We propose a novel method for constructing locally robust/orthogonal moments in a
semiparametric U-statistics setting. These moments are quadratic and have a zero derivative …

Data transformations often facilitate regression analysis, yet many commonly used
transformations make hypothesis testing misleading because the results depend on the …

The relevance condition of integrated conditional moment (ICM) estimators is significantly
weaker than the conventional instrumental variable's in at least two respects:(1) consistent …

Consider the semiparametric transformation model Λ _ θ _o (Y)= m (X)+ ε Λ θ o (Y)= m (X)+
ε, where θ _o θ o is an unknown finite dimensional parameter, the functions Λ _ θ _o Λ θ o …

One of the goals of data analysts is to establish relationships between variables using
regression models. Standard statistical techniques for linear and linear mixed regression …

In this paper we consider the semiparametric transformation model Λθo (Y)= m (X)+ ε, where
θo is an unknown finite dimensional parameter, the function m (·)= E (Λθo (Y)| X=·) is …

Despite their theoretical advantages, Integrated Conditional Moment (ICM) specification
tests are not commonly employed in the econometrics practice. An important reason is that …

The quality of the services provided by a port is important. However, few ports evaluate and
improve the quality of services using scientific quality assurance methods based on …

In this paper, a semiparametric partially linear model in the spirit of Robinson (1988) with
Box-Cox transformed dependent variable is studied. Transformation regression models are …

International institutions and national statistical institutes are increasingly expected to report
disaggregated indicators, ie, means, ratios or Gini coefficients for different regional levels …