What you don't see can't hurt you? Panel data analysis and the dynamics of unobservable factors

Arbeitspapier

We investigate the consequences of using time-invariant individual effects in panel data models when the unobservables are in fact time-varying. Using data from the British Offending Crime and Justice panel, we estimate a dynamic factor model of the occurrence of a range of illicit activities as outcomes of young people's development processes. This structure is then used to demonstrate that relying on the assumption of time-invariant individual effects to deal with confounding factors in a conventional dynamic panel data model is likely to lead to spurious gateway effects linking cannabis use to subsequent hard drug use.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: ISER Working Paper Series ; No. 2011-13

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models ; Health: Government Policy; Regulation; Public Health ; Illegal Behavior and the Enforcement of Law
• Thema: Panel data ; Dynamic factor models ; Individual effects ; Illicit drugs ; Crime ; Gateway effect ; Kriminalität ; Drogenmarkt ; Panel

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Hernández, Mónica ; Pudney, Stephen
• Ereignis: Veröffentlichung
• (wer): University of Essex, Institute for Social and Economic Research (ISER)
• (wo): Colchester
• (wann): 2011

Weitere Informationen

• Handle: http://hdl.handle.net/10419/65953
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