Recently some new techniques have been proposed for the estimation of the slope coefficients in presence of unobserved components. Though, the presence of common observed and unobserved factors is neither considered or the estimation of their impacts is not taken into account. In this work a...

We propose the relaxation algorithm as a simple and powerful method for simulating the transition process in growth models. This method has a number of important advantages: (1) It can easily deal with a wide range of dynamic systems including multi-dimensional systems with stable eigenvalues...

We propose a new regression method to estimate the impact of explanatory variables on quantiles of the unconditional distribution of an outcome variable. The proposed method consists of running a regression of the (recentered) influence function (RIF) of the unconditional quantile on the...

In this paper we introduce a linear programming estimator (LPE) for the slope parameter in a constrained linear regression model with a single regressor. The LPE is interesting because it can be superconsistent in the presence of an endogenous regressor and, hence, preferable to the ordinary...

El objetivo del presente trabajo es realizar un análisis comparativo entre la metodología comúnmente utilizada por los agentes del mercado local en lo referido a la estimación de Curvas de Rendimiento Cupón Cero (también conocidas como Estructuras Temporales de Tasa de Interés o ETTI),...

We specify an equilibrium model of car ownership with private information where individuals sell and purchase new and second-hand cars over their life-cycle. Private information induces a transaction cost and distorts the market reducing the value of a car as a savings instrument. We estimate...