Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Yonzan, Nishant"'
Publikováno v:
In Economics and Human Biology January 2024 52
Publikováno v:
In Technological Forecasting & Social Change December 2021 173
Akademický článek
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Autor:
Yonzan, Nishant1 (AUTHOR) NYonzan@gradcenter.cuny.edu, Milanovic, Branko2 (AUTHOR), Morelli, Salvatore3 (AUTHOR), Gornick, Janet2 (AUTHOR)
Publikováno v:
Journal of Economic Inequality. Mar2022, Vol. 20 Issue 1, p67-95. 29p.
The COVID-19 pandemic has had catastrophic economic and human consequences worldwide. This paper tries to quantify the consequences of the pandemic on global inequality and poverty in 2020. Since face-to-face household survey data collection largely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::f1ff2980a1e0acbe7d910b45597bb529
http://documents.worldbank.org/curated/en/099250510052241154/IDU01d94e70603dc804f990b6130751d75dccb52
http://documents.worldbank.org/curated/en/099250510052241154/IDU01d94e70603dc804f990b6130751d75dccb52
Autor:
Castaneda Aguilar, R. Andres, Diaz-Bonilla, Carolina, Fujs, Tony H. M. J., Jolliff, Dean, Lakner, Christoph, Mahler, Daniel G., Nguyen, Minh C., Schoch, Marta, Tetteh-Baah, Samuel K., Viveros Mendoza, Martha C., Wu, Haoyu, Yonzan, Nishant
The September 2022 update to the Poverty and Inequality Platform (PIP) involves two changes to the data underlying the global poverty estimates. First, this update adopts the 2017 Purchasing Power Parities (PPPs) as announced by the World Bank in May
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::87931acfe18d3dc72b6a19ef29512fe2
http://documents.worldbank.org/curated/en/099700509122212929/IDU05b43a261041c504a5f0bb3405d0ef310b9e1
http://documents.worldbank.org/curated/en/099700509122212929/IDU05b43a261041c504a5f0bb3405d0ef310b9e1
Quantifying the impact of the COVID-19 pandemic on poverty in Africa has been as difficult as predicting the path of the pandemic, mainly due to data limitations. The advent of new data sources, including national accounts and phone survey data, prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::3cf04b4df32226f9b623d31e043fb793
https://hdl.handle.net/10986/38014
https://hdl.handle.net/10986/38014
Autor:
Castaneda Aguilar, R. Andres, Dewina, Reno, Diaz-Bonilla, Carolina, Edochie, Ifeanyi N., Fujs, Tony H. M. J., Jolliffe, Dean, Lain, Jonathan, Lakner, Christoph, Ibarra, Gabriel Lara, Mahler, Daniel G., Meyer, Moritz, Montes, Jose, Moreno Herrera, Laura L., Mungai, Rose, Newhouse, David, Nguyen, Minh C., Sanchez Castro, Diana, Schoch, Marta, Sousa, Liliana D., Tetteh-Baah, Samuel K., Uochi, Ikuko, Viveros Mendoza, Martha C., Wu, Haoya, Yonzan, Nishant, Yoshida, Nobu
The April 2022 update to the newly launched Poverty and Inequality Platform (PIP) involves several changes to the data underlying the global poverty estimates. Some welfare aggregates have been changed for improved harmonization, and the CPI, nationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::af9caa8af9284d9a2e1241ce698e3e01
https://hdl.handle.net/10986/37479
https://hdl.handle.net/10986/37479
Autor:
Edochie, Ifeanyi Nzegwu, Freije-Rodriguez, Samuel, Lakner, Christoph, Moreno Herrera, Laura, Newhouse, David Locke, Sinha Roy, Sutirtha, Yonzan, Nishant
This paper nowcasts poverty in India, one of the countries with the largest population below the international poverty line of $1.90 per person per day. Because the latest official household survey dates back to 2011/12, there is considerable uncerta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::fc9b7a607353d24c52be620419cec38a
https://hdl.handle.net/10986/36971
https://hdl.handle.net/10986/36971
Autor:
Narayan, Ambar, Cojocaru, Alexandru, Agrawal, Sarthak, Bundervoet, Tom, Davalos, Maria, Garcia, Natalia, Lakner, Christoph, Mahler, Daniel Gerszon, Montalva Talledo, Veronica, Ten, Andrey, Yonzan, Nishant
This paper examines the short-term implications of the COVID-19 pandemic for inequality in developing countries. The analysis takes advantage of high-frequency phone survey data collected by the World Bank to assess the distributional impacts of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2456::8a2cdea042ec2b11ef015b555e1ca4b9
https://hdl.handle.net/10986/36848
https://hdl.handle.net/10986/36848