marginal treatment effect. All of the estimation methods used in the applied evaluation literature, such as matching … analysis, in defining limits of policy experiments, in constructing the average marginal treatment effect, and in forecasting …

criticized for being nonrobust when adjusted for serial correlation. Moreover, the forecasting power of these aggregative … incorporate key demographic restrictions and when they are properly aggregated, they have considerable forecasting power …

criticized for being nonrobust when adjusted for serial correlation. Moreover, the forecasting power of these aggregative … incorporate key demographic restrictions and when they are properly aggregated, they have considerable forecasting power …

We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic …

We compare the performance of maximum likelihood (ML) and simulated method of moments (SMM) estimation for dynamic …