21 to 30 of 169 Results
R Syntax - 1.3 KB -
MD5: 8838947b9868ab1e0fda1491b07d7eb7
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R Data - 7.9 MB -
MD5: a9b4eed9e761fa17a576384d85675bc1
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Plain Text - 356 B -
MD5: e7ee8f67aac4f997bd3e7904971511d9
Documentation |
Oct 20, 2016 - DAH - International Journal for Digital Art History
Lincoln, Matthew D., 2016, "Social Network Centralization Dynamics in Print Production in the Low Countries, 1550-1750", https://doi.org/10.11588/data/10071, heiDATA, V2
Data on prints held by the Rijksmuseum and the British Museum, with derived network analysis data and visualization code. |
Oct 20, 2016 - AWI Experimental Economics
Vanberg, Christoph, 2016, "Who never tells a lie? [Data set and Programs]", https://doi.org/10.11588/data/10087, heiDATA, V1
I experimentally investigate the hypothesis that many people avoid lying even in a situation where doing so would result in a Pareto improvement. Replicating (Erat and Gneezy, Management Science 58, 723-733, 2012), I find that a significant fraction of subjects tell the truth in... |
Oct 20, 2016 -
Who never tells a lie? [Data set and Programs]
Plain Text - 7.7 KB -
MD5: e85b89984a283df7f0f8d4d3fb1507c7
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Oct 20, 2016 -
Who never tells a lie? [Data set and Programs]
Plain Text - 55.6 KB -
MD5: b8b9a1cd888abe91cb9df450c3e4c1e2
Text export of z-Tree file |
Oct 20, 2016 -
Who never tells a lie? [Data set and Programs]
Unknown - 29.9 KB -
MD5: 7d3fcc3c9092e5d0260503dafe634ae3
Original z-Tree file |
Oct 20, 2016 -
Who never tells a lie? [Data set and Programs]
Plain Text - 65.3 KB -
MD5: bef225edd76d6fa3d975f5a6e20c757e
Text export of z-Tree file |
Oct 20, 2016 -
Who never tells a lie? [Data set and Programs]
Unknown - 34.0 KB -
MD5: 73e3822593552ee92d1820d648d99a3f
Original z-Tree file |