Poverty, the Middle Class, and Income Distribution amid COVID-19
Albert, Jose Ramon G.; Abrigo, Michael Ralph M.; Quimba, Francis Mark A.; Vizmanos, Jana Flor V. | August 2020
Abstract
Often development focus has been on measuring and analyzing poverty in order to reduce poverty. While the poor face future prospects of being perpetually trapped in poverty, the nonpoor also are vulnerable to poverty. Vulnerability has been particularly recognized in the wake of the impact of the novel coronavirus (COVID-19) that is likely to yield declines in incomes because of reduced economic activities. In this study, we provide an updated profile of the poor in the Philippines, as well as various segments of the income distribution, based on the 2018 Family Income and Expenditure Survey. We follow the typology of the low, middle and high income classes proposed in previous research reports, and simulate the likely effects of contractions in per capita income on poverty and the entire income distribution amid the coronavirus pandemic. In estimating the impact of COVID-19 on poverty, and the income distribution, data are not available at this time. The study makes use of simulation scenarios and assumptions. We find that in a (medium case) scenario of declines of incomes by 10 percent across the entire income distribution, the number of poor Filipinos can increase by 5.5 million, but with the emergency financial subsidies (i.e., the social amelioration program and the small business wage subsidy in. place) that targeted 90 percent of households, the worsening of poverty conditions has been managed so that only 1.5 million would fall into poverty, i.e., 4 million less than expected number of Filipinos falling into poverty. These simulation results are consistent with nowcasting exercises of IFPRI and the World Bank on poverty amid COVID-19 that assume a global GDP contraction of 3 percent. Further, low-income classes would, on average, transition only a quarter year more than the baseline of 21.25 years for this (medium-case) scenario if after the pandemic (and an assumed V-shaped economic recovery), their incomes would have a constant annual growth of 2.5 percent. However, under tougher conditions of income contractions of 20 percent with social protection cash assistance, we simulate that the average time for low income Filipinos to move up into middle income class would increase by three years from baseline figures. Under a protracted recovery, we would thus expect a longer period to transition. These results, though relying on simulation scenarios and simplistic assumptions, are helpful in illustrating the importance of government efforts to provide social protection not only for the poor but also for segments of the income distribution that could likely to fall into poverty given income contractions from reduced economic activities during this COVID-19 pandemic. The study also discusses various policy and data issues, recommending that the Philippine Statistics Authority start reviewing its official poverty measurement system, including the current use of income over expenditure as the poverty metric, as well as the poverty line setting methodology given the changes in income and expenditure patterns in the past decade (prior to the onset of COVID-19) that improved living conditions.
Citation
Albert, Jose Ramon G.; Abrigo, Michael Ralph M.; Quimba, Francis Mark A.; Vizmanos, Jana Flor V.. 2020. Poverty, the Middle Class, and Income Distribution amid COVID-19. © Philippine Institute for Development Studies. http://hdl.handle.net/11540/12319.Keywords
Alleviating Poverty
Anti-Poverty
Extreme Poverty
Fight Against Poverty
Global Poverty
Health Aspects Of Poverty
Indicators Of Poverty
Participatory Poverty Assessment
Poverty Eradication
Poverty Analysis
Poverty In Developing Countries
Poverty Reduction Efforts
Urban Poverty
Disaster preparedness
Disaster prevention
Disaster management
Emergency relief
Flood control
Fire prevention
Natural disasters
Man-made disasters
Post-conflict recovery
Fragile states
Covid
Pandemic
Development Indicators
Environmental Indicators
Economic Indicators
Educational Indicators
Demographic Indicators
Health Indicators
Disadvantaged Groups
Low Income Groups
Socially Disadvantaged Children
Rural Conditions
Rural Development
Social Conditions
Urban Development
Urban Sociology
Income Distribution
Demographic Indicators
Social Justice
Poor
Economic forecasting
Health expectancy
Social groups
Political participation
Distribution of income
Inequality of income
Developing countries
Rural community development
Mass society
Social change
Social policy
Social stability
Population
Sustainable development
Peasantry
Urban policy
Urban renewal
Social change
Social accounting
Inequality of income
Economic growth
Quality of Life
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