This research states the stylised n players’ splitting problem as a mathematical programme, relying on definitions of the values of the game and problem stationarity to generate tractable reduced forms, and derives the known solutions after pertaining first-order conditions. Boundary...

This research contrasts three econometric alternatives for stochastic efficiency frontier analysis: order – inter-quantile – and inverse order regression under the assumption of truncated error term distribution, and replicated moment estimation. The demonstration departs from a simple...

This note develops the solutions of the static portfolio optimization problem in explicit matrix form. Three cases are contemplated and connected, with the derivation of relevant corner solutions: the unconstrained problem in the presence of risky assets only, the constrained one, and the...

This paper discusses the sensitivity of the labor market outcome in the standard bargaining paradigms - monopoly union and efficient bargaining - to the existence of a budget constraint pending on the financing of the unemployment benefit. Consequences of how the unions value members and...

The discounting of future felicity flows transposes to the inter-temporal optimisation context the assumption of interest-bearing wealth or savings. The validity of the hypothesis has been challenged by several empirical (ir)regularities and by the theoretical implications for human decision...

The paper contrasts the pattern of returns to human capital in different economic sectors. As job mobility, especially across sectors, is limited, it is argued that coefficients of experience in earnings regressions may capture or be interpreted as the growth rate – net of depreciation – of...

This research extends simple two-sector models in order to inquire the impact of the extent of coverage or enforcement of minimum wage legislation in one of the sectors on the equilibrium outcome. Two versions of institutional wage avoidance are presented. They may be seen as representing...