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Robust inference in panel data microeconometrics, using R

Giovanni Millo
2021
  • book part

Abstract
This chapter is written as a quick companion to the practicing microeconometrician who wants to use R for her analysis. It is concerned with relaxing the restrictive hypotheses of error homoskedasticity and performing robust inference in the context of panel data. This chapter has two main bodies: the first part is introducing the reader to the mechanics of panel data econometrics with R as a necessary step towards the second part, where I expand upon the various robust estimators available in the plm package and how to employ them in a microeconometric context.
Archivio
http://hdl.handle.net/11368/3027484
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85129845872
https://www.e-elgar.com/shop/gbp/handbook-of-research-methods-and-applications-in-empirical-microeconomics-9781788976473.html
Diritti
open access
license:digital rights management non definito
license:copyright dell'editore
license uri:iris.pri00
license uri:publisher
FVG url
https://arts.units.it/request-item?handle=11368/3027484
Soggetti
  • Panel data

  • Microeconometric

  • Robust inference

  • R software

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