Dynamics of Chronic Poverty: Variations in Factors Influencing Entry and Exit of the Chronic Poor

Dhamija, Nidhi; Bhide, Shashanka

doi:10.2139/ssrn.1756726

Cited by 5 publications

(2 citation statements)

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“…The article adopts the probit model for analysing the incidence of poverty, the pooled probit model for the mobility of poverty and the Generalised Least Squares (GLS) for analysing the per capita expenditure growth rate. This article forms a part of the Working Paper by the same authors (Dhamija and Bhide, ).…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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

Dhamija

Bhide

2011

J of Intl Development

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“…These estimates indicate whether the poverty between the two time periods is the same or has changed and helps to distinguish chronic poverty from transitory poverty. Two data sets that have been used to analyze long‐duration poverty in India were the NCAER panel data for rural households (Bhide & Mehata, 2004, 2005; Dhamija & Bhide, 2011; Gaiha, 1988, 1989) and the ICRISAT panel data for semi‐arid areas (Gaiha & Deolaiker, 1993).…”

Section: Literature Reviewmentioning

confidence: 99%

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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India Chronic Poverty Report

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Dynamics of Chronic Poverty: Variations in Factors Influencing Entry and Exit of the Chronic Poor

Cited by 5 publications

References 22 publications

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

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

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

India Chronic Poverty Report

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