Arbeitspapier

On Heckits, LATE, and Numerical Equivalence

Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates algebraically equivalent to the instrumental variables (IV) estimator. Our leading example is Heckman’s (1979) two-step (“Heckit”) control function estimator which, with two-sided non-compliance, can be used to compute estimates of a variety of causal parameters. Equivalence with IV is established for a semi-parametric family of control function estimators and shown to hold at interior solutions for a class of maximum likelihood estimators. Our results suggest differences between structural and IV estimates often stem from disagreements about the target parameter rather than from functional form assumptions per se. In cases where equivalence fails, reporting structural estimates of LATE alongside IV provides a simple means of assessing the credibility of structural extrapolation exercises.

Sprache
Englisch

Erschienen in
Series: CESifo Working Paper ; No. 6994

Klassifikation
Wirtschaft
Estimation: General
Methodological Issues: General
Thema
treatment effects
selection models
instrumental variables
control function
selectivity bias
marginal treatment effects

Ereignis
Geistige Schöpfung
(wer)
Kline, Patrick
Walters, Christopher R.
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Kline, Patrick
  • Walters, Christopher R.
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2018

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