Tackling Poverty Through Panel Data: Rural Poverty in India 1970-1998

Bhide, Shashanka; Mehta, Aasha Kapur

doi:10.2139/ssrn.1756807

Cited by 13 publications

(14 citation statements)

References 3 publications

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“…It is also positively correlated with staying nonpoor and rising out of poverty (see Table 4). hese indings are in line with the discussion of the role of assets in the poverty transitions (Carter and Barrett 2006) as well as with empirical indings from Bhide and Mehta (2005), and Imai, Gaiha, and Kang (2011).…”

Section: Drivers Of Poverty Transitionssupporting

confidence: 82%

“…In addition, there was no evidence of the diference between the vulnerability to poverty across household sungroups as classiied by the head's age. In fact, the poverty dynamics are determined more by the change in the household's livelihood rather than the characteristics of the head (Carter and Barrett 2006), and indings from previous studies do not show the importance of the head's age (Kedir and McKay 2005;Bhide and Mehta 2005). In addition, the education attainment of the household head does not contribute to the diferences in the probability of being in one or another poverty trajectory.…”

Section: Drivers Of Poverty Transitionsmentioning

confidence: 96%

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Income Diversity and Poverty Transitions: Evidence from Vietnam

Tran

2016

World Food Policy

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The large share of the population in rural areas of the developing world has been diversifying their livelihood to nonagricultural activities. However, the amount of the literature that discusses the possible effects of the diversity on a household's well‐being is still limited. This study contributes to this strand of the literature by investigating the effects of income diversity on poverty transitions. The analysis is based on household panel data collected in the 2000s from Vietnam and applied to a multinomial logit model. The results show that households with better access to markets are more able to diversify their income sources to nonagricultural activities and the diversity is helpful for a household to escape poverty or to avoid falling into poverty.

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Section: Drivers Of Poverty Transitionssupporting

confidence: 82%

Section: Drivers Of Poverty Transitionsmentioning

confidence: 96%

Income Diversity and Poverty Transitions: Evidence from Vietnam

Tran

2016

World Food Policy

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“…We have used 3239 households in the panel. The description of the sample and the construction of data are explained in detail by Bhide and Mehta (). A more recent article by Bhide and Mehta () extends the earlier analysis by assessing the influence of economic growth on poverty dynamics.…”

Section: Model and Methodsmentioning

confidence: 99%

“…This article is further extension of analysis carried out in Mehta (2004 and2005). Although panel data were used to identify the factors influencing the incidence and mobility of poverty in the previous articles, this article presents an additional analysis of the changes in the influence of factors over time.…”

Section: Introductionmentioning

confidence: 96%

“…Bhide and Mehta () and Bhide and Mehta () used household panel data for 3239 households at three points of time, that is, 1970–1971, 1981–1982 and 1998–1999, to determine the incidence and mobility of poverty and the factors that affect this. They examined the patterns and movement of rural households across poverty groupings over a period of three decades and found that there is a significant incidence of chronic poverty in rural India (Bhide and Mehta, ). However, the incidence of chronic poverty declined from 28.4% (in 1970–1971 to 1981–1982) to 24.27% (in 1981–1982 to 1998–1999).…”

Section: Introductionmentioning

confidence: 99%

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Poverty in Rural India: Variations in Factors Influencing Dynamics of Chronic Poverty

Dhamija

Bhide

2011

J of Intl Development

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The article studies the dynamics of chronic poverty in rural India. The article attempts to analyse the factors influencing the incidence and mobility of poverty and the changes in the influence of these factors over time. This article uses the household panel survey data collected by NCAER. It examines whether there has been change in the influence of factors such as village level infrastructure, household size and composition, and economic growth on poverty dynamics in different periods of time. The impact of a number of factors changes over time implying that the strategies for poverty reduction would have to take into account the changing economic environment. The article further presents an analysis of growth rate of per capita expenditure for the same set households to analyse the extent of consumption growth, which is also an indicator of poverty reduction for rural India. Copyright © 2011 John Wiley & Sons, Ltd.

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Structural and stochastic transitions of poverty using household panel data in India

Dutta

2021

Poverty & Public Policy

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The paper examines whether the poverty transition or poverty persistency in India, as well as in Indian rural states, is due to state dependence or unobserved heterogeneity. Using panel data from the India Human Development Survey for 2005 and 2012, the study found that structural chronic poverty is high in Bihar, Odisha, Maharashtra, and Uttar Pradesh. Furthermore, general caste and scheduled tribe households have achieved upward mobility due to structural reasons whereas other backward class households have made a stochastic transition and come out of poverty. The bivariate Probit model suggests that there exists a state dependence of the probability of being poor; meaning that past poverty experience does matter in determining the present poverty status of a given household in India. The findings also indicate that female education is one of the important indicators for moving out of poverty. Hence, a crucial policy decision is needed for reducing poverty in a more sustainable way, which will include a targeted social safety net program along with improving the skill level of the household.

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Tackling Poverty Through Panel Data: Rural Poverty in India 1970-1998

Cited by 13 publications

References 3 publications

Income Diversity and Poverty Transitions: Evidence from Vietnam

Income Diversity and Poverty Transitions: Evidence from Vietnam

Poverty in Rural India: Variations in Factors Influencing Dynamics of Chronic Poverty

Structural and stochastic transitions of poverty using household panel data in India

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