Meintanis, Simos G.Einbeck, Jochen2016-09-062016-09-062015Meintanis, S.G. & Einbeck, J, 2015. Validation tests for semi-parametric models. Journal of statistical computation and simulation, 85(1):131-146. [http://dx.doi.org/10.1080/00949655.2013.806922]0094-96551563-5163 (Online)http://hdl.handle.net/10394/18546https://www.tandfonline.com/doi/full/10.1080/00949655.2013.806922https://doi.org/10.1080/00949655.2013.806922Tests are proposed for validation of the hypothesis that a partial linear regression model adequately describes the structure of a given data set. The test statistics are formulated following the approach of Fourier-type conditional expectations first suggested by Bierens [Consistent model specification tests. J Econometr. 1982;20:105–134]. The proposed procedures are computationally convenient, and under fairly mild conditions lead to consistent tests. Corresponding bootstrap versions are compared with alternative procedures for a wide selection of different estimators of the underlying partial linear modelenSemi-linear modelgoodness-of-fit testempirical characteristic functionbootstrap testArticle