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) ...
Often empirical problems do not fit the modeling assumptions of Ordinary Least Squares (OLS) estimation. This workshop looks at two specific scenarios: (1) Nonlinearities in dependent and independent ...
We propose genetic instrumental variable (GIV) regression—a method that controls for pleiotropic effects of genes on two variables. GIV regression is broadly applicable to study outcomes for which ...
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 ...
Analyzed the impact of social media content types and self-featured posts on engagement using linear regression and instrumental variables to address endogeneity. This project investigates how social ...
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