Regression Discontinuity Applications with Rounding Errors in the Running Variable
نویسندگان
چکیده
منابع مشابه
Regression Discontinuity Applications with Rounding Errors in the Running Variable
Many empirical applications of regression discontinuity (RD) models use a running variable that is rounded and hence is discrete, e.g., age in years, or birth weight in ounces. This paper shows that standard RD estimation using a rounded discrete running variable leads to inconsistent estimates of treatment effects, even when the true functional form relating the outcome and the running variabl...
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Standard sufficient conditions for identification in the regression discontinuity design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These continuity assumptions may not be plausible if agents are able to manipulate the running variable. This paper develops a test of manipulation related to continuity of the running variable density function...
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In the absence of a randomized control trial, regression discontinuity (RD) designs can produce plausible estimates of the treatment effect on an outcome for individuals near a cutoff score. In the standard RD design, individuals with rating scores higher than some exogenously determined cutoff score are assigned to one treatment condition; those with rating scores below the cutoff score are as...
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Existing tests for manipulation of the running variable in discontinuity designs are inconsistent when the running variable is discrete. This paper proposes a test that is consistent and approximately UMP unbiased (local to the threshold) when the running variable is discrete. The test exploits the fact that if the discrete running variable—for example, age in quarters—is based on an underlying...
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We develop new techniques for rounding packing integer programs using iterative randomized rounding. It is based on a novel application of multidimensional Brownian motion in R. Let ∼ x ∈ [0, 1] be a fractional feasible solution of a packing constraint Ax ≤ 1, A ∈ {0, 1} that maximizes a linear objective function. The independent randomized rounding method of Raghavan-Thompson rounds each varia...
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ژورنال
عنوان ژورنال: Journal of Applied Econometrics
سال: 2014
ISSN: 0883-7252
DOI: 10.1002/jae.2369