Regression Discontinuity Design and the Evaluation of Seren
Seren Network Evaluation
... the evaluation related to the amount of funding allocated per hub area and long-term funding ...of Seren provision, particularly in those areas where the hub had only been operational for a year or ...
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Seren Network Evaluation
... The evaluation concludes that since its piloting during 2015/16, the Seren Network initiative has been successfully expanded over a relatively short timeframe so as to offer a full programme of pan-Wales ...
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Combining the regression discontinuity design and propensity score‐based weighting to improve causal inference in program evaluation
... a regression framework is that there is no way to validate whether the covari- ates have adequately adjusted for imbalances between ...logistic regression equation that reduces each participant’s set of ...
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Regression discontinuity design with covariates
... The regression discontinuity design is a method frequently used in treatment evaluation, when certain e.g. bureaucratic rules imply a threshold at which many subjects change their treatment ...
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Regression discontinuity design with covariates
... The regression discontinuity design is a method frequently used in treatment evaluation, when certain e.g. bureaucratic rules imply a threshold at which many subjects change their treatment ...
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Another look at the regression discontinuity design
... However, the availability of experimental data is rarely encountered in the evaluation of social policies, especially in EU countries. On the other hand, it is very often the case that a policy is targeted to a ...
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Another look at the Regression Discontinuity Design
... THE REGRESSION DISCONTINUITY DESIGN Erich Battistin 1 , Enrico Rettore 2 ABSTRACT The attractiveness of the Regression Discontinuity Design (RDD) for the evaluation of ...
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Applying Regression Discontinuity Design in Institutional Research
... However, an intent-to-treat analysis does not always answer the sub- stantive questions that educational stakeholders have about the effec- tiveness of an intervention. For example, the administrators at Midwest ...
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Three essays on regression discontinuity design and partial identification
... on regression discontinuity (RD) design and partial identification, which are widely used techniques in program ...RD design and instrumental variables (IV) regression share similar ...
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Using Regression Discontinuity Design to Identify the Effect of Zoning
... the regression discontinuity ...an evaluation is to determine the effect that some binary treatment variable zi has on an outcome ...The regression discontinuity design tries to ...
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Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test
... the regression discontinuity context, an analogous evaluation problem may occur in the common case where the treatment assignment rule is public knowledge ...
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Estimating unbiased treatment effects in education using a regression discontinuity design
... of regression discontinuity (RD) designs to provide an unbiased treatment effect while overcoming the ethical concerns plagued by Random Control Trials (RCTs) make it a valuable and useful approach in ...
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Empirical likelihood for regression discontinuity design
... The idea behind the marked empirical likelihood is to construct a non-parametric likelihood for each direction of the support function and assess the resulting process over the domain of all possible directions. ...
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Empirical Likelihood for Regression Discontinuity Design
... nonparametric regression, Li and Racine (2004) studied data-driven cross-validation methods under a general setup and presented desirable theoretical and simulation ...the regression functions at the ...
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Including covariates in the regression discontinuity design
... unemployment between 1986 and 1995 is covered, and the in‡ow sample can be followed up until the end of 1998. We refer to Lalive (2008) for a description of sample adjustments made to the data set. Speci…cally, we ...
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Including Covariates in the Regression Discontinuity Design
... unemployment between 1986 and 1995 is covered, and the in‡ow sample can be followed up until the end of 1998. We refer to Lalive (2008) for a description of sample adjustments made to the data set. Speci…cally, we ...
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Difference in differences and Regression Discontinuity Design
... differences Regression Discontinuity Design Conclusion Intuition Cross-sectional analysis Assume that on top of this data set, you have another with the same data but for FF located in Pennsylvania ...
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Empirical likelihood for regression discontinuity design
... The second issue that has attracted researchers’ attention is the importance of nonparametric meth- ods in RDD analysis (e.g. Sacks and Ylvisaker, 1978, Knafl, Sacks and Ylvisaker, 1985). Since RDD analysis is concerned ...
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Public Policy Applications of Regression Discontinuity Design
... and design an adequately paced curriculum for their language acquisition, or whether lower achieving or Spanish-speaking students learn more effectively among higher achieving or English- speaking ...
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Evaluation of Optimal Unemployment Insurance with Reemployment Bonuses Using Regression Discontinuity (Kink) Design
... RD design relies on the assumption that UI recipients age just above age 45 at layoff and those age just below age 45 at layoff are identical on average except eligibility for extended ...RD design is ...
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