Identification and estimation using a density discontinuity approach

Hugo Borges Jales, Zhengfei Yu

Research output: Contribution to journalReview article

3 Citations (Scopus)

Abstract

This chapter reviews recent developments in the density discontinuity approach. It is well known that agents having perfect control of the forcing variable will invalidate the popular regression discontinuity designs (RDDs). To detect the manipulation of the forcing variable, McCrary (2008) developed a test based on the discontinuity in the density around the threshold. Recent papers have noted that the sorting patterns around the threshold are often either the researcher's object of interest or may relate to structural parameters such as tax elasticities through known functions. This, in turn, implies that the behavior of the distribution around the threshold is not only informative of the validity of a standard RDD; it can also be used to recover policy-relevant parameters and perform counterfactual exercises.

Original languageEnglish (US)
Pages (from-to)29-72
Number of pages44
JournalAdvances in Econometrics
Volume38
DOIs
StatePublished - 2017

Fingerprint

Discontinuity
Regression discontinuity design
Structural parameters
Tax
Manipulation
Sorting
Exercise
Elasticity

Keywords

  • Density function
  • Density jump
  • Discontinuity
  • Effect structure
  • Sorting

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

Identification and estimation using a density discontinuity approach. / Borges Jales, Hugo; Yu, Zhengfei.

In: Advances in Econometrics, Vol. 38, 2017, p. 29-72.

Research output: Contribution to journalReview article

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