Artikel

The mega distributed lag model

This paper attempts to describe the graphical behavior of the distributed lag model in an infinite coordinate space. The "mega distributed lag model" (MDL) is a mathematical framework that can examine the simultaneous interrelationships between all involved variables. The multidimensional graphical setting simultaneously reveals all non-linear exposure-response dependencies and delayed effects between lagged and dependent variables-which two-dimensional figures overwhelmingly fail to capture. Under the Omnia Mobilis assumption, each distribution lag function is indexed with respect to time and space. The Mega distributed lag model observes multiple trends in full motion, the final output (determinant) of which is called "the JIM-coefficient". Hence, this paper tries to analyze different approaches of lag distribution models that can help in the construction of our new model. The mega distributed lag model" (MDL) is moving from the uses of the classic 2-dimensional and 3-dimensional graphical modeling to a multidimensional graphical modeling in Econometrics. Finally, this model is an extension of those explored earlier in the field of econographicology.

Sprache
Englisch

Erschienen in
Journal: Contemporary Economics ; ISSN: 2084-0845 ; Volume: 10 ; Year: 2016 ; Issue: 2 ; Pages: 113-122 ; Warsaw: Vizja Press & IT

Klassifikation
Wirtschaft
Econometric and Statistical Methods and Methodology: General
Thema
Econographicology
Distributed lag model
Multi-Dimensional graphs
Multi-Dimensional geometry

Ereignis
Geistige Schöpfung
(wer)
Ruiz Estrada, Mario Arturo
Koutronas, Evangelos
Knippenberg, Ross
Ereignis
Veröffentlichung
(wer)
Vizja Press & IT
(wo)
Warsaw
(wann)
2016

DOI
doi:10.5709/ce.1897-9254.203
Handle
Letzte Aktualisierung
10.03.2025, 11:42 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

  • Artikel

Beteiligte

  • Ruiz Estrada, Mario Arturo
  • Koutronas, Evangelos
  • Knippenberg, Ross
  • Vizja Press & IT

Entstanden

  • 2016

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