Research Publications and Outputs: Recent submissions
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Python Language Companion to Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
Published 2019-11-13This Python Language Companion is drafted as a supplement to the book Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares written by Stephen Boyd and Lieven Vandenberghe (referred to here as VMLS). ...Open AccessBook -
Consistent Estimation of Linear Regression Models Using Matched Data
Published 2017-03-16Economists often use matched samples, especially when dealing with earnings data where a number of missing observations need to be imputed. In this paper, we demonstrate that the ordinary least squares estimator of the ...Open AccessArticle -
Random Effects Models with Deep Neural Network Basis Functions: Methodology and Computation
Published 2017-01-01Deep neural networks (DNNs) are a powerful tool for functional approximation. We describe flexible versions of generalized linear and generalized linear mixed models incorporating basis functions formed by a deep neural ...Open AccessArticle -
Endogenous Environmental Variables In Stochastic Frontier Models
Published 2017-04-09This paper considers a stochastic frontier model that contains environmental variables that affect the level of inefficiency but not the frontier. The model contains statistical noise, potentially endogenous regressors, ...Open AccessArticle