Impact of COVID-19 on India: alternative scenarios for economic and social development

References

• Ahluwalia, Montek S. 1978. “Rural Poverty and Agricultural Performance in India.” The Journal of Development Studies 14 (3): 298–323. doi:10.1080/00220387808421677.
   Web of Science ®Google Scholar
• Azevedo, Joao Pedro; Hasan, Amer; Goldemberg, Diana; Iqbal, Syedah Aroob; Geven, Koen. 2020. Simulating the Potential Impacts of COVID-19 School Closures on Schooling and Learning Outcomes : A Set of Global Estimates. Policy Research Working Paper;No. 9284. World Bank, Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/33945 License: CC BY 3.0 IGO. 
   Google Scholar
• Bils, Mark, and Peter J. Klenow. 2000. “Does Schooling Cause Growth?” American Economic Review 90 (5): 1160–1183. doi:10.1257/aer.90.5.1160.
   Web of Science ®Google Scholar
• Chen, Shaohua, and Martin Ravallion. 2010. “The Developing World is Poorer than We Thought, but No Less Successful in the Fight against Poverty.” The Quarterly Journal of Economics 125 (4): 1577–1625. doi:10.1162/qjec.2010.125.4.1577.
   Web of Science ®Google Scholar
• Das, D. K., A. Z. Erumban, S. Aggarwal, and P. C. Das. 2017. “Measuring Productivity at the Industry Level.” The India KLEMS Data Base – Version 4. https://www.rbi.org.in/Scripts/KLEMS.aspx
   Google Scholar
• Datt, Gaurav; Ravallion, Martin; Murgai, Rinku. 2016. Growth, Urbanization, and Poverty Reduction in India. Policy Research Working Paper;No. 7568. World Bank, Washington, DC. © World Bank. https://openknowledge.worldbank.org/handle/10986/23896 License: CC BY 3.0 IGO.
   Google Scholar
• Deaton, Angus, and Valerie Kozel. 2005. “Data and Dogma.” The World Bank Research Observer 20 (2): 177–200. doi:10.1093/wbro/lki009.
   Web of Science ®Google Scholar
• Ferreira, Francisco H. G., Shaohua Chen, Andrew Dabalen, Yuri Dikhanov, Nada Hamadeh, Dean Jolliffe, Ambar Narayan, et al. 2016. “A Global Count of the Extreme Poor in 2012: Data Issues, Methodology and Initial Results.” The Journal of Economic Inequality 14 (2): 141–172. doi:10.1007/s10888-016-9326-6.
   Web of Science ®Google Scholar
• GoI, MoSPI. 2017. “Youth in India 2017.” Central Statistics Office,  Ministry of Statistics and Programme Implementation, Government of India. Central Statistics Office Ministry of Statistics and Programme Implementation Government of India (Social Statistics Division)
   Google Scholar
• Institute of Economic Growth (IEG). 2020. “Developing Future Socio Economic Scenarios for India in the Context of Climate Change.” NATCOM Project Report. Ministry of Environment, Forest and Climate Change. New Delhi: Government of India.
   Google Scholar
• International Labor Organization (ILO). 2020. “ILO Monitor: COVID-19 and the World of Work.” Geneva, Switzerland.
   Google Scholar
• Laborde, D., W. Martin, and R. Vos. (2020, June 1). Estimating the poverty impact of COVID-19: The MIRAGRODEP and POVANA frameworks 1. https://doi.org/10.13140/RG.2.2.36562.58560
   Google Scholar
• Lutz, Wolfgang, William P. Butz, and KC Samir, eds. 2014. World Population and Human Capital in the Twenty-First Century. Oxford: OUP.
   Google Scholar
• Mahler, Daniel Gerszon, et al. 2020. “The Impact of COVID-19 (Coronavirus) on Global Poverty: Why Sub-Saharan Africa might be the Region Hardest Hit.” Blog. The World Bank, April 20.
   Google Scholar
• McKibbin, Warwick J., and Roshen Fernando. 2020. “The Global Macroeconomic Impacts of COVID-19: Seven Scenarios”. Asian Economic Papers, 1-55 
   Google Scholar
• MOSPI. 2008. “Report of the Group for Examining Discrepancy Inn PFCE Estimates from NSSO Consumer Expenditure Data and Estimates Compiled by National Accounts Division.” New Delhi:Government of India.
