In econometric risk-adjustment exercises, models estimated with one or more included endogenous explanatory variables ("risk adjusters") will generally result in biased predictions of outcomes of ...

1 University for Development Studies, Navrongo Campus, Tamale, Ghana. 2 University of South Africa (UNISA), Science Campus, Florida, South Africa. 3 C.K. Tedam University of Technology and Applied ...

The paper focuses on two estimation methods that have been widely used to address endogeneity in empirical research in health economics and health services research-two-stage predictor substitution ...

Economic variables are often measured with an error and may be endogenous. In this paper, we give new identification results for the ratio of partial effects in ...

ABSTRACT: This study examines the endogeneity effect on autoregressive linear models of AR (1) in small samples, making use of the Ordinary Least Square (OLS) estimator, Two-Stage Least Squares (2SLS) ...

The R package 'HD_Variable_Selection_under_endogeneity' implements the coding procedure for the research project titled: "Variable Selection and Goodness-of-fit Testing in High-Dimensional Linear ...

Week 1 - Simple Regression Lecture 1.1 Motivation Training Excersice 1.1 Lecture 1.2 on Single Regression: Representation (Training Excersice 1.2) Lecture 1.3 on Single Regression: Estimation ...

The Generalized Method of Moments (GMM) estimator is a statistical technique used for estimating parameters in models, particularly when traditional assumptions such as normality are violated. The ...