The aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference.

Estimation of causal relationships based on non-experimental data in population studies Comprehensive discussion of available techniques Contributions by the leading scholars in the field

Inhalt
Causal Analysis in Population Studies.- Issues in the Estimation of Causal Effects in Population Research, with an Application to the Effects of Teenage Childbearing.- Sequential Potential Outcome Models to Analyze the Effects of Fertility on Labor Market Outcomes.- Structural Modelling, Exogeneity, and Causality.- 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.- Instrumental Variable Estimation for Duration Data.- Female Labour Participation with Concurrent Demographic Processes: An Estimation for Italy.- New Estimates on the Effect of Parental Separation on Child Health.- Assessing the Causal Effect of Childbearing on Household Income in Albania.- Causation and Its Discontents.