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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.

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Wage Differentiation via Subsidised General Training

TL;DR: In this paper, a new explanation for why firms pay for general training in a competitive labor market is provided, where firms are unable to tailor individual wages to ability, for informational or institutional reasons.
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Oligopsony and the Distribution of Wages

TL;DR: In this paper, a simple model of wage dispersion arising from oligopsonistic competition in the labor market is proposed, which has workers who are equally able but who have heterogeneous preferences for non-wage characteristics.
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The Ratchet Effect Re-examined: A Learning Perspective

TL;DR: In this paper, the authors study dynamic moral hazard where the principal and the agent are symmetrically uncertain about job difficulty, and they show that the agent's continuation value function is non-differentiable and convex, since the principal makes the agent indifferent between his discrete and continuous choices.
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A Foundation for Markov Equilibria in Infinite Horizon Perfect Information Games

TL;DR: In this article, the authors consider perfect information games with an innite horizon played by an arbitrary number of players and show that only Markov equilibria have bounded memory and are puriable.
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Community Enforcement of Trust with Bounded Memory

TL;DR: In this paper, the authors examine how trust is sustained in large societies with random matching, when records of past transgressions are retained for a finite length of time, and propose a coarse information structure that pools recent defaulters with those nearing rehabilitation.