Two-Stage Least Squares Estimation of Average Causal Effects in Models With Variable Treatment Intensity

@inproceedings{ANGRIST2010TwoStageLS,
  title={Two-Stage Least Squares Estimation of Average Causal Effects in Models With Variable Treatment Intensity},
  author={Joshua D. ANGRIST and Guido Imbens},
  year={2010}
}
Two-stage l ast squares (TSLS) is widely used in econometrics to estimate parameters insystems of linear simultaneous equations and to solve problems of omitted-var.ables ia in single-equation estimation. We show here that TSLS can also be used to estimate the average causal effect of variable treatments such as drug dosage, hours of exam preparation, cigarette smoking, and years of schooling. The average causal effect in which we are interested is a conditional expectation of the difference… CONTINUE READING
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Identification and Estimation of Local Average Treatment Effects

  • E. E. Leamer
  • 1994

Generalized MethodofMoments Estimation and Testing

  • T. Permutt, J. Hebel
  • 1985

Effects ofSelfStudy for Coachable Test Item Types

  • J. M. Robins
  • 1984

Instrumental Variables Estimation With Independent Observations

  • S. Wright
  • 1982

Assignment to a Treatment Group on the Basis of a Covariate

  • H. Theil
  • 1977

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