Social programmes for poverty alleviation involve eligibility rules and transfer rules that often proxy-means tests. We … propose to specify the estimator in connection with the poverty alleviation problem. Three distinct stages emerge from the …-values of living standards plugged into the poverty minimization programme to obtain the transfer amounts. We apply these …

groups, and rural households are in a more disadvantageous position in terms of escaping poverty or transitioning into … poverty compared to Hindus, upper caste groups, and urban households. These findings suggest inequality in India is likely to …

Kernel density estimation (KDE) has been prominently used to measure poverty from grouped data (Sala-i-Martin, 2006 … distributions and unit data from several household surveys, we compare KDE-based poverty estimates with their true and survey … counterparts. We find that the technique gives rise to biases in poverty estimates the sign and magnitude of which vary with the …

Based on microeconomic consumer theory, this paper proposes a new methodology for the construction of poverty …

techniques, in particular kernel density estimation, in estimating poverty from grouped data. Using Monte Carlo simulations, we … show that kernel density estimation gives rise to nontrivial biases in estimated poverty levels that depend on the … bandwidth, kernel, poverty indicator, size of the dataset, and data generating process. Furthermore, the empirical bias in the …

of possible impacts of measurement errors on poverty analysis are briefly discussed. These experiments clearly show the … importance of the topic in poverty and inequality data analysis …

Multidimensional poverty measures give rise to a host of statistical hypotheses which are of interest to applied … minimum P-value methodology of Bennett (2010). When applied to study the relative state of poverty among Hindus and Muslims in …

Tracking poverty is predicated on the availability of comparable consumption data and reliable price deflators. However …, regular series of strictly comparable data are only rarely available. Poverty prediction methods that track consumption … tested directly. This study analyses the performance of poverty prediction models based on small area estimation (SAE …