A new robust ridge parameter estimator having no outlier and ensuring normality for linear regression model

Mermi, Selman; Akkuş, Özge; Göktaş, Atila; Gündüz, Necla

doi:10.1016/j.jrras.2023.100788

Cited by 1 publication

(1 citation statement)

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“…To analyse the relationship between the dependent variables and the independent ones, we used multiple linear regression analysis. However, as Selman Mermi et al [62] state, multicollinearity is a problem usually encountered when using this statistical technique, which can lead to inaccurate estimates for the coefficients, inaccurate confidence levels, incorrect t-tests, or even to the excessive growth of standard deviations [63]. Taking this into consideration, we chose to use a robust estimation in order to avoid creating high variance in the coefficient estimations.…”

Section: Control Variablesmentioning

confidence: 99%

The Impact of LEADER Funding in Romania

Crunțeanu,

Comșa,

Fîntîneru

2024

Sustainability

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Established in 1991 as a European initiative to enhance innovation in rural areas, the LEADER programme became an important tool for the spread of sustainable local development actions in almost all regions of the EU. In Romania, although the programme has generated the implementation of many successful local projects since 2007, quantitative evaluations of its socio-economic impact are extremely limited. The aim of this paper is to evaluate whether LEADER funding has had any effect on the eligible territory of Romania, using multiple linear regression analysis with the evolution of demographic and socio-economic indicators for the 2017–2023 period. The results show that, over a certain amount of euros/ capita absorbed from LEADER at the administrative level (UAT), the positive dynamics of the statistical indicators is confirmed. This analysis represents quantitative proof of the LEADER programme’s added value, maintaining or increasing its European role in the future as a sustainable policy directed towards communities.

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Section: Control Variablesmentioning

confidence: 99%