PPT-Counterfactual

Thinking Negative Event Enhances positive mood May allow for the development of new strategies for future use What is CFT Thoughts about what might have been what could I have done different better. Responsibility. f. or Query Answers and non-Answers. Alexandra Meliou, Wolfgang . Gatterbauer. , . Katherine . Moore, . and . Dan . Suciu. http://db.cs.washington.edu/causality/. 1. Motivating . E. xample: Explanations. From Promises into Evidence. IMPACT. EVALUATION. AND. . This material constitutes supporting material for the "Impact Evaluation in Practice" book. This additional material is made freely but please acknowledge its use as follows: . horwich’s. reply. lewisian. time travel. Eternalism. The B-Theory. The 4D view. lewisian. time travel. One cannot change the past.. One can commit . grampatricide. .. One can commit . retrosuicide. would feel about a counterfactual situation in which an event is simply Marc Shotland. Training Director and . Senior Research . Manager. J-PAL. What is….. 2. What is . J-PAL?. Research . center within the . Economics Department . of MIT. A network of 51 affiliated professors. Shwetlena. . Sabarwal. . (thanks to Markus Goldstein for the slides). Objective. Find a plausible counterfactual. Every non-experimental method is associated with an assumption. The stronger the assumption the weaker the estimate. proposes more holistic perspectives. What’s involved in “rigorous impact evaluation”?. . Presented by Jim Rugh. t. o NONIE Conference in Paris 28 March 2011 . Join me in a review the basics of:. f. or Query Answers and non-Answers. Alexandra Meliou, Wolfgang . Gatterbauer. , . Katherine . Moore, . and . Dan . Suciu. http://db.cs.washington.edu/causality/. 1. Motivating . E. xample: Explanations. Identify. cause - effect. 2. e. nable good policy decisions. 3. LET’S HAVE ICE CREAM. Confusing correlation with causation is easy and may provoke bad policy . decisions. 4. LET’S HAVE ICE CREAM. Models. and Impact Evaluation. Pasquale Lucio Scandizzo. University. of Rome «Tor Vergata. » and The World . Bank. The . three. . problems. . of impact . evaluation. (. Heckman. , 2010). P1. Evaluating . 12 June 2013. Overview. Predatory pricing. Counterfactual in NZ. Criticism and proposal. Predatory Pricing. Predation Phase: lowering prices in order to foreclose competition. Recoupment Phase: Reap monopoly profits and recoup losses of predation phase. Greg Lewis (MSR and NBER). Matt Taddy (MSR and Chicago). Goal. To work out how to use instrumental variables for counterfactual prediction using (arbitrary) machine learners. To explore the practicalities of implementing this approach using deep neural nets. Grammaticalization . and Reanalysis in Hebrew. Elior Elkayam. Tel Aviv University. The 5. th.  International Conference For Graduate Students On Diverse Approaches To Linguistics. 0. Introduction. Lecture 12: Causality 3. Guest lecturer: Tadeg . Quillien. School of Informatics, University of Edinburgh. Last week: causal inference. Oxygen. Wood. Spark. Fire. How can we discover the general causal relations among all these things?.