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Tabular Data - 2.7 KB - 9 Variables, 75 Observations - UNF:6:6/kjdgzjo/mOKyhigrHuhQ==
experiment 2 |
Tabular Data - 1.5 KB - 9 Variables, 75 Observations - UNF:6:6/kjdgzjo/mOKyhigrHuhQ==
experiment 2 |
Stata Syntax - 406 B -
MD5: eb347d9aea4caa1851e92c9ab15f0f91
experiment 2 |
Tabular Data - 8.3 KB - 12 Variables, 164 Observations - UNF:6:Owv8E7mpExOC+IAXO99g4g==
experiment 3 |
Tabular Data - 4.5 KB - 12 Variables, 164 Observations - UNF:6:Owv8E7mpExOC+IAXO99g4g==
experiment 3 |
Stata Syntax - 357 B -
MD5: 67822398b3959bc141a16b63e039ccf3
experiment 3 |
MS Word - 13.7 KB -
MD5: 2b04dd80c963e649bbfa3f1fcbaa8d34
experiment 4 |
Tabular Data - 5.8 KB - 12 Variables, 211 Observations - UNF:6:JuZOKZZeN2fek6VYn5WhMQ==
experiment 4 |
Stata Syntax - 751 B -
MD5: 47d1533a716b0d174da3621bc6714903
experiment 4 |
Jan 15, 2019 - AWI Experimental Economics
Dengler, Sebastian; Gerlagh, Reyer; Trautmann, Stefan T.; van de Kuilen, Gijs, 2019, "Climate policy commitment devices [Dataset]", https://doi.org/10.11588/data/R8HGIB, heiDATA, V1, UNF:6:G5JiC8JlmlC3TYlJ68qogw== [fileUNF]
We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interven... |