Causal Analysis in Population Studies : Concepts, Methods, Applications

The counterfactual approach to estimate effects of causes from quasi-experimental data or from observational studies was first proposed by Rubin in 1974 and further developed by James Heckman and others.This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference.

1: Causal analysis in population studies: Henriette Engelhardt, Hans Peter Kohler and Alexia Prskawetz.- 2: Issues in the estimation of causal effects in population research, with an application to the effects of teenage childbearing: Robert A. Moffitt.- 3: Sequential potential outcome models to analyze the effects of fertility on labor market outcomes: Michael Lechner.- 4: Structural modelling, exogeneity, and causality: Michel Mouchart, Federica Russo and Guillaume Wunsch.- 5: Causation as a generative process. The elaboration of an idea for the social sciences and an application to an analysis of an interdependent dynamic social system: Hans-Peter Blossfeld.- 6: Instrumental variable estimation for duration date: Govert E. Bijwaard.- 7: Female labour participation with concurrent demographic processes: an estimation for italy: gustavo De Santis and Antonino Di Pino.- 8: New estimates on the effect of parental separation on child health: Shirley H. Liu and Frank Heiland.- 9: Assessing the causal effect of childbearing on household income in Albania: Francesca Francavilla and Alessandra Mattei.- 10: Causation and its discontents: Herbert L. Smith