.25384/sage.6940490.v1
  • Berkers, H., Kismihók, G., den Hartog, D., Kobayashi, V., & Mol, S. T. (2018). Text Mining in Organizational Research [Data set]. figshare SAGE Publications. https://doi.org/10.25384/sage.c.4190819.v1
  • Nicoli, F., Kuhn, T., Vandenbroucke, F., & Burgoon, B. (2018). Experimental survey testing attitudes towards alternative EUBS Schemes by means of Conjoint Analysis [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/2usgrg
  • Guillen, M., Santolino, M., & Boonen, T. J. (2018). Data for: Forecasting compositional risk allocations [Data set]. Mendeley Data. https://doi.org/10.17632/mgwnm968x6.1
  • Smrkolj, G., & Wagener, F. (2018). Computer Code for "Research among Copycats: R&D, Spillovers, and Feedback Strategies" [Data set]. Mendeley Data. https://doi.org/10.17632/w36fyf7gf3.1
  • Mazza, J., & van Ophem, H. (2018). Separating risk from heterogeneity in education: a semiparametric approach. Journal of the Royal Statistical Society. Series A (Statistics in Society), 181(1), 249-275. https://doi.org/10.1111/rssa.12253
  • Wouters, M., Anderson, J. C., & Kirchberger, M. A. (2018). New-technology startups seeking pilot customers: Crafting a pair of value propositions. California Management Review, 60(4), 101-124. https://doi.org/10.1177/0008125618778855
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