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Regression Discontinuity Design: When Series Interrupt

In: Regional Perspectives on Policy Evaluation

Author

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  • Marco Percoco

    (Bocconi University)

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.

Suggested Citation

  • Marco Percoco, 2014. "Regression Discontinuity Design: When Series Interrupt," SpringerBriefs in Regional Science, in: Regional Perspectives on Policy Evaluation, edition 127, chapter 0, pages 9-20, Springer.
    • Handle: RePEc:spr:sbrchp:978-3-319-09519-6_2
    DOI: 10.1007/978-3-319-09519-6_2
    as

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