The statistical and econometrics literature on causality is more focused on" effects of causes"
than on" causes of effects." That is, in the standard approach it is natural to study the effect of …

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in
our causal investigations in the sciences. There is no doubt that the sciences employ a vast …

This paper aims at assisting empirical researchers benefit from recent advances in causal
inference. The paper stresses the paradigmatic shifts that must be undertaken in moving …

This book seeks to integrate research on cause and effect inference from cognitive science,
econometrics, epidemiology, philosophy, and statistics. It puts forward the work of its author …

1. BACKGROUND The field of statistics has seen many well-meaning crusades against
threats from metaphysics and other heresy. In its founding prospectus of 1834, the Royal …

Seeing and Doing: the Concept of Causation Page 1 Inrernarwnal Srarisrical Revitw (2002).
70,2. Rinted in The Netherim& @ hlemational Sratistical InstiNle Seeing and Doing: the …

For nearly a decade, I have been teaching a relatively small advanced undergraduate/
graduate course on causal inference, sometimes in the Economics Department jointly with …

This essay describes the evolution and recent convergence of two methodological
approaches to causal inference. The first one, in statistics, started with the analysis and …

Experiments offer more reliable evidence on causation than observational studies, which is
not to gainsay the contribution to knowledge from observation. Experiments should be …

We attempt to clarify, and suggest how to avoid, several serious misunderstandings about
and fallacies of causal inference. These issues concern some of the most fundamental …