   Google Scholar
• Newhouse, David Locke, and Pallavi Vyas. 2018. “Nowcasting Poverty in India for 2014-15: A Survey to Survey Imputation Approach.” Global Poverty Monitoring Technical Note Series 6. Washington, DC: The World Bank.
   Google Scholar
• NITI Aayog. 2016. “Eliminating Poverty: Creating Jobs and Strengthening Social Programs.” Occasional Paper 2. Government of India, Delhi, India.
   Google Scholar
• O’Neill, Brian C., Elmar Kriegler, Kristie L. Ebi, Eric Kemp-Benedict, Keywan Riahi, Dale S. Rothman, Bas J. van Ruijven, et al. 2017. “The Roads Ahead: Narratives for Shared Socioeconomic Pathways Describing World Futures in the 21st Century.” Global Environmental Change 42: 169–180. doi:10.1016/j.gloenvcha.2015.01.004.
   Web of Science ®Google Scholar
• Panagariya, Arvind, and Megha Mukim. 2014. “A Comprehensive Analysis of Poverty in India.” Asian Development Review 31 (1): 1–52. doi:10.1162/ADEV_a_00021.
   Google Scholar
• Pesaran, M. Hashem, and Yongcheol Shin. 1999. “An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis.” In Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium, edited by S. Strom. Cambridge, UK: Cambridge University Press. Pp 371–413.
   Google Scholar
• Pesaran, M. Hashem, Yongcheol Shin, and Richard J. Smith. 2001. “Bounds Testing Approaches to the Analysis of Level Relationships.” Journal of Applied Econometrics 16 (3): 289–326. doi:10.1002/jae.616.
   Web of Science ®Google Scholar
• Planning Commission. 2009. Report of the Expert Group to Review the Methodology for Estimation of Poverty. New Delhi: Government of India.
   Google Scholar
• Planning Commission. 2014. “Report of the Expert Group to Review the Methodology for Estimation of Poverty.” New Delhi: Government of India.
   Google Scholar
• Riahi, Keywan, Detlef P. van Vuuren, Elmar Kriegler, Jae Edmonds, Brian C. O’Neill, Shinichiro Fujimori, Nico Bauer, et al. 2017. “The Shared Socioeconomic Pathways and Their Energy, Land Use, and Greenhouse Gas Emissions Implications: An Overview.” Global Environmental Change 42: 153–168. doi:10.1016/j.gloenvcha.2016.05.009.
   Web of Science ®Google Scholar
• Rozenberg, Julie, Céline Guivarch, Robert Lempert, and Stéphane Hallegatte. 2014. “Building SSPs for Climate Policy Analysis: A Scenario Elicitation Methodology to Map the Space of Possible Future Challenges to Mitigation and Adaptation.” Climatic Change 122 (3): 509–522. doi:10.1007/s10584-013-0904-3.
   Web of Science ®Google Scholar
• Schweizer, Vanessa J., and Brian C. O’Neill. 2014. “Systematic Construction of Global Socioeconomic Pathways Using Internally Consistent Element Combinations.” Climatic Change 122 (3): 431–445. doi:10.1007/s10584-013-0908-z.
   Web of Science ®Google Scholar
• Sumner, A., Hoy, C. & Ortiz-Juarez, E. (2020) Estimates of the impact of COVID-19 on global poverty. WIDER Working Paper 2020/43. Helsinki: UNU-WIDER.
   Google Scholar
• The World Bank. 2018a. “Data Bank – Education Statistics, World Bank.” (http://databank.worldbank.org/data/reports.aspx?Report_Name=ADP&Id=25c76890)
   Google Scholar
• The World Bank. 2018b. “Poverty and Shared Prosperity: Piecing Together the Poverty Puzzle”. Washington, DC: The World Bank.
   Google Scholar
• WEO. 2020. World Economic Outlook - A Long and Difficult Ascent.” Washington, DC: International Monetary Fund.
   Google Scholar