This paper summarizes the approach used to estimate monetary poverty for Pakistan in 2019-20 at the district level. The … Pakistan Social and Living Standard Measurement Survey 2019-20. This application differs from the standard small area … instead of a census as the target data offers additional information for modeling poverty, but it also comes at the expense of …

longitudinal surveys and the at-risk-of-poverty or social exclusion framework to analyze recent temporal trends in absolute … multidimensional poverty across the 27 countries in the European Union and its subregions. The analysis quantifies the extent …, composition, and factors associated with the higher risks of multidimensional poverty across four countries (Bulgaria, Romania …

Proxy-means testing is a popular method of poverty targeting with imperfect information. In a now widely-used version …, thus diminishing the impact on poverty. Some methodological changes perform better, with a poverty-quantile method … as well, or almost as well, in reducing poverty. However, even with a budget sufficient to eliminate poverty with full …

Proxy means test (PMT) poverty targeting tools have become common tools for beneficiary targeting and poverty … USAID poverty assessment tool and base data are used for demonstration of these methods; however, the methods applied in … this paper should be considered for PMT and other poverty-targeting tool development more broadly …

This paper constructs and tests the robustness of consistently measured poverty trends in the Islamic Republic of Iran … after 2008, using international poverty lines based on U.S. dollars at 2011 purchasing power parity. The constructed … estimates reveal three distinct periods of welfare in the Islamic Republic of Iran: increase in poverty and inequality between …

The performance of the Simple Poverty Scorecard is compared against the performance of established regression …-based estimators. All estimates are benchmarked against observed poverty status based on household expenditure (or income) data from … Poverty Scorecard is as good as any of the regression-based estimators. The findings change, however, when the regression …

Measuring poverty requires adjusting nominal consumption (or income) into a real value of consumption, across … geographic areas and over time. To this end, data on consumer prices are used to construct a price index. There are a range of … of price data and methodologies for indexing. These different approaches can have large impacts on poverty measures and …

Poverty estimates based on enumeration from a single point in time form the cornerstone for much of the literature on … poverty. Households are typically interviewed once about their consumption or income, and their wellbeing is assessed from … their responses. Global estimates of poverty that aggregate poverty counts from all countries implicitly assume that the …

paper builds on those studies by considering satellite measures for improving poverty measures. The paper uses local …

of poverty outcomes over time. It presents the various methods under a common framework, with pedagogical discussion on …This paper reviews methods that have been employed to estimate poverty in contexts where household consumption data are …