Yariparametrik Kismi Dogrusal Panel Veri Modelleriyle Uluslararasý Goc

Semiparametric panel data models combines parametric and nonparametric methods in such a way that one part of this approach is parametric and while the other part remains nonparametric. Semiparametric models depend more heavily upon some assumptions than nonparametric models do but they are less restrictive than parametric models. Therefore this method is supposed to reduce the curse of dimensionality problem of nonparametric estimates and obtains more accurate estimates. On the other hand by allowing more flexibility in setting up a model in semiparametric models, one has less risk of error in model building than dealing with parametric models. Migration studies have demonstrated that many variables affect international migration. In this study, our goal is to examine the factors that have some impact on international migration by using some basic macro economic variables which we have considered with random and fixed effect partially linear panel data models.