months subsequent to enrolment in the programme. The average treatment effect is identified via a Regression Discontinuity … Design. We validate the design by a set of overidentification tests. For most of the sub-groups we analyse, we find that a … the programme. The average treatment effect is identified via a Regression Discontinuity Design. We validate the design …

-seeking, regression discontinuity design, treatment effect Corresponding author: Tommaso Nannicini Department of Economics … Discontinuity Design (RDD). Specifically, it had two tiers: 75% of members were elected in single-member districts, and 25% were … 2006, however, had distinctive features that can be exploited to control for endogeneity by applying a Regression …

a Regression Discontinuity Design. A major negative impact emerges for workers aged 50 or more granted the monetary …

restrictions delivered by Lee (2008) for the regression discontinuity design. We then use a fuzzy RKD approach to study the effect …

the probability of gaining or retaining employment. Regression discontinuity design (rdd) is employed on a household …

propose a nonparametric multiple rankings regression discontinuity design that exploits the sharp discontinuities in the L488 … rankings and extends the regression discontinuity design (RDD) approach to a context where the treatment is assigned by …

rate (2.5%). We use matching estimators and a sharp regression discontinuity design (RDD) based on the mechanism used by …