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Complex Questionnaires
Author(s) -
Glazer Jacob,
Rubinstein Ariel
Publication year - 2014
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.3982/ecta11571
Subject(s) - cheating , principal (computer security) , bounded rationality , rationality , construct (python library) , principal–agent problem , psychology , computer science , mathematical economics , social psychology , artificial intelligence , economics , computer security , epistemology , philosophy , corporate governance , finance , programming language
We study a principal–agent model in which the agent is boundedly rational in his ability to understand the principal's decision rule. The principal wishes to elicit an agent's true profile so as to determine whether or not to grant him a certain request. The principal designs a questionnaire and commits himself to accepting certain responses. In designing such a questionnaire, the principal takes into account the bounded rationality of the agent and wishes to reduce the success probability of a dishonest agent who is trying to game the system. It is shown that the principal can construct a sufficiently complex questionnaire that will allow him to respond optimally to agents who tell the truth and at the same time to almost eliminate the probability that a dishonest agent will succeed in cheating.