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The Exact Sampling Distribution of Ordinary Least Squares and Two-Stage Least Squares Estimators
Journal of the American Statistical Association, 1969Abstract This paper presents the exact sampling distributions of the ordinary and the two-stage least squares estimators of a structural parameter in a structural equation with two endogenous variables in a complete system of stochastic equations. The results show that the distributions of the two estimators are essentially similar to each other.
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The Effects of Causal Feedback On Ordinary Least-Squares Estimators
Sociological Methods & Research, 1974When a causal model includes a feedback loop, ordinary least-squares (OLS) is an inappropriate, biased estimation technique. Furthermore, since the system is nonrecursive, a simple application of path analysis or regression is precluded. If the causal feedback is indirect, however, or involves one or more weak causal links, the bias will tend to be ...
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Recovery of Weak Common Factors by Maximum Likelihood and Ordinary Least Squares Estimation
Multivariate Behavioral Research, 2003This article examines the relative performance of two commonly used methods of parameter estimation in factor analysis, maximum likelihood (ML) and ordinary least squares (OLS). It is shown that ML will sometimes fail to recover a known population factor structure when OLS succeeds.
Nancy E, Briggs, Robert C, MacCallum
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Ordinary Least Squares Estimation of Parameters in Exploratory Factor Analysis With Ordinal Data
Multivariate Behavioral Research, 2012Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if they were continuous in practice. An alternative strategy is to assume that a normally distributed continuous variable underlies each ordinal variable. The EFA
Chun-Ting, Lee +2 more
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A Note on the Comparison of Ordinary and Two-Stage Least Squares Estimators
Econometrica, 1971Richardson, David H, Wu, De-Min
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Econometrica, 1973
This paper deals with single-equation estimators in a simultaneous system of linear stochastic equations and approximates the distribution function of the two-stage least-squares estimators up to terms whose order of magnitude is 1//N_, where N is the sample size.
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This paper deals with single-equation estimators in a simultaneous system of linear stochastic equations and approximates the distribution function of the two-stage least-squares estimators up to terms whose order of magnitude is 1//N_, where N is the sample size.
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A minimum matrix valued risk estimator combining restricted and ordinary least squares estimators
Communications in Statistics - Theory and Methods, 2023Buatikan Mirezi +2 more
exaly
A simulation study of biased estimators against the ordinary least squares estimator
Communications in Statistics - Simulation and Computation, 1993C Thiart +3 more
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