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This paper assembles data at the all-India level and for the village of Palanpur, Uttar Pradesh, to document the growing importance, and influence, of the non-farm sector in the rural economy between the early 1980s and late 2000s. The suggestion from the combined National Sample Survey and Palanpur data is of a slow process of non-farm diversification, whose distributional incidence, on the margin, is increasingly pro-poor. The village-level analysis documents that the non-farm sector is not only increasing incomes and reducing poverty, but appears as well to be breaking down long-standing barriers to mobility among the poorest segments of rural society. Efforts by the government of India to accelerate the process of diversification could thus yield significant returns in terms of declining poverty and increased income mobility. The evidence from Palanpur also shows, however, that at the village-level a significant increase in income inequality has accompanied diversification away from the farm. A growing literature argues that such a rise in inequality could affect the fabric of village society, the way in which village institutions function and evolve, and the scope for collective action at the village level. Failure to keep such inequalities in check could thus undermine the pro-poor impacts from the process of structural transformation currently underway in rural India.
Income inequality --- Income mobility --- Inequality --- Labor Markets --- Non-farm employment --- Poverty --- Poverty Reduction --- Regional Economic Development --- Rural diversification --- Rural Poverty Reduction --- Village study
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This paper develops a framework for the quantitative analysis of individual income dynamics, mobility and welfare. Individual income is assumed to follow a stochastic process with two (unobserved) components, component representing measurement error or transitory income shocks and an Autoregressive (AR(1)) component representing persistent changes in income. The analysis uses a tractable consumption-saving model with labor income risk and incomplete markets to relate income dynamics to consumption and welfare, and derive analytical expressions for income mobility and welfare as a function of the various parameters of the underlying income process. The empirical application of the framework using data on individual incomes from Mexico provides striking results. Much of measured income mobility is driven by measurement error or transitory income shocks and therefore (almost) welfare-neutral. A smaller part of measured income mobility is due to either welfare-reducing income risk or welfare-enhancing catching-up of low-income individuals with high-income individuals, both of which have economically significant effects on social welfare. Decomposing mobility into its fundamental components is thus seen to be crucial from the standpoint of welfare evaluation.
Economic Theory & Research --- Income --- Income mobility --- Income risk --- Individual income dynamics --- Inequality --- Labor Policies --- Macroeconomics and Economic Growth --- Roads & Highways --- Transitory income shocks --- Welfare-reducing income risk
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How the optimism gap between rich and poor is creating an increasingly divided societyThe Declaration of Independence states that all people are endowed with certain unalienable rights, and that among these is the pursuit of happiness. But is happiness available equally to everyone in America today? How about elsewhere in the world? Carol Graham draws on cutting-edge research linking income inequality with well-being to show how the widening prosperity gap has led to rising inequality in people's beliefs, hopes, and aspirations.For the United States and other developed countries, the high costs of being poor are most evident not in material deprivation but rather in stress, insecurity, and lack of hope. The result is an optimism gap between rich and poor that, if left unchecked, could lead to an increasingly divided society. Graham reveals how people who do not believe in their own futures are unlikely to invest in them, and how the consequences can range from job instability and poor education to greater mortality rates, failed marriages, and higher rates of incarceration. She describes how the optimism gap is reflected in the very words people use-the wealthy use words that reflect knowledge acquisition and healthy behaviors, while the words of the poor reflect desperation, short-term outlooks, and patchwork solutions. She also explains why the least optimistic people in America are poor whites, not poor blacks or Hispanics.Happiness for All? highlights the importance of well-being measures in identifying and monitoring trends in life satisfaction and optimism-and misery and despair-and demonstrates how hope and happiness can lead to improved economic outcomes.
American Dream. --- Equality --- Social classes --- Social mobility --- United States --- United States. --- USA --- Social conditions. --- Economic conditions. --- Horatio Alger society. --- aspiration. --- behavioral outcomes. --- despair. --- divided society. --- happiness. --- income distribution. --- income mobility. --- inequality. --- life satisfaction. --- misery. --- mobility. --- opioid addiction. --- optimism. --- poor people. --- poor. --- poverty. --- rich people. --- rich. --- stress. --- well-being measures. --- well-being.
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