Arbeitspapier

On the Identification of the Censored Regression Model with a Stochastic and Unobserved Treshold

We show that a sufficient condition for the identification ofall parameters of the censored regression model with astochastic and unobserved threshold is that the errors are jointlynormally distributed. Exclusion restrictions are not needed.

Language
Englisch

Bibliographic citation
Series: Tinbergen Institute Discussion Paper ; No. 98-034/4

Classification
Wirtschaft
Multiple or Simultaneous Equation Models: Truncated and Censored Models; Switching Regression Models
Subject
censored regression
unobserved threshold
identification
Schätztheorie
Theorie

Event
Geistige Schöpfung
(who)
Ridder, Geert
van Montfort, Kees
Event
Veröffentlichung
(who)
Tinbergen Institute
(where)
Amsterdam and Rotterdam
(when)
1998

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Ridder, Geert
  • van Montfort, Kees
  • Tinbergen Institute

Time of origin

  • 1998

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