A Monte Carlo experiment to analyse the curse of dimensionality in estimating random coefficients models with a full variance-covariance matrix

When the dimension of the vector of estimated parameters increases, simulation based methods become impractical, because the number of draws required for estimation grows exponentially with the number of parameters. In simulation methods, the lack of empirical identification when the number of param