The Use of Statistical Parametric Tests in Order to Analyze Economic Data

Ana Petrina Păun () and Codruţa Dura ()
Additional contact information
Ana Petrina Păun: University of Petroşani, Romania
Codruţa Dura: University of Petroşani, Romania

Annals of the University of Petrosani, Economics, 2018, vol. 18, issue 2, 105-118

Abstract: The paper deals with the issue of establishing the most adequate statistical parametric test in order analyze economic sets of data. A sample comprising 35 large corporations from Romania was selected in order to analyze the volume and the quality of occupational health & safety (OHS) disclosures. On the grounds that one dependent variable was defined – the global reporting index - and a number of independent numerical variables were also considered, such as the turnover, the number of employees, the return on capital, the market share and so on, we have performed the appropriate statistical tests in order to verify some hypotheses and to establish the appropriate procedure to be followed in order to analyze the correlations between the variables.

Keywords: Occupational Health & Safety (OHS); t - test; paired t - test; paired samples correlations; the global reporting index (search for similar items in EconPapers)
JEL-codes: C12 C46 C88 J28 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.upet.ro/annals/economics/pdf/2018/p2/Paun_Dura.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pet:annals:v:18:y:2018:i:2:p:105-118

Access Statistics for this article

More articles in Annals of the University of Petrosani, Economics from University of Petrosani, Romania
Bibliographic data for series maintained by Imola Driga ().