Artikel

Background indicators

It is customary to assume that an indicator of a latent variable is driven by the latent variable and some random noise. In contrast, a background indicator is also systematically influenced by variables outside the structural model of interest. Background indicators deserve attention because in empirical work they are difficult to distinguish from ordinary effect indicators. This paper assesses instrumental variable (IV) estimation of the effect of a latent variable in a linear model when a background indicator replaces the latent variable. It turns out that IV estimates are inconsistent in many important cases. In some cases, the estimates capture causal effects of the indicator rather than causal effects of the latent variable. A simulation experiment that considers the impact of economic uncertainty on aggregate consumption illustrates some of the results.

Sprache
Englisch

Erschienen in
Journal: Econometrics ; ISSN: 2225-1146 ; Volume: 7 ; Year: 2019 ; Issue: 2 ; Pages: 1-17 ; Basel: MDPI

Klassifikation
Wirtschaft
Methodological Issues: General
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Macroeconomics: Consumption; Saving; Wealth
Thema
causal graph
latent variable
indicator variable
instrumental variable
financial development
stock market volatility

Ereignis
Geistige Schöpfung
(wer)
Raunig, Burkhard
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2019

DOI
doi:10.3390/econometrics7020020
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Raunig, Burkhard
  • MDPI

Entstanden

  • 2019

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