Analysis and Modeling of Corruption among Entrepreneurs

Bribery may eradicate social welfare. In the current research, we inspected the mechanism of bribery behaviour based on the (NASH Theory or Non-Cooperative static game theory) which stated by John Forbes Nash Jr. in 1978. With the general hypothesis of “Rational Player,” two bimatrix game models are settled to evaluate the briber and the bribee strategy choice. After discussing the cost-benefit of the (Participants or players), some useful conclusions and dissolve analysis are drawn out. The current study provides three novel experiments that put both metaphors to the test. Overall, a little quantitative study has investigated sequential unethical behaviour. Insomuch prior studies focus on third-party observers’ acceptance of continuous vs. abrupt immoral acts, or the role of self-control and ethical disengagement in the slippery slope of lesser cheating acts empirical investigation contrasting ongoing to the abrupt occurrence of corruption is missing altogether. Recent advances in empirical corruption studies methodology allow the first examination of these different procedures while preserving the economic costs and benefits constant. In the current study, we used a recently improved corruption game by [Köbis, van Prooijen, Righetti, Van Lange, 2015].

Overconfidence and Timing of Entry

We analyze the impact of overconfidence on the timing of entry in markets, profits, and welfare using an extension of the quantity commitment game. Players have private information about costs, one player is overconfident, and the other one rational. We find that for slight levels of overconfidence and intermediate cost asymmetries, there is a unique cost-dependent equilibrium where the overconfident player has a higher ex-ante probability of being the Stackelberg leader. Overconfidence lowers the profit of the rational player but can increase that of the overconfident player. Consumer rents increase with overconfidence while producer rents decrease which leads to an ambiguous welfare effect.

Exponential Families and Game Dynamics

A symmetric game consists of a set of pure strategies indexed by {0, …, n} and a real payoff matrix (aij). When two players choose strategies i and j the payoffs are aij and aji to the i-player and j-player respectively. In classical game theory of Von Neumann and Morgenstern [16] the payoffs are measured in units of utility, i.e., desirability, or in units of some desirable good, e.g. money. The problem of game theory is that of a rational player who seeks to choose a strategy or mixture of strategies which will maximize his return. In evolutionary game theory of Maynard Smith and Price [13] we look at large populations of game players. Each player's opponents are selected randomly from the population, and no information about the opponent is available to the player. For each one the choice of strategy is a fixed inherited characteristic.