Lower Inequality and Lower Development
A Contradiction Sensitivity Analysis of Jammu and Kashmir
Bibliographic Data
| ID | 13036639 |
|---|---|
| Authors | Saeed Owais Mushtaq (0000-0001-7803-9800, University of Kashmir), Javaid Iqbal Khan (0000-0003-2720-1542, University of Kashmir), Mehak Majeed (0000-0003-3160-1987, Islamic University of Science and Technology, corresponding author) |
| Year | 2022 |
| Volume | 13 |
| Issue | 3 |
| Pages | 315-345 |
| Publication date | 2022-11-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Statistics Politics and Policy (JOURNAL) |
| Journal identifiers | ISSN: 2151-7509 • E-ISSN: 2194-6299 |
| Publisher | De Gruyter (PUBLISHER • DE) |
| DOI | 10.1515/spp-2022-0001 |
| OpenAlex | W4308798870 |
| Language | EN |
| References cited | 38 |
The standard method of poverty estimation uses unadjusted per capita income or expenditure to calculate population below the poverty line. However, recent empirical advancements have validated this method to be essentially flawed in nature. It does not take into consideration nor allows for household composition and economies of scale. Empirical investigations have confirmed the facts that the measures of poverty and inequality are sensitive to various choices of equivalence scales. Therefore, standard measures provide mostly overestimated poverty and inequality estimates. Further, poverty measurement across groups or overtime is sensitive to different poverty lines and measures. Any alteration in these can reverse the ranking. The current research attempts to test adult equivalence and scale economies in Jammu and Kashmir region to validate whether poverty estimates are sensitive to these scales or not. It also employs stochastic dominance technique to check whether poverty reduction is robust through time over a wide range of poverty lines and measures. The paper does so by employing three waves of monthly consumption expenditure rounds conducted by National Sample Survey Organization. For sensitivity analysis, the paper estimates FGT, Gini and Atkinson indices. Despite being industrially backward and politically fragile, J&K has shown better economic indicators than most other Indian states. The findings of the current study validate lower poverty in the region and at the same time discover a growth in inequality over time. While a mixed result is derived for adult equivalence, the economies of scale highlight the fact that standard measures are overstated and welfare rank reversal ensues when household size and gender of household is tested for. Further, stochastic dominance results show that poverty reduction is only robust during 61st and 66th round, and not during 66th and 68th rounds
Consumption (sociology · Demographic economics · Development economics · Dominance (genetics · Econometrics · Economic growth · Economic inequality · Economics · Equivalence (formal languages · Gini coefficient · Inequality · Per capita · Population · Poverty · Ranking (information retrieval · Sociology · Stochastic dominance · Agricultural risk and resilience · Demography · Income, Poverty, and Inequality · Mathematics · Social and Economic Development in India
Economics and Consumer Behavior
A Class of Decomposable Poverty Measures
Poverty Orderings
On the Measurement of Poverty
Equivalence Scales, Well‐being, Inequality, and Poverty
Testing for Restricted Stochastic Dominance
What are the opportunities to promote gender equity and equality in conflict-affected and fragile states? Insights from a review of evidence
Why Inequality Matters
The Poverty and Heterogeneity Among Female-Headed Households Revisited
Widowhood and poverty in rural India
On Measuring Child Costs
Poverty and Household Size
Equivalence Scale Relativities and the Extent of Inequality and Poverty
Women, Armed Conflict, and Peacemaking in Sri Lanka
Land Reforms in Jammu and Kashmir
Economies of scale and scope in Vietnamese hospitals
Poverty and Living Standards in Asia
On Patriarchy
Women, poverty and agricultural growth in India
Measuring Child Poverty in South Africa
| Citation velocity | historical |
|---|---|
| Highly cited | No |