are estimated, GMM estimators are almost always used. We examine the validity of using likelihood based estimation in this …

that non-random panel attrition is of little concern for prime-aged male labor supply estimation because the effect of …

We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors …

with discrete and continuous choice variables. The solution method we develop for structural estimation extends the en … estimator for structural estimation of a life-cycle model of con- sumption with discrete retirement decisions. …

accumulation in a structural life-cycle model. We use two complementary estimation strategies: first, we estimate the Euler equation … substantially higher than without temptation. Finally, our Method of Simulated Moments estimation is able to match well the life … the importance of temptation are robust to the different estimation strategies. …

We consider nonparametric identification and estimation of pricing kernels, or equivalently of marginal utility … estimation with the computation of a matrix eigenvector problem. Our estimator avoids the ill-posed inverse issues associated …

This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic … chapter is motivated by the principle that, whenever possible, estimation methods should rely on routines available in … sampling inherent in survey longitudinal data, (3) incorporation of predetermined variables in estimation, and (4 …