MIT Dept. of Economics Working Papers Series: Recent submissions
Now showing items 160-162 of 1293
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High Dimensional Sparse Econometric Models: An Introduction
(Cambridge, MA: Department of Economics, Massachusetts Institute of Technology., 2011-06-26)In this chapter we discuss conceptually high dimensional sparse econometric models as well as estimation of these models using ℓ1-penalization and post-ℓ1-penalization methods. Focusing on linear and nonparametric regression ... -
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
(Cambridge, MA: Department of Economics; Massachusetts Institute of Technology, 2011-06-13)We propose a pivotal method for estimating high-dimensional sparse linear regression models, where the overall number of regressors p is large, possibly much larger than n, but only s regressors are significant. The method ... -
Conditional Quantile Processes Based on Series or Many Regressors
(Cambridge, MA: Department of Economics; Massachusetts Institute of Technology, 2011-06-01)Quantile regression (QR) is a principal regression method for analyzing the impact of covariates on outcomes. The impact is described by the conditional quantile function and its functionals. In this paper we develop the ...


