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Direct linkBarreca, Alan I.; Lindo, Jason M.; Waddell, Glen R. – National Bureau of Economic Research, 2011
This study uses Monte Carlo simulations to demonstrate that regression-discontinuity designs arrive at biased estimates when attributes related to outcomes predict heaping in the running variable. After showing that our usual diagnostics are poorly suited to identifying this type of problem, we provide alternatives. We also demonstrate how the…
Descriptors: Statistical Bias, Regression (Statistics), Research Design, Monte Carlo Methods
Peer reviewedLiew, Chong K.; And Others – Journal of the American Society for Information Science, 1985
Introduces two data distortion methods (Frequency-Imposed Distortion, Frequency-Imposed Probability Distortion) and uses a Monte Carlo study to compare their performance with that of other distortion methods (Point Distortion, Probability Distortion). Indications that data generated by these two methods produce accurate statistics and protect…
Descriptors: College Faculty, Comparative Analysis, Data Processing, Monte Carlo Methods
