Hypothesis Testing Equilibrium in Signaling Games
نویسندگان
چکیده
منابع مشابه
Testing Equilibrium Multiplicity in Dynamic Markov Games∗
This paper proposes several statistical tests for finite state Markov games to examine the null hypothesis that the data are generated from a single equilibrium. We formulate tests of (i) the conditional choice and state transition probabilities, (ii) the steady-state distribution, and (iii) the conditional state distribution given an initial state. In a Monte Carlo study we find that the test ...
متن کاملFixed-Equilibrium Rationalizability in Signaling Games*
This paper studies equilibrium refinements in signaling games through an examination of rationalizability in derived games obtained by replacing the equilibrium path with a sure outcome that yields the equilibrium payoff to ail players. The informed player chooses between the sure payoff and sending an out-of-equilibrium signal from the original game. Whether or not the strategy of choosing the...
متن کاملLearning, hypothesis testing, and Nash equilibrium
Consider a finite stage game G that is repeated infinitely often. At each time, the players have hypotheses about their opponents' repeated game strategies. They frequently test their hypotheses against the opponents' recent actions. When a hypothesis fails a test, a new one is adopted. Play is almost rational in the sense that, at each point in time, the players' strategies are ε-best replies ...
متن کاملHYPOTHESIS TESTING FOR AN EXCHANGEABLE NORMAL DISTRIBUTION
Consider an exchangeable normal vector with parameters ????2, and ?. On the basis of a vector observation some tests about these parameters are found and their properties are discussed. A simulation study for these tests and a few nonparametric tests are presented. Some advantages and disadvantages of these tests are discussed and a few applications are given.
متن کاملLINEAR HYPOTHESIS TESTING USING DLR METRIC
Several practical problems of hypotheses testing can be under a general linear model analysis of variance which would be examined. In analysis of variance, when the response random variable Y , has linear relationship with several random variables X, another important model as analysis of covariance can be used. In this paper, assuming that Y is fuzzy and using DLR metric, a method for testing ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2016
ISSN: 1556-5068
DOI: 10.2139/ssrn.2795539