@inbook{a585ae02f3ab4b378fcfa16bcb4416b9,
title = "A History of Causal Analysis in the Social Sciences",
abstract = "In this chapter we provide an overview of the history of causal analysis in the social sciences. We review literature published from the mid-1800s to the present day, tracing the key strains of thought that lead to our current understandings of causal analysis in the social sciences. Given space limitations, we focus on three of the most important strands of causal analysis – those based on (1) constant conjunction and regularity accounts, (2) correlational and path analytic techniques, and (3) potential outcomes and counterfactual frameworks. We then return to the complexity of a Weberian approach, which contains nearly all of the elements of these three major frameworks into a single case-oriented method to causal analysis. We conclude by speculating on the future of causal analysis in the social sciences.",
keywords = "Average Treatment Effect, Causal Analysis, Causal Effect, Female Labor Force Participation, Structural Equation Model",
author = "Barringer, {Sondra N.} and Eliason, {Scott R} and Erin Leahey",
note = "Publisher Copyright: {\textcopyright} 2013, Springer Science+Business Media Dordrecht.",
year = "2013",
doi = "10.1007/978-94-007-6094-3_2",
language = "English (US)",
series = "Handbooks of Sociology and Social Research",
publisher = "Springer Science and Business Media B.V.",
pages = "9--26",
booktitle = "Handbooks of Sociology and Social Research",
}