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Two-Stage Least Squares Estimation of Interaction Effects

2017
This chapter provides a largely nontechnical description of an alternative technique to include interactions of latent variables in structural equation models. It also provides a generic description of a model with interactions of latent variables with multiple indicators.
Kenneth A. Bollen, Pamela Paxton
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Estimating Logistic Regressions with Two Stage Least Squares

SSRN Electronic Journal, 2018
I develop an algorithm to estimate a flexible binary regression model with endogeneity by repeatedly solving a two-stage least squares problem; the algorithm is numerically stable and guaranteed to converge regardless of starting value. The method is numerically stable even when a successful outcome is rare because it has a uniformly small condition ...
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A two-stage least-squares procedure for system identification

IEEE Transactions on Automatic Control, 1981
A new two-stage least-squares method is developed for system identification. This method is computationally simpler than earlier methods when the system order is high. The method is then experimentally compared with other methods. Moreover, recursive algorithms for on-line identification are presented along with computer simulation data.
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Simultaneous Equation Models and Two-Stage Least Squares

Sociological Methodology, 1979
In the last several years, sociologists have expanded their interest in simultaneous equation models beyond recursive systems. (See, for example, Duncan and others, 1971; Gurr and Duvall, 1973; Hawkes, 1975; Hibbs, 1973; Kohn and Schooler, 1973; Waite and Stolzenberg, 1976.) The purpose of this chapter is to present some results of potential use in ...
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The Effect of Two-Stage Sampling on Ordinary Least Squares Methods

Journal of the American Statistical Association, 1982
A J Scott, D Holt
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A Note on Ordinary Least Squares Methods for Two-Stage Sampling

Journal of the American Statistical Association, 1984
Ronald Christensen
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