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Regression Discontinuity Design: When Series Interrupt

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Regional Perspectives on Policy Evaluation

Part of the book series: SpringerBriefs in Regional Science ((BRIEFSREGION))

Abstract

This chapter introduces the identification and estimation of policy effects when outcome variables can be ordered according to a given variable and when the treatment occurs at a given point. The structural change occurring in the outcome variable is in such a case assumed to be the effect of the policy. The assumptions behind Regression Discontinuity Design are hence discussed alongside with extensions for heterogeneous effect.

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Notes

  1. 1.

    For simplicity, we admittedly omit the issue that data are counts and not continuous.

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Authors and Affiliations

  1. Institutional Analysis and Public Management, Bocconi University, Milan, Italy

    Marco Percoco

Authors
  1. Marco Percoco
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Correspondence to Marco Percoco .

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Percoco, M. (2014). Regression Discontinuity Design: When Series Interrupt. In: Regional Perspectives on Policy Evaluation. SpringerBriefs in Regional Science. Springer, Cham. https://doi.org/10.1007/978-3-319-09519-6_2

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