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A Course in Microeconomic Theory
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Citations
Cited by
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Schultz, W. (2015) · Physiological Reviews · doi:10.1152/physrev.00023.2014 · Cited by 1,126
Bergen, M., Dutta, S., & Walker, O. C. (1992) · Journal of Marketing · doi:10.1177/002224299205600301 · Cited by 1,105
Dopamine reward prediction-error signalling: A two-component response
Schultz, W. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2015.26 · Cited by 1,036
Neurobiology of economic choice: a good-based model
Padoa-Schioppa, C. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113648 · Cited by 600
Down with MNE-centric theories! Market entry and expansion as the bundling of MNE and local assets
Hennart, J.-F. (2009) · Journal of International Business Studies · doi:10.1057/jibs.2009.42 · Cited by 585
Why are some international agreements informal?
Lipson, C. (1991) · International Organization · doi:10.1017/s0020818300033191 · Cited by 585
Reward Value Coding Distinct From Risk Attitude-Related Uncertainty Coding in Human Reward Systems
Tobler, P. N., O'Doherty, J. P., Dolan, R. J., & Schultz, W. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00745.2006 · Cited by 472
Ecological Economics: An Introduction
Common, M., & Stagl, S. (2005) · doi:10.1017/cbo9780511805547 · Cited by 338
How Probable is Cyber War? Bringing IR Theory Back In to the Cyber Conflict Debate
Junio, T. J. (2013) · Journal of Strategic Studies · doi:10.1080/01402390.2012.739561 · Cited by 114
Learning to Wait: A Laboratory Investigation
OPREA, R., FRIEDMAN, D., & ANDERSON, S. T. (2009) · Review of Economic Studies · doi:10.1111/j.1467-937x.2009.00543.x · Cited by 65
Chung, H.-K., Tymula, A., & Glimcher, P. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.1171-17.2017 · Cited by 40
Slow and Stale Gradients Can Win the Race
Dutta, S., Wang, J., & Joshi, G. (2021) · IEEE Journal on Selected Areas in Information Theory · doi:10.1109/jsait.2021.3103770 · Cited by 40
Costly and discrete communication: an experimental investigation
Duffy, S., Hartwig, T., & Smith, J. (2014) · Theory and Decision · doi:10.1007/s11238-013-9380-5 · Cited by 7
Metadata
- Authors
- Kreps, D. M.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 1990-12-31
- OpenAlex
- W4299440932
- Cited by
- 1,324
- References
- 0
- FWCI
- 69.10
- Type
- book
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.