Showing 1 - 10 of 5,965
Persistent link: https://www.econbiz.de/10012242198
The at-risk-of-poverty rate is one of the three indicators used for monitoring progress towards the Europe 2020 poverty … policies. However, due to complicated nature of the European Union Statistics on Income and Living Conditions (EU-SILC) poverty …") the current at-risk-of-poverty rate for the European Union (EU) countries based on EU-SILC microdata from a previous …
Persistent link: https://www.econbiz.de/10009763917
The at-risk-of-poverty rate is one of the three indicators used for monitoring progress towards the Europe 2020 poverty …, estimates of the number of people at risk of poverty are published with a significant delay. This paper extends and updates … previous work on estimating ('nowcasting') indicators of poverty risk using the tax-benefit microsimulation model EUROMOD. The …
Persistent link: https://www.econbiz.de/10011317100
The at-risk-of-poverty rate is one of the three indicators used for monitoring progress towards the Europe 2020 poverty …-SILC), estimates of the number of people at risk of poverty are published with a 2 to 3 year delay. This paper presents a method of … estimating ('nowcasting') the current distribution of income between households, including the at-risk-of-poverty rate, using a …
Persistent link: https://www.econbiz.de/10010362225
Persistent link: https://www.econbiz.de/10011506445
The at-risk-of-poverty rate (AROP) is one of the three indicators used for monitoring progress towards the Europe 2020 … poverty and social exclusion reduction target. Timeliness of this indicator is crucial for monitoring of the social situation …, estimates of the number of people at risk of poverty are published with a significant delay. This paper extends and updates …
Persistent link: https://www.econbiz.de/10011537390
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Persistent link: https://www.econbiz.de/10012420837
OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests …, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in … predicting poverty using alternative objective functions and stochastic dominance analysis based on coverage curves. It finds …
Persistent link: https://www.econbiz.de/10012159707
Economists have long been interested in measuring the poverty and distributional impacts of macroeconomic projections …-level poverty, inequality, and other distributive indicators. The results indicate that the proposed methodology accurately … estimates the intensity of poverty in the most immediate years indistinctively of how labor income is simulated. However …
Persistent link: https://www.econbiz.de/10014579668