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Christopher Muller, Christopher Winship & Stephen L. Morgan

In: The SAGE Handbook of Regression Analysis and Causal Inference

Chapter 13: Instrumental Variables Regression

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Instrumental Variables Regression
Instrumental variables regression
ChristopherMuller, ChristopherWinship and Stephen L.Morgan
Introduction

Because of the presence of unobserved variables, social scientists are often unable to use standard methods such as stratification, matching, or regression to estimate the causal effect of a treatment D on an outcome Y. Instrumental variables (IV) regression provides one potential solution to this problem. IV regression involves finding an exogenous variable, the instrument Z, that affects Y only through the causal variable D. The researcher identifies the causal effect of D on Y by estimating the portion of variation in the outcome Y associated with the treatment D that is attributable to the exogenous variable Z.

In this chapter we introduce IV regression. Our discussion is based in part on the presentation in chapters 3 ...

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