Linear programming-based estimators in simple linear regression
type: Item
instance of: scholarly article
title: Linear programming-based estimators in simple linear regression
zbMATH Open document ID: 1441.62845
author: Daniel Preve
author: Marcelo C. Medeiros
published in: Journal of Econometrics
publication date: 2016-08-12T00:00:00Z
full work available at URL: http://hdl.handle.net/10419/176050
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6616797
zbMATH Keywords: linear regression
zbMATH Keywords: endogeneity
zbMATH Keywords: linear programming estimator
zbMATH Keywords: quasi-maximum likelihood estimator
zbMATH Keywords: exact distribution
MaRDI profile type: Publication
OpenAlex ID: W2011883319
cites work: On the Distribution of the Quotient of Two Chance Variables
cites work: Nonlinear Autoregression with Positive Innovations
cites work: Bootstrap Inference for a First-Order Autoregression with Positive Innovations
cites work: Estimation for first-order autoregressive processes with positive or bounded innovations
cites work: Parameter estimation for moving averages with positive innovations
cites work: Limit distributions for linear programming time series estimators
cites work: Likelihood analysis of a first‐order autoregressive model with exponential innovations
DOI: 10.1016/J.JECONOM.2011.05.011
description: scientific article; zbMATH DE number 6616797