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Most poverty studies build on measures that take account of recurring incomes from sources such as labour or social … ways. Previous studies that have sought to incorporate assets into poverty measures suggest that (1) poverty estimates … including wealth are considerably lower than income‐based measures; (2) poverty rates of the elderly are more affected than …
Persistent link: https://www.econbiz.de/10011594143
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 …
Persistent link: https://www.econbiz.de/10008663055
We consider the estimation of measures of persistent poverty in panel surveys with missing data, focusing on the … persistent poverty headcount, its duration-adjusted variant, and a related measure used by the European Union as an indicator of … the risk of persistent poverty. We develop a partial identification approach to allow for data missing-not-at-random, and …
Persistent link: https://www.econbiz.de/10010198454
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 …
Persistent link: https://www.econbiz.de/10012949102
Based on microeconomic consumer theory, this paper proposes a new methodology for the construction of poverty …
Persistent link: https://www.econbiz.de/10014199506
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 …
Persistent link: https://www.econbiz.de/10014220028
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 …
Persistent link: https://www.econbiz.de/10014050077
Persistent link: https://www.econbiz.de/10010526698
Persistent link: https://www.econbiz.de/10010126200
In this paper, we investigate what can be learned about average counterfactual outcomes when it is assumed that treatment response functions are smooth. The smoothness conditions in this paper amount to assuming that the differences in average counterfactual outcomes are bounded under different...
Persistent link: https://www.econbiz.de/10010336471