Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test
AbstractStandard 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. The methodology is applied to popular elections to the House of Representatives, where sorting is neither expected nor found, and to roll-call voting in the House, where sorting is both expected and found.
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Date of creation: Jan 2007
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Find related papers by JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-01-23 (All new papers)
- NEP-CDM-2007-01-23 (Collective Decision-Making)
- NEP-ECM-2007-01-23 (Econometrics)
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