{"product_id":"counterfactuals-and-causal-inference-methods-and-principles-for-social-research-paperback-9781107694163","title":"Counterfactuals and Causal Inference; Methods and Principles for Social Research (Paperback \/ softback) 9781107694163","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eCounterfactuals and Causal Inference\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eMethods and Principles for Social Research\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eThis new edition aims to convince social scientists to take a counterfactual approach to the core questions of their fields.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eStephen L. Morgan (Author), Christopher Winship (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781107694163, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 17 November 2014\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e515 pages, 64 b\/w illus.\u003cbr\u003e25.3 x 17.6 x 2.8 cm, 0.96 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'The second edition of Counterfactuals and Causal Inference should be part of the personal library of any social scientist who is engaged in quantitative research. For those with a copy of the first edition, purchase of the second edition is indeed well worth the investment.' Peter Messeri, Canadian Studies in Population\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eIn 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePart I. Causality and Empirical Research in the Social Sciences: 1. Introduction\u003cbr\u003e Part II. Counterfactuals, Potential Outcomes, and Causal Graphs: 2. Counterfactuals and the potential-outcome model\u003cbr\u003e 3. Causal graphs\u003cbr\u003e Part III. Estimating Causal Effects by Conditioning on Observed Variables to Block Backdoor Paths: 4. Models of causal exposure and identification criteria for conditioning estimators\u003cbr\u003e 5. Matching estimators of causal effects\u003cbr\u003e 6. Regression estimators of causal effects\u003cbr\u003e 7. Weighted regression estimators of causal effects\u003cbr\u003e Part IV. Estimating Causal Effects When Backdoor Conditioning Is Ineffective: 8. Self-selection, heterogeneity, and causal graphs\u003cbr\u003e 9. Instrumental-variable estimators of causal effects\u003cbr\u003e 10. Mechanisms and causal explanation\u003cbr\u003e 11. Repeated observations and the estimation of causal effects\u003cbr\u003e Part V. Estimation When Causal Effects Are Not Point Identified by Observables: 12. Distributional assumptions, set identification, and sensitivity analysis\u003cbr\u003e Part VI. Conclusions: 13. Counterfactuals and the future of empirical research in observational social science.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e], Social research \u0026amp; statistics [\u003ca title=\"See our other books on Social research \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Social%20research%20\u0026amp;%20statistics%20%5BJHBC%5D%22\"\u003eJHBC\u003c\/a\u003e], Sociology [\u003ca title=\"See our other books on Sociology\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Sociology%20%5BJHB%5D%22\"\u003eJHB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46000670638360,"sku":"9781107694163","price":32.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781107694163i.jpg?v=1694865968","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/counterfactuals-and-causal-inference-methods-and-principles-for-social-research-paperback-9781107694163","provider":"Freshly Printed Books","version":"1.0","type":"link"}