scholarly journals Income inequality and population health: a panel data analysis on 21 developed countries

2011 ◽  
Author(s):  
Roberta Torre ◽  
Mikko Myrskylä
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Population Health ◽  
Panel Data Analysis ◽  
Developed Countries

Credit Market Depth and Income Inequality in Vietnam: A Panel-Data Analysis

2016 ◽  
pp. 5-18
Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Financial Development ◽  
Inflection Point ◽  
Panel Data Analysis ◽  
Credit Market ◽  
Method Of Moment ◽  
Market Depth ◽  
Generalized Method Of Moment

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.

Impact of Trade and FDI on Income Inequality: A Panel Data Analysis

2021 ◽  
Vol 23 (3) ◽  
pp. 111-131
Author(s):  
Jae Hwa Lee ◽  
Woo Sung Cho
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Panel Data Analysis

scholarly journals The Outbreak of COVID-19 and Stock Market Responses: An Event Study and Panel Data Analysis for G-20 Countries

2020 ◽  
pp. 097215092095727
Author(s):  
Bhanwar Singh ◽  
Rosy Dhall ◽  
Sahil Narang ◽  
Savita Rawat
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Event Study ◽  
Stock Markets ◽  
Stock Price ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Abnormal Returns ◽  
Developed Countries ◽  
The Impact

This study examines the impact of the COVID-19 outbreak on the stock markets of G-20 countries. We use an event study methodology to measure abnormal returns (ARs) and panel data regression to explain the causes of ARs. Our sample consists of indices in G-20 countries. The observed window comprises 58 days post the COVID-19 outbreak news release in the international media, and the estimation window consists of 150 days before the event date. We find statistically significant negative ARs in the four sub-event windows during the 58 days. Negative ARs are significant for developing as well as developed countries. The findings of this study reveal that cumulative average abnormal return (CAAR) from day 0 to day 43, ranging from –0.70 per cent to –42.69 per cent, is a consequence of increased panic in the stock markets resulting from an increased number of COVID-19 positive cases in the G-20 countries. From day 43 to day 57, CAAR ranging from –42.69 per cent to –29.77 per cent indicates the recovery of stock markets after a major stock price correction due to COVID-19. Additionally, the results of panel data analysis confirm the recovery of stock markets from the negative impact of COVID-19.

Does Financial Development Affect Income Inequality in the U.S. States? A Panel Data Analysis

2019 ◽  
Author(s):  
Manoel Bittencourt ◽  
Shinhye Chang ◽  
Rangan Gupta ◽  
Stephen M. Miller
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Financial Development ◽  
Panel Data Analysis ◽  
The U.S
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