scholarly journals Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data

2018 ◽  
Vol 67 (1) ◽  
pp. 131-170 ◽  
Author(s):  
Hai-Anh H. Dang ◽  
Peter F. Lanjouw
Keyword(s):  
Panel Data ◽  
Longitudinal Analysis ◽  
Poverty Dynamics ◽  
Synthetic Panel

BRAND EQUITY: A LONGITUDINAL ANALYSIS OF MIND-SET METRICS WITH PANEL DATA

2018 ◽  
Vol 2018 ◽  
pp. 1448-1450
Author(s):  
Alexander Witmaier ◽  
Keyword(s):  
Panel Data ◽  
Brand Equity ◽  
Longitudinal Analysis ◽  
Mind Set

Vehicle Manufacturers' Decisions on Recall Timing: a Synthetic Panel Data Model

2019 ◽  
Vol 37 (3) ◽  
pp. 1-26
Author(s):  
Yong-Kyun Bae
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Panel Data Model ◽  
Synthetic Panel

The Dynamics of Poverty

2017 ◽  
Author(s):  
Anirudh Krishna
Keyword(s):  
Panel Data ◽  
Social Mobility ◽  
Mixed Method ◽  
Poverty Reduction ◽  
Poverty Dynamics ◽  
Future Directions ◽  
Chronic Poverty ◽  
Ethnographic Studies ◽  
The Social

This article examines the dynamics of poverty and explains why poverty dynamics studies are necessary: to estimate the risk of impoverishment and the probability of escaping poverty; to identify the reasons associated with poverty descents and escapes; to distinguish between transient and chronic poverty; and to elucidate the social mobility prospects of individuals in different economic situations. The article begins with an overview of three types of approaches used in investigating poverty dynamics: panel data studies, participatory poverty assessments and ethnographic studies, and mixed-method studies. This is followed by a discussion of key findings from poverty dynamics studies; one finding is that poverty creation and poverty reduction occur everywhere in tandem. The article concludes by outlining future directions for research into poverty dynamics.

scholarly journals How valid are synthetic panel estimates of poverty dynamics?

2019 ◽  
Vol 17 (1) ◽  
pp. 51-76
Author(s):  
Nicolas Hérault ◽  
Stephen P. Jenkins
Keyword(s):  
Poverty Dynamics ◽  
Panel Estimates ◽  
Synthetic Panel

Switch in Livelihood Strategies and Social Capital Have a Role to Play in Deciding Rural Poverty Dynamics: Evidence from Panel Data Analysis from Eastern India

2019 ◽  
Vol 55 (1) ◽  
pp. 76-94
Author(s):  
Sunil Khosla ◽  
Pradyot Ranjan Jena
Keyword(s):  
Social Capital ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Rural Households ◽  
Rural Poverty ◽  
State Level ◽  
Multinomial Logit Model ◽  
Poverty Dynamics ◽  
Eastern India

Rural households continuously move into and out of poverty due to various factors; and in response to this phenomenon, these rural households adopt several strategies. The purpose of the present paper was to examine the role of livelihood diversification and social capital in the movement of these households into and out of poverty in Eastern rural India. The present study classified households into four poverty groups (called poverty dynamics) based on the panel data gathered from 1353 rural households between 2004–2005 and 2011–2012. The study used the Sustainable Livelihoods Approach (SLA) and the multinomial logit model (MLM) to examine the poverty outcome between 2004–2005 and 2011–2012. As per the data collected, at the state level, 25.26% of households were chronic poor and 37.04% of households ascended out of poverty, while 8.20% of households descended into poverty between 2004–2005 and 2011–2012. Further, it was found out from the SLA that there is a positive relationship between the phenomena of non-farm activities and escaping poverty. The result from the MLM shows that social capital in the form of group membership in different saving schemes and social groups helps to ascend out of poverty.

scholarly journals Urban Poverty Dynamics in Peru and Madagascar, 1997–99: A Panel Data Analysis1

2005 ◽  
Vol 10 (1) ◽  
pp. 21-48 ◽  
Author(s):  
Javier Herrera ◽  
François Roubaud
Keyword(s):  
Panel Data ◽  
Urban Poverty ◽  
Poverty Dynamics
Sign in / Sign up

Export Citation Format

Share Document