The pitfalls of ignoring outliers in instrumental variables estimations: An application to the deep determinants of development

Catherine Dehon, Rodolphe Desbordes, Vincenzo Verardi

Research output: Contribution in Book/Catalog/Report/Conference proceedingChapter

Abstract

The extreme sensitivity of instrumental variables (IV) estimators to outliers is a crucial problem too often neglected or poorly dealt with. We address this issue by making the practitioner aware of the existence, usefulness, and inferential implications of robust-to-outliers instrumental variables estimators. We describe how the standard IV estimator can be made robust to outliers, provide a brief description of alternative robust IV estimators, simulate the behaviour of both the standard IV estimator and each robust IV estimator in presence of different types of outliers, and conclude by replicating a celebrated study on the deep determinants of development in order to establish the danger of ignoring outliers in an IV model.

Original languageEnglish
Title of host publicationAdvanced Studies in Theoretical and Applied Econometrics
PublisherSpringer
Pages195-213
Number of pages19
DOIs
Publication statusPublished - 2015

Publication series

NameAdvanced Studies in Theoretical and Applied Econometrics
Volume48
ISSN (Print)1570-5811
ISSN (Electronic)2214-7977

Keywords

  • Asian Tiger
  • Endogenous Regressor
  • Institutional Quality
  • Instrumental Variable
  • Instrumental Variable Estimator

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