2010
DOI: 10.1257/jel.48.2.281
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Regression Discontinuity Designs in Economics

Abstract: This paper provides an introduction and "user guide" to Regression Discontinuity (RD) designs for empirical researchers. It presents the basic theory behind the research design, details when RD is likely to be valid or invalid given economic incentives, explains why it is considered a "quasi-experimental" design, and summarizes different ways (with their advantages and disadvantages) of estimating RD designs and the limitations of interpreting these estimates. Concepts are discussed using examples drawn from t… Show more

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Cited by 3,741 publications
(2,930 citation statements)
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References 91 publications
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“…Observations outside this range are simply discarded. Adopting a small bandwidth will minimize the bias, however the variance might be very large due to the small number of observations (Lee and Lemieux, 2010). In contrast, a larger bandwidth will lead to a smaller variance, but the bias is potentially large.…”
Section: Choice Of the Bandwidthmentioning
confidence: 99%
“…Observations outside this range are simply discarded. Adopting a small bandwidth will minimize the bias, however the variance might be very large due to the small number of observations (Lee and Lemieux, 2010). In contrast, a larger bandwidth will lead to a smaller variance, but the bias is potentially large.…”
Section: Choice Of the Bandwidthmentioning
confidence: 99%
“…our preferred specifications are drawn from local linear regressions, we still present results for a variety of bandwidths and functional forms, as has become standard in the RD literature (Lee and Lemieux, 2010). The results are robust to these varying specifications leading us to conclude that passing the Baccalaureate exam from the first attempt results in significant differences in quality of schooling and subsequent labor market outcomes.…”
Section: Identification Strategymentioning
confidence: 87%
“…We use a standard regression discontinuity framework (Lee and Lemieux, 2010;Imbens and Lemieux, 2008) to estimate the effects of passing the Baccalaureate exam from the first try (treatment) on educational attainment, quality of education and future labor market outcomes. The key identifying assumption underlying an RD design is that all determinants of future outcomes vary smoothly across the threshold.…”
Section: Identification Strategymentioning
confidence: 99%
See 1 more Smart Citation
“…29 For instance, the first line refers to a regression of the log of living space, the second to a similar regression on the log of 26 See Keele and Titiunik (2013) for a discussion of RDD in a spatial context. 27 For a discussion of RD in economics see Lee and Lemieux (2010). 28 To estimate the boundary effect by SRD we use the code by Nichols (2007).…”
Section: Regression Discontinuity Designmentioning
confidence: 99%