conditional distribution of the export intensity, after controlling for censoring and potential endogeneity of the innovation …

endogenous covariates. We also provide a test for exogeneity which indicates whether endogeneity is in fact a matter or not. In … contrast to other methods proposed in the literature which deal with sample selection and endogeneity, our approach is … study and an empirical example are presented which indicate that not accounting for endogeneity in sample selection models …

approximate sparsity of the spatial weights matrix. The proposed estimation methodology exploits the Lasso estimator and mimics … two-stage least squares (2SLS) to account for endogeneity of the spatial lag. The developed two-step estimator is of more … variables is larger than the number of observations. We derive convergence rates for the two-step Lasso estimator. Our Monte …

-normal distribution. The approach is estimated using a number of techniques and compared to OLS based LASSO and ridge regressions in …

-normal distribution. The approach is estimated using a number of techniques and compared to OLS based LASSO and ridge regressions in …