Daniel Martin
Names
first: |
Daniel |
last: |
Martin |
Identifer
Contact
Affiliations
-
Northwestern University
/ Kellogg Graduate School of Management
/ Managerial Economics and Decision Sciences (MEDS)
Research profile
author of:
- Search and Satisficing (repec:aea:aecrev:v:101:y:2011:i:7:p:2899-2922)
by Andrew Caplin & Mark Dean & Daniel Martin - Is No News (Perceived As) Bad News? An Experimental Investigation of Information Disclosure (repec:aea:aejmic:v:13:y:2021:i:2:p:141-73)
by Ginger Zhe Jin & Michael Luca & Daniel Martin - Calibrating for Class Weights by Modeling Machine Learning (repec:arx:papers:2205.04613)
by Andrew Caplin & Daniel Martin & Philip Marx - Perceptions and Detection of AI Use in Manuscript Preparation for Academic Journals (repec:arx:papers:2311.14720)
by Nir Chemaya & Daniel Martin - AI Oversight and Human Mistakes: Evidence from Centre Court (repec:arx:papers:2401.16754)
by David Almog & Romain Gauriot & Lionel Page & Daniel Martin - Testing Capacity-Constrained Learning (repec:arx:papers:2502.00195)
by Andrew Caplin & Daniel Martin & Philip Marx & Anastasiia Morozova & Leshan Xu - The Dual-Process Drift Diffusion Model: Evidence From Response Times (repec:bla:ecinqu:v:54:y:2016:i:2:p:1274-1282)
by Andrew Caplin & Daniel Martin - Testing for Rationality with Consumption Data: Demographics and Heterogeneity (repec:bro:econwp:2011-11)
by Mark Dean & Daniel Martin - Defaults and Attention: The Drop Out Effect (repec:cai:recosp:reco_pr3_0094)
by Andrew Caplin & Daniel Martin - A Testable Theory of Imperfect Perception (repec:cla:levarc:786969000000000649)
by Andrew Caplin & Daniel Martin - Cognitive costs and misperceived incentives: Evidence from the BDM mechanism (repec:eee:eecrev:v:148:y:2022:i:c:s0014292122001155)
by Martin, Daniel & Muñoz-Rodriguez, Edwin - Strategic pricing with rational inattention to quality (repec:eee:gamebe:v:104:y:2017:i:c:p:131-145)
by Martin, Daniel - What do consumers learn from regulator ratings? Evidence from restaurant hygiene quality disclosures (repec:eee:jeborg:v:185:y:2021:i:c:p:234-249)
by Kim, Tami & Martin, Daniel - Modeling machine learning: A cognitive economic approach (repec:eee:jetheo:v:224:y:2025:i:c:s002205312500016x)
by Caplin, Andrew & Martin, Daniel & Marx, Philip - A Testable Theory of Imperfect Perception (repec:hal:journl:halshs-01155313)
by Andrew Caplin & Daniel Martin - Predictive Power in Behavioral Welfare Economics (repec:hal:journl:halshs-01489252)
by Elias Bouacida & Daniel Martin - Unknown
- A Testable Theory of Imperfect Perception (repec:hal:pseptp:halshs-01155313)
by Andrew Caplin & Daniel Martin - Predictive Power in Behavioral Welfare Economics (repec:hal:pseptp:halshs-01489252)
by Elias Bouacida & Daniel Martin - Complex Disclosure (repec:inm:ormnsc:v:68:y:2022:i:5:p:3236-3261)
by Ginger Zhe Jin & Michael Luca & Daniel Martin - A Robust Test of Prejudice for Discrimination Experiments (repec:inm:ormnsc:v:68:y:2022:i:6:p:4527-4536)
by Daniel Martin & Philip Marx - Rational inattention in games: experimental evidence (repec:kap:expeco:v:27:y:2024:i:4:d:10.1007_s10683-024-09843-z)
by David Almog & Daniel Martin - Predictive Power in Behavioral Welfare Economics (repec:lan:wpaper:296961902)
by Elias Bouacida & Daniel Martin - A Testable Theory of Imperfect Perception (repec:nbr:nberwo:17163)
by Andrew Caplin & Daniel Martin - Defaults and Attention: The Drop Out Effect (repec:nbr:nberwo:17988)
by Andrew Caplin & Daniel J. Martin - Is No News (Perceived as) Bad News? An Experimental Investigation of Information Disclosure (repec:nbr:nberwo:21099)
by Ginger Zhe Jin & Michael Luca & Daniel Martin - Complex Disclosure (repec:nbr:nberwo:24675)
by Ginger Zhe Jin & Michael Luca & Daniel J. Martin - Framing, Information, and Welfare (repec:nbr:nberwo:27265)
by Andrew Caplin & Daniel J. Martin - Modeling Machine Learning: A Cognitive Economic Approach (repec:nbr:nberwo:30600)
by Andrew Caplin & Daniel J. Martin & Philip Marx - Rationalizable Learning (repec:nbr:nberwo:30873)
by Andrew Caplin & Daniel J. Martin & Philip Marx - The ABC’s of Who Benefits from Working with AI: Ability, Beliefs, and Calibration (RePEc:nbr:nberwo:33021)
by Andrew Caplin & David J. Deming & Shangwen Li & Daniel J. Martin & Philip Marx & Ben Weidmann & Kadachi Jiada Ye - Predictive Power in Behavioral Welfare Economics (repec:oup:jeurec:v:19:y:2021:i:3:p:1556-1591.)
by Elias Bouacida & Daniel Martin - Perceptions and detection of AI use in manuscript preparation for academic journals (repec:plo:pone00:0304807)
by Nir Chemaya & Daniel Martin - Due Diligence: Job Search with Rationally Inattentive Workers (repec:red:sed015:287)
by Daniel Martin & Chris Tonetti & Andrew Caplin & Joseph Briggs - Consumer Theory with Inattention to Prices (repec:red:sed016:379)
by Daniel Martin - Rationalizable learning (repec:spr:joecth:v:80:y:2025:i:1:d:10.1007_s00199-024-01627-z)
by Andrew Caplin & Daniel Martin & Philip Marx - Measuring Rationality with the Minimum Cost of Revealed Preference Violations (repec:tpr:restat:v:98:y:2016:i:3:p:524-534)
by Mark Dean & Daniel Martin - Comparison of Decisions under Unknown Experiments (repec:ucp:jpolec:doi:10.1086/716104)
by Andrew Caplin & Daniel Martin - A Testable Theory of Imperfect Perception (repec:wly:econjl:v:125:y:2015:i:582:p:184-202)
by Andrew Caplin & Daniel Martin