Applications of Two-Stage Least Squares in Causal Analysis and Structural Equations.

Abstract

A procedure, two-stage least squares (2SLS), for analyzing structural equations when one or more explanatory variables are correlated with the error or disturbance term is reviewed. A brief introduction to structural equations and the use of ordinary least squares in causal analysis is presented initially. This is followed by an introduction of 2SLS and the application to 2SLS to designs in which (a) two or more variables are reciprocal causes of each other, (b) one or more variables contain random measurement error, and (c) lagged values of one or more dependent variables are used as predictors. A major objective for the review of these particular applications of 2SLS is to demonstrate how salient problems in psychology can be addressed by use of structural equations. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 11, 1977
Accession Number
ADA038348

Entities

People

  • B. Krishna Singh
  • Lawrence R. James

Organizations

  • Texas Christian University

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Business Administration
  • Data Science
  • Estimators
  • Information Science
  • Management Personnel
  • Military Research
  • Navy
  • Organizational Structure
  • Personnel Management
  • Psychology
  • Simultaneous Equations
  • Social Psychology
  • Social Sciences
  • Statistical Algorithms
  • Statistical Sampling

Fields of Study

  • Mathematics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Calculus or Mathematical Analysis
  • Systems Analysis and Design