PANEL-DATA ESTIMATES OF CHARITABLE GIVING: A SYNTHESIS OF TECHNIQUES

1991 ◽  
Vol 44 (3) ◽  
pp. 365-381
Author(s):  
KEVIN S. BARRETT
Keyword(s):  
2002 ◽  
Vol 92 (1) ◽  
pp. 371-382 ◽  
Author(s):  
Gerald E Auten ◽  
Holger Sieg ◽  
Charles T Clotfelter
Keyword(s):  

2011 ◽  
Vol 64 (2, Part 2) ◽  
pp. 615-650 ◽  
Author(s):  
Jon Bakija ◽  
Bradley T. Heim
Keyword(s):  

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.


Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh

Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam. The empirical findings show that expanding credit market in the country could lead to higher income inequality. We have not found evidence that supports the hypothesis of an inverted U-shaped relation ever introduced by Greenwood and Jovanovich, although this hypothesis may still hold in a sense that Vietnam has not reached to the inflection point to generate such a curve alike.


2018 ◽  
Vol 18 (5) ◽  

This study examines whether board diversity affects firm performance. We investigate this study using panel data of a sample of S&P 500 firms during a 12 year period. After controlling for industry, firm size, and other board composition variables, we find that all three board diversity variables of interest – gender, ethnicity, and age have a significant influence on firm performance. While ethnicity and age have a positive influence on firm performance, it was found that gender has a negative influence. Implications for future research are discussed.


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