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Regression Discontinuity Designs

The Regression Discontinuity (RD) design is one of the most popular and credible research designs for program evaluation and causal;

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Mostly Harmless Econometrics

essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to;

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Mastering 'Metrics

econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity;

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Analysis Techniques for non-Experimental Data

matching, instrumental variables, the regression discontinuity design, fixed effects models, and trajectory analysis. The book starts with a short;

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Matching, Regression Discontinuity, Difference in Differences, and Beyond

, regression discontinuity, and difference in differences. The book introduces the underlying econometric/statistical ideas, shows what is identified;

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Natural Experiments in the Social Sciences

experiments, regression-discontinuity designs, and instrumental-variables designs, Dunning highlights both the strengths and potential weaknesses;

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Natural Experiments in the Social Sciences

experiments, regression-discontinuity designs, and instrumental-variables designs, Dunning highlights both the strengths and potential weaknesses;

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Data Analysis Using Regression & Multi

for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and;

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Optimal Mixture Experiments

The book dwells mainly on the optimality aspects of mixture designs. As mixture models are a special case of regression models, a general;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as;

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Analysetechnieken voor niet-experimentele gegevens

, regression discontinuity designs, fixed effects modellen en trajectenanalyse. De technieken worden telkens op conceptuele wijze, met een minimum;

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Analysetechnieken voor niet-experimentele gegevens - C.C.J.H. Bijleveld - Paperback (9789462360167)

, regression discontinuity designs, fixed effects modellen en trajectenanalyse. De technieken worden telkens op conceptuele wijze, met een minimum;

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Analysetechnieken voor niet-experimentele gegevens

, regression discontinuity designs, fixed effects modellen en trajectenanalyse. De technieken worden telkens op conceptuele wijze, met een minimum;

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Optimal Covariate Designs

This book primarily addresses the optimality aspects of covariate designs. A covariate model is a combination of ANOVA and regression;

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Econometric Evaluation of Socio Economic Programs

-adjustment, matching, difference-in-differences, instrumental-variables and regression-discontinuity-design and are given practical guidelines for;

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Data Analysis For Research Designs

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression;

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Impact Evaluation

, regression discontinuity designs, quantile treatment effects, and evaluation of dynamic treatments. The book is designed for economics graduate;

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Impact Evaluation

, regression discontinuity designs, quantile treatment effects, and evaluation of dynamic treatments. The book is designed for economics graduate;

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An Introduction to Optimal Designs for Social and Biomedical Research

regression models to advanced designs for multiple linear regression and nonlinear models in a systematic manner. Illustrates design techniques with;

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Design and Analysis of Experiments

Unlike other books on the modeling and analysis of experimental data, Design and Analysis of Experiments: Classical and Regression;

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Design and Analysis of Experiments

Unlike other books on the modeling and analysis of experimental data, Design and Analysis of Experiments: Classical and Regression;

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Univariate and Multivariate General Linear Models

unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs;

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Univariate and Multivariate General Linear Models

unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs;

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Quasi-Experimentation

in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted;

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Causal Analysis in Population Studies

and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard;

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Causal Analysis in Population Studies

and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard;

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The Analysis of Covariance and Alternatives

, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results;

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