We present some application of the generalized Ky Fan's Matching Theorem stated by Chebbi, Gourdel and Hammami in minimax and variational inequalities using a generalized coercivity type condition for correspondences defined in L-space.

We present some application of the generalized Ky Fan's Matching Theorem stated by Chebbi, Gourdel and Hammami in minimax and variational inequalities using a generalized coercivity type condition for correspondences defined in L-space.

We present an extension of Borsuk's antipodal theorem (existence of a zero) for antipodally approachable correspondences without convex values. This result is a generalization of Borsuk-Ulam Theorem and has a fixed-point equivalent formulation.

We introduce a generalized coercivity type condition for set-valued maps defined on topological spaces endowed with a generalized convex structure and we extend the Fan's matching theorem.

We present a generalized FKKM Theorem and it's application to the existence of solution for the variationals inequalities using a generalized coercivity type condition for correspondences defined in L-space.

In this paper, we extend the problem of decentralization of Pareto optima in an economy with production externalities to the case where the production capacities upon which Pareto optimality is defined may differ from the aggregate of the firms expectations about their production possibilities....

This paper investigates the determinants of the shape of regional trade agreements (RTAs). Because the world is constituted by independent political entities, international trade flows take place in a system where property rights are unsecured and RTAs should be understood as regulation...

Since the GATT/WTO hinders tariffs manipulation, the Technical Barriers to Trade (TBT's) are a growing and appealing protection tool. The endogenous protection literature has shown that a government's taste for protection creates an incentive for lobbying. Since regulations at the origin of such...

Non-parametric methods have been empirically proved to be of great interest in the statistical literature in order to forecast stationary time series, but very few applications have been proposed in the econometrics literature. In this paper, our aim is to test whether non-parametric statistical...

In this paper, we discuss the parameter estimation for a k-factor generalized long memory process with conditionally heteroskedastic noise. Two estimation methods are proposed. The first method is based on the conditional distribution of the process and the second is obtained as an extension of...