Institutional Quality, Knightian Uncertainty, and Insurability: A Cross-Country Analysis

2006 ◽  
Author(s):  
S. Nuri Erbas ◽  
Chera L. Sayers
2018 ◽  
pp. 5-24 ◽  
Author(s):  
M. I. Stolbov ◽  
I. O. Goloshchapova ◽  
O. G. Solntsev ◽  
R. R. Akhmetov ◽  
V. A. Pankova ◽  
...  

In this paper, based on a cross-country analysis, the authors distil different models of the financial sector, which are characterized by peculiar interrelations among size, structure, efficiency, stability, inclusion and the institutional quality of financial development. Against this backdrop, the model of the Russian financial sector is described. To identify the financial sector models, cluster analysis involving the EM algorithm with a Bayesian extension is performed on a vast sample of countries. The analysis allows setting key long-term indicators of the Russian financial sector development, taking into consideration its potential of transition to the cluster of more financially advanced economies.


2014 ◽  
Vol 10 (2) ◽  
pp. 231-255 ◽  
Author(s):  
CHRISTOPHER J. BOUDREAUX

Abstract:Income inequality is often attributed to declines in income mobility following the Great Gatsby curve, but this relationship is of secondary importance in determining the factors of income mobility if one considers that changing rules is more important than changing outcomes under defined rules. Rather, improvements in institutional quality are hypothesized to increase income mobility by allowing entrepreneurs the freedom to pursue their dreams. This paper is the first to empirically analyze the institutional determinants behind entrepreneurship, and their effect on income mobility. The findings from a cross-country analysis suggest that secure property rights and less corruption are associated with less income persistence, leading to higher income mobility, independent of the Great Gatsby effect. This suggests that reducing corruption and protection of property rights increase income mobility through the channels of entrepreneurship.


2020 ◽  
Vol 16 (7) ◽  
pp. 1297-1316
Author(s):  
O.N. Terent'eva

Subject. The stable supply of food to people is a cornerstone for the national economic security, while a lack of food or its expensiveness may undermine the economy, principles of power, and cause panics and wars. Malnutrition and hunger are critical indicators of the insufficient foods supply. Objectives. The article indicates which countries have high risk of hunger, and predicts its further movement. I also evaluate factual trends in the availability of food across countries. Methods. The study refers to statistical data in public domain, including the FAOSTAT. I apply methods of ranking, abstraction, prediction. Results. I performed the cross-country analysis and discovered that 117 countries demonstrated signs of malnutrition. The article sets forth a technique for splitting countries into five groups by level of hunger risk. The article compares data on hunger in the countries and consequences of mortality and morbidity. I ranked countries by key types of agricultural products and explained their production growth rates for a span of 18 years. I predicted how countries would be ranked in terms of hunger from 2030 to 2050, and found the extent to which the hunger risk will escalate in more flourishing countries. Conclusions and Relevance. Hunger and shortage of food seem invincible in the countries where people are hungry or very hungry. Sometimes it appears almost impossible for respective governments to solve the issue. Triggering the systemic hunger, such factors and premises are beyond control of starving countries. Hence, the international community should provide their support and aid to them.


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