scispace - formally typeset
V

Venkataraman Bhaskar

Researcher at University of Texas at Austin

Publications -  84
Citations -  2425

Venkataraman Bhaskar is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Repeated game & Stochastic game. The author has an hindex of 27, co-authored 84 publications receiving 2265 citations. Previous affiliations of Venkataraman Bhaskar include University of Texas System & University of Essex.

Papers
More filters
Posted Content

Minimum Wages in a Symmetric Model of Monopsonistic Competition

TL;DR: In this paper, the employment effect of a minimum wage on employment in a symmetric model of monopsonistic competition, where each employer competes equally with every other employer, was investigated.
Posted Content

Rational adversaries? evidence from randomized trials in the game of cricket

TL;DR: In this article, the authors examined the treatment effects of a coin-tossing game and found significant evidence of inconsistency, with teams often agreeing on who is to bat first.
Posted Content

Is beauty only skin-deep? Disentangling the beauty premium on a game show

TL;DR: This article analyzed behavior on a TV game show where players’ monetary payoffs depend upon an array of factors, including ability in answering questions, perceived cooperativeness and the willingness of other players to choose them.
Posted Content

Insidious discrimination? Disentangling the beauty premium on a game show

TL;DR: This article analyzed behavior on a TV game show where players' monetary payoffs depend upon an array of factors, including ability in answering questions, perceived cooperativeness and the willingness of other players to choose them.
Posted Content

Dynamic Moral Hazard, Learning and Belief Manipulation

TL;DR: In this paper, the authors study dynamic moral hazard, with symmetric ex ante uncertainty and learning, and show that such a misalignment is always profitable for the agent, and must be dissuaded by providing more high-powered incentives.