'Regression discontinuity design' diaporamas de présentation

Regression Discontinuity Design

Regression Discontinuity Design. Saralyn Miller Southern Methodist University ____________________ Paper presented at the annual meeting of the Southwest Educational Research Association, San Antonio, TX, February 2-4, 2011. Presentation Outline. What is RDD? Example of RDD. History of RDD.

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Estimating Causal Effects: Using Experimental and Observational Designs

1.01k views • 43 slides

Making the Most out of Discontinuities

Laura Chioda. Making the Most out of Discontinuities. Introduction. Setting : we would like to evaluate policy interventions in an observational setting , i.e. when the analyst cannot manipulate the selection process.

321 views • 22 slides

Class Size and Sorting in Market Equilibrium: Theory and Evidence

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Kristen E. Fong Tatiana Melguizo George Prather Research & Planning Conference 4.2.13

Community College Student Progression through the Preparatory Math Sequence. Kristen E. Fong Tatiana Melguizo George Prather Research & Planning Conference 4.2.13. Presentation Outline. Current study: Data and sample Progression as it has previously been studied

301 views • 20 slides

Steps in Implementing an Impact Evaluation

Steps in Implementing an Impact Evaluation. Nandini Krishnan Africa Impact Evaluation Initiative World Bank March 11, 2009. Step 1: Identify priorities. Know your epidemic Examine sector plan Poverty Reduction Health Long-term Strategy Identify highest priorities for learning in HIV/AIDS

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Larysa Minzyuk - Felice Russo

367 views • 17 slides

Regression Discontinuity Design

Regression Discontinuity Design. William Shadish University of California, Merced. Regression Discontinuity Design. Units are assigned to conditions based on a cutoff score on a measured covariate,

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Overview

Heterogeneous impact of the social program Oportunidades on contraceptive methods use in young adult women living in rural areas : limitations of the regression discontinuity approach.

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Relationships Among Pre-Post Designs

Relationships Among Pre-Post Designs. Pre-Post Designs. O X O O O. Randomized experiment (R) Nonequivalent group design (N) Regression-Discontinuity design (C). The Main Issue. Selection threats Are the groups similar before the treatment?

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Quasi-Experimental Design

Quasi-Experimental Design. Quasi-Experimental Design. The Nonequivalent Groups Design. The Regression-Discontinuity Design. Other Quasi-experimental Designs.

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