Modelling the Influences of Economic, Demographic, and Institutional Factors on Fiscal Pressure Using OLS, PCSE, and FD-GMM Approaches
Alina-Cristina Nuță () and
Florian-Marcel Nuță ()
Additional contact information
Alina-Cristina Nuță: Finance and Business Administration Department, Danubius University, Galați 800654, Romania
Florian-Marcel Nuță: Finance and Business Administration Department, Danubius University, Galați 800654, Romania
Authors registered in the RePEc Author Service: Florian Marcel Nuta ()
Sustainability, 2020, vol. 12, issue 4, 1-12
The purpose of our article is to assess the effect of diverse factors, such as economic, demographic, and institutional factors, on global and social fiscal pressure. The study is based on a panel analysis of 38 states during 2000–2017. We used ordinary least squares (OLS) as a base model for our estimations, and a linear regression with panel-corrected standard errors and a first difference generalized method of moments (GMM) with robust standard errors and orthogonal deviations. The results of our study indicate that the demographic and institutional factors involved in the analysis contribute to the identification of some variables that affect the global or social fiscal pressure.
Keywords: fiscal pressure; government budget; public expenditure; panel data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:4:p:1681-:d:324414
Access Statistics for this article
Sustainability is currently edited by Prof. Dr. Marc A. Rosen
More articles in Sustainability from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().