What Can New Survey Data Tell Us about Recent Changes in Distribution and Poverty?

Ravallion, Martin; Chen, Shaohua

doi:10.1093/wber/11.2.357

Cited by 651 publications

(482 citation statements)

References 13 publications

Supporting

Mentioning

422

Contrasting

Unclassified

Order By: Relevance

“…The prevailing paradigm in the economics literature is that with economic growth, as measured with an increase in GDP, there is an increase in economic inequality. That is, the poor become poorer in relative, and sometimes even in absolute, terms (Ravallion and Chen 1997;Fields 2003). Our result is consistent with that hypothesis, and the size of the estimated coefficient is within the boundaries of what one could expect.…”

Section: Discussion Of the Resultssupporting

confidence: 91%

Modeling Impact of Hurricane Damages on Income Distribution in the Coastal U.S.

Miljkovic

Miljković

2014

Int J Disaster Risk Sci

View full text Add to dashboard Cite

This article examines the impact of catastrophic hurricane events on income distribution in hurricane states in the United States. Media claims have been made and the perception created that the most damaging impact of hurricanes is on the lowest income population in the affected states. If these claims are true, they may have serious implications for the insurance industry and government policy makers. We develop a panel data, fixed effects econometric model that includes hurricane-impacted states as cross-sections using annual data for a period of almost 100 years. The Gini coefficient is used as a measure of income inequality, and is a function of normalized hurricane economic damages, gross domestic product (GDP), a set of socioeconomic variables that serves as a control, time trend, and cross-sectional dummy variables. Findings indicate that for every 100 billion US dollars in hurricane economic damages there is an increase in income inequality by 5.4 % as measured by Gini coefficient. Political, sociodemographic, and economic variables are also significant. These include such variables as the political party controlling the U.S. Senate, the proportion of nonwhite population by state, and GDP. Time trend is a positive and significant variable, suggesting an increase in income inequality over time. There are significant differences among the states included in the study. Our results demonstrate that different segments of the population are differently impacted by hurricanes and suggest how that differential impact could be considered in future government policies and business decisions, particularly those made by the insurance industry.

show abstract

Section: Discussion Of the Resultssupporting

confidence: 91%

Modeling Impact of Hurricane Damages on Income Distribution in the Coastal U.S.

Miljkovic

Miljković

2014

Int J Disaster Risk Sci

View full text Add to dashboard Cite

show abstract

“…39 This finding is in line with Mosley et al (2004) and Ravallion & Chen (1997 Table 7 is built up in a similar way to Table 6 and shows how IMF programs affect income inequality in our sample. The results based on treatment effect regressions indicate that program participation is connected to higher income inequality measured both before redistribution (Gini gross), and afterwards (Gini net).…”

Section: Averaging Results and Robustnesssupporting

confidence: 78%

“…44 Meschi & Vivarelli (2009) find a deterioration in income equality due to high levels of inflation. 45 These results are in line with Kuznets (1955), Nissanke & Thorbecke (2006), and Ravallion & Chen (1997).…”

Section: Have Things Changed After 2000?supporting

confidence: 64%

Revisiting the Effects of IMF Programs on Poverty and Inequality

Oberdabernig

2013

World Development

View full text Add to dashboard Cite

“…Ravallion and Chen (1997) show that a 10% increase in the mean standard of living leads to an average reduction of 31% in the proportion of the population below the poverty line-indicating that growth leads to a reduction in poverty incidence. Dollar and Kraay (2002) also show that the average income of the poor in a countrydefined as those who belong to the poorest quintile of society-rises proportionately with the country's average incomes based on a dataset of 92 countries over 1950 to 1999.…”

Section: Economic Growth and Poverty Reductionmentioning

confidence: 98%

“…cross-country analyses (e.g., Dollar and Kraay 2002, Ravallion 2004, Ravallion and Chen 1997 show that economic growth and poverty reduction are indeed strongly and positively correlated. Ravallion and Chen (1997) show that a 10% increase in the mean standard of living leads to an average reduction of 31% in the proportion of the population below the poverty line-indicating that growth leads to a reduction in poverty incidence.…”

Section: Economic Growth and Poverty Reductionmentioning

confidence: 99%

Financial Sector Development, Economic Growth, and Poverty Reduction: A Literature Review

Zhuang¹,

Gunatilake

Niimi

et al. 2009

SSRN Journal

View full text Add to dashboard Cite

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The views expressed in this paper are those of the author(s) and do not necessarily reflect the views or policies of the Asian Development Bank. Terms of use: Documents inThe ADB Economics Working Paper Series is a forum for stimulating discussion and eliciting feedback on ongoing and recently completed research and policy studies undertaken by the Asian Development Bank (ADB) staff, consultants, or resource persons. The series deals with key economic and development problems, particularly those facing the Asia and Pacific region; as well as conceptual, analytical, or methodological issues relating to project/program economic analysis, and statistical data and measurement. The series aims to enhance the knowledge on Asia's development and policy challenges; strengthen analytical rigor and quality of ADB's country partnership strategies, and its subregional and country operations; and improve the quality and availability of statistical data and development indicators for monitoring development effectiveness.

show abstract

What Can New Survey Data Tell Us about Recent Changes in Distribution and Poverty?

Cited by 651 publications

References 13 publications

Modeling Impact of Hurricane Damages on Income Distribution in the Coastal U.S.

Modeling Impact of Hurricane Damages on Income Distribution in the Coastal U.S.

Revisiting the Effects of IMF Programs on Poverty and Inequality

Financial Sector Development, Economic Growth, and Poverty Reduction: A Literature Review

Contact Info

Product

Resources

About