COUNTERFACTUALS AND CAUSAL INFERENCE METHODS AND PRINCIPLES FOR SOCIAL RESEARCH ANALYTICAL METHODS FOR SOCIAL RESEARCH

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Counterfactuals And Causal Inference

Author : Stephen L. Morgan
ISBN : 9781316165157
Genre : Social Science
File Size : 71.35 MB
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In this second edition of Counterfactuals and Causal Inference, completely revised and expanded, the essential features of the counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative estimation techniques are first introduced using both the potential outcome model and causal graphs; after which, conditioning techniques, such as matching and regression, are presented from a potential outcomes perspective. For research scenarios in which important determinants of causal exposure are unobserved, alternative techniques, such as instrumental variable estimators, longitudinal methods, and estimation via causal mechanisms, are then presented. The importance of causal effect heterogeneity is stressed throughout the book, and the need for deep causal explanation via mechanisms is discussed.
Category: Social Science

Handbook Of Causal Analysis For Social Research

Author : Stephen L. Morgan
ISBN : 9789400760943
Genre : Social Science
File Size : 78.1 MB
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What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Analysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.
Category: Social Science

Explanation In Causal Inference

Author : Tyler VanderWeele
ISBN : 9780199325870
Genre : Psychology
File Size : 49.57 MB
Format : PDF
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"A comprehensive book on methods for mediation and interaction. The only book to approach this topic from the perspective of causal inference. Numerous software tools provided. Easy-to-read and accessible. Examples drawn from diverse fields. An essential reference for anyone conducting empirical research in the biomedical or social sciences"--
Category: Psychology

Matched Sampling For Causal Effects

Author : Donald B. Rubin
ISBN : 9781139458504
Genre : Mathematics
File Size : 59.10 MB
Format : PDF
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Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area. The articles include fundamental theoretical studies that have become classics, important extensions, and real applications that range from breast cancer treatments to tobacco litigation to studies of criminal tendencies. They are organized into seven parts, each with an introduction by the author that provides historical and personal context and discusses the relevance of the work today. A concluding essay offers advice to investigators designing observational studies. The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers.
Category: Mathematics

Causal Inference In Statistics

Author : Judea Pearl
ISBN : 9781119186861
Genre : Mathematics
File Size : 41.16 MB
Format : PDF, ePub
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Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.
Category: Mathematics

Causality

Author : Judea Pearl
ISBN : 9781139643986
Genre : Science
File Size : 72.62 MB
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Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence (AI) and systems from The Cognitive Science Society.
Category: Science

Event History Modeling

Author : Janet M. Box-Steffensmeier
ISBN : 0521546737
Genre : Political Science
File Size : 58.81 MB
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Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The authors explain the foundational principles of event-history analysis, and analyse numerous examples which they estimate and interpret using standard statistical packages, such as STATA and S-Plus. They review recent and critical innovations in diagnostics, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. They also discuss common problems encountered with time-to-event data, and make recommendations regarding the implementation of duration modeling methods.
Category: Political Science

Propensity Score Analysis

Author : Shenyang Guo
ISBN : 9781452235004
Genre : Mathematics
File Size : 61.92 MB
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Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.
Category: Mathematics

Natural Experiments In The Social Sciences

Author : Thad Dunning
ISBN : 9781107017665
Genre : Business & Economics
File Size : 33.5 MB
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The first comprehensive guide to natural experiments, providing an ideal introduction for scholars and students.
Category: Business & Economics

Identification Problems In The Social Sciences

Author : Charles F. Manski
ISBN : 0674442849
Genre : Social Science
File Size : 77.96 MB
Format : PDF
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The author draws on examples from a range of disciplines to provide social and behavioural scientists with a toolkit for finding bounds when predicting behaviours based upon nonexperimental and experimental data.
Category: Social Science