scholarly journals Pobreza e impunidad, factores relevantes en las variaciones del catolicismo en América Latina / Poverty and Impunity, Relevant Factors in Variations in Catholicism in Latin America

Author(s):  
Luis Antonio Andrade Rosas ◽  
Felipe Gaytán Alcalá ◽  
Carlos Alberto Jiménez-Bandala

In the last 25 years the Catholic population in Latin America has decreased considerably, some studies attribute the increasing secularization to the economic and social changes that marked the end of the 20th century. In this sense, this work aims to analyze the incidence of socioeconomic factors in the reduction of Catholic membership. The methodology is based on econometric linear regression models. The main results show that the catholicity index and economic growth are not related; but the growth of poverty did have a negative effect, particularly when analyzed by region. Finally, by combining violence and corruption, impunity emerges as a significant factor in the variation of Catholicism.

2019 ◽  
Vol 15 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Ribka BR Silitonga ◽  
Zulkarnain Ishak ◽  
Mukhlis Mukhlis

Indonesia as a country rich in natural resources should have better international trade performance in improving exchange rates. This study aims to investigate the effect of exports, imports, and inflation on the rupiah exchange rate in Indonesia during 2006-2017. The data used is secondary data sourced from Bank Indonesia and the Ministry of Commerce of the Republic of Indonesia. The method used is a quantitative approach by applying multiple linear regression models. The findings of this study indicate that exports, imports have a significant negative effect on the rupiah exchange rate. While inflation has no effect on the rupiah exchange rate in Indonesia.


2013 ◽  
Vol 11 (2) ◽  
pp. 147
Author(s):  
. Anjarwati

This study aims to analyze the development of intermediation to economic growth in Indonesia and a significant test whether or not the effect of intermediation on economic growth. From the test results obtained by the coefficient of determination (R2) for multiple linear regression models for 0.916. It means that the independent variables can explain the variation in the dependent variable 91.6% together, then variable t can be seen that variable Interest Rate Loans and lending have a significant effect on economic growth, It is proved that t-count > t-table. Lending to the variable (X1) 7,944 t > t table 2.026, and for variable Interest Rate Loans (X2) 4.521 t-count > t table 2.026. From the analysis has been conducted simultaneously indicates that those independent variables have a significant effect on economic growth, with simultaneous F test results are calculated F value > F 204.012> 3.25. it means that Ho is rejected.


2015 ◽  
Vol 61 (6) ◽  
pp. 3-11 ◽  
Author(s):  
Ricardo Ferraz ◽  
António Portugal Duarte

Abstract Portugal is a member of the group known by investors as ‘PIIGS’, countries characterised by having high public debt and weak economic growth. Using an extended time horizon, 1974–2014, this study seeks to empirically explore the relationship between economic growth and public debt in the PIIGS economies, particularly in the case of Portugal. Based on the estimation of linear regression models, it was concluded that in the last four decades there has been a negative relationship between economic growth and public debt in both cases, which is consistent with the literature. The negative relationship was even more pronounced in the case of the PIIGS than it was in the case of Portugal.


2011 ◽  
Vol 3 (6) ◽  
pp. 383-388
Author(s):  
Yazdan Naghdi ◽  
Mohadese Soltantooye .

Economists pay considerable attention to the influential factors on the economic growth in the framework of the growth models. In the same direction, the relationship between inflation and economic growth in Iran has been investigated during 1978-2008. First, an adjusted model has been designed based on (Barro) model and then the relationship between inflation and economic growth has been estimated using both ARDL and rolling linear regression models. The results derived from the both estimated models showed that the effect of inflation on economic growth is negative and Significance.


2020 ◽  
Vol 15 (1) ◽  
pp. 241-261
Author(s):  
Mokhammad Khukaim Barkhowa

Work engagement affects several aspects of the company. Work engagement is the latest issue in managing human resources (HR). Work engagement is the latest issue in managing human resources (HR). Work engagement is defined as a positive and satisfying mental state related to work characterized by vigor, dedication, and absorption.One maximal work attitude in contributing as a predictor of institutional performance is engagement. The purpose of this study was to analyze the effect of job resources on work engagement through burnout as an intervening variable. The sample of this study was 100 respondents. Sampling using snowball sampling is a sampling technique that first starts with a small amount and then enlarges. Data analysis using multiple linear regression models, simple linear regression models and sobel tests. The results of hypothesis testing job resources positive affect the work engagement, burnout negative affect the work engagement, job resources negative effect on burnout, job resources affect the work engagement through burnout.


2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.


Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.


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