standard and international trade. The estimation results allow us to formulate some interesting policy conclusions. …

subsectors, at least not given the used identification strategy. This could be due to the fact that this theory regards the …

representing the targeted population, for each trip purpose. This paper presents the final model estimation results for each trip …

campaign level. The use of probability theory as part of the methodology is defended. Finally, an intuitive overview of the …

, sampling theory, statistical estimation, regression analysis, and hypothesis testing. It uses elementary econometrics and other …This course is a self-contained introduction to statistics with economic applications. Elements of probability theory …

the form of the true density, f(x) of X. We describe an estimation procedure of non-parametric regression model at a given …

time distributions between nonadjacent states. This dissertation extends previous work inthe field by developing estimation …

cross validation) p smoothing parameters. Theory fromCOmponent Selection and Shrinkage Operator (COSSO), reduces the problem …

We apply semiparametric efficient estimation procedures for a seemingly unrelated regression model where the … dimensionality problem that typically arises in multivariate semiparametric estimation procedures, because the multivariate …

theory, we propose a weightedblock bootstrapping method for making inferences about the correlation function, where … response. There is literature developing differentmethods for this model; however, there is little theory to support the …