In this paper, we study maximum likelihood estimation and Lagrange multiplier testing of a one-way error components regression model suitable for incomplete panel and including parametrically specified variance functions for both individual-specific and general error disturbances.

We consider social insurance schemes with a two-part benefit formula: a flat (constant) term and a variable term which is proportional to individuals' contributions. The factor of proportionality defines the type of social insurance. We adopt a two-stage political economy approach. At the first,...

This paper defines a decomposition of technical efficiency for a series of nonparametric deterministic reference technologies related to the Free Disposal Hull. More specificaally, introducing several returns to scale assumptions into this non-convex production model allows one to distinguish...

The purpose on this paper is twofold. First, we present an alternative model of agglomeration and trade that displays the main features of the recent economic geography literature while allowing for the derivation of analytical results by means of simple algebra. Second, we show how this...

This paper develops a dynamic model wherein production generates pollution that is viewed as a public bad by consumers. There are two types of consumers : those who are altuist a la Barro-Becker and leave bequests to their children and those who are pure life-cyclers. Both types of consumers...

We study an endogenous business cycle model with Cournotian monopolistic competition and an endogenous number of firms in each sector. Our model is a simple general equilibrium macroeconomic model introducing overlapping generations both of consumers and firms. Firms strategically decide on...

In this paper, we study the welfare effects of monetary policy in a simple overlapping generation economy in which agents voluntary contribute to a public good. Inflation has two effects at equilibrium: it increases voluntary contributions and it misallocates private consumption across time. We...