Olonite Observation Extract (OOEX)

Many researchers have only focused on a single way of collecting data when other methods are available. This study proposes a template for researchers who intend to use the qualitative means in extracting data for analysis. The template shows the Olonite Observation Extract Template (OOEXT)

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Year of publication:	2022
Authors:	Olonite, Oluyemi Ayodele
Publisher:	[S.l.] : SSRN
Subject:	Zeitreihenanalyse \| Time series analysis \| Rohstoffwirtschaft \| Resources sector \| Theorie \| Theory \| Ressourcenökonomik \| Resource economics

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Extent:	1 Online-Ressource (2 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments January 2, 2022 erstellt
Classification:	C15 - Statistical Simulation Methods; Monte Carlo Methods ; C01 - Econometrics ; O41 - One, Two, and Multisector Growth Models ; E58 - Central Banks and Their Policies ; E52 - Monetary Policy (Targets, Instruments, and Effects) ; f65 ; H83 - Public Administration ; H87 - International Fiscal Issues ; P43 - Public Economics; Financial Economics ; c18
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014081026