Causal inference

Results: 218



#Item
201Econometrics / Observational study / Regression analysis / Philosophy of science / Propensity score matching / Statistical inference / Propensity score / Analysis of variance / Instrumental variable / Statistics / Science / Design of experiments

The Statistics of Causal Inference in the Social Sciences Political Science C236A Statistics C239A Professor Jasjeet Singh Sekhon Class: 4–7pm Tuesday 223 Moses

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Source URL: sekhon.berkeley.edu

Language: English - Date: 2013-09-03 03:11:23
202Observational study / Estimation theory / Statistical theory / Propensity score matching / Matching / Propensity score / Estimator / Mean squared error / Experiment / Statistics / Econometrics / Design of experiments

Alternative Balance Metrics for Bias Reduction in Matching Methods for Causal Inference∗ Jasjeet S. Sekhon† Version: [removed]:38) ∗I

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Source URL: sekhon.berkeley.edu

Language: English - Date: 2008-05-05 03:38:37
203Year of birth missing / Philosophy of science / Statistics education / David Collier / David A. Freedman / Institute for Quantitative Social Science / Gary King / Dirk Berg-Schlosser / Causality / Science / Information / Data

Curriculum Vitae Jasjeet Singh Sekhon February 14, 2014 Contact Information Center for Causal Inference and Program Evaluation

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Source URL: sekhon.berkeley.edu

Language: English - Date: 2014-02-14 05:45:55
204Observational study / Regression analysis / Parametric statistics / Rubin causal model / Propensity score / Donald Rubin / Ignorability / Linear regression / Average treatment effect / Statistics / Econometrics / Design of experiments

The Neyman-Rubin Model of Causal Inference and Estimation via Matching Methods∗ Forthcoming in The Oxford Handbook of Political Methodology, Janet Box-Steffensmeier, Henry Brady, and David Collier, eds. Jasjeet S. Sek

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Source URL: sekhon.berkeley.edu

Language: English - Date: 2007-11-16 18:57:40
205Covariance / Estimation of covariance matrices / Autocovariance / Variance / Matrix / Statistics / Covariance and correlation / Covariance function

AWARDS & ANNOUNCEMENTS Dr. Han Xiao Second Order Inference for Nonstationary Time Series The proposed research is on second order inferences for causal nonstationary processes. While a causal stationary process can be

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Source URL: statistics.rutgers.edu

Language: English - Date: 2013-06-04 15:06:04
206Instrumental variable / Joshua Angrist / Philosophy of science / Causality / Statistics / Economics / Econometrics / Regression analysis

Dr. Thomas Cook Dr. Joshua Angrist Symposium on Causal Inference Featuring Guest Speakers Thomas Cook of Northwestern University and

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Source URL: www.qmp.isr.umich.edu

Language: English - Date: 2009-11-06 09:00:46
207Design of experiments / Regression analysis / Philosophy of science / Observational study / Propensity score matching / Statistical inference / Propensity score / David A. Freedman / Linear regression / Statistics / Science / Econometrics

Political Science 590 Matching for Adjustment and Causal Inference Jake Bowers [removed] http://jakebowers.org

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Source URL: jakebowers.org

Language: English - Date: 2012-01-15 22:39:14
208Design of experiments / Observational study / Medical statistics / Scientific method / Propensity score matching / Matching / Average treatment effect / Confounding / Propensity score / Statistics / Science / Econometrics

The Balance-Sample Size Frontier in Matching Methods for Causal Inference∗ Gary King† Christopher Lucas‡

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Source URL: gking.harvard.edu

Language: English - Date: 2014-04-06 22:28:20
209Covariance / Estimation of covariance matrices / Autocovariance / Variance / Matrix / Statistics / Covariance and correlation / Covariance function

AWARDS & ANNOUNCEMENTS Dr. Han Xiao Second Order Inference for Nonstationary Time Series The proposed research is on second order inferences for causal nonstationary processes. While a causal stationary process can be

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Source URL: www.stat.rutgers.edu

Language: English - Date: 2013-06-04 15:06:04
210Causality / Regression analysis / Philosophy of science / Conditionals / Instrumental variable / Structural equation modeling / Causal thinking / Rubin causal model / Wesley C. Salmon / Statistics / Science / Econometrics

Why ask why? Forward causal inference and reverse causal questions∗ Andrew Gelman† Guido Imbens‡

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Source URL: www.stat.columbia.edu

Language: English - Date: 2013-10-05 13:36:39
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