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Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric...
Persistent link: https://www.econbiz.de/10014398164
Persistent link: https://www.econbiz.de/10008909136
Persistent link: https://www.econbiz.de/10009726980
Current estimates of global poverty vary substantially across studies. In this paper we undertake a novel sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric...
Persistent link: https://www.econbiz.de/10013067270
Current estimates of global poverty vary substantially across studies. In this paper we undertake a sensitivity analysis to highlight the importance of methodological choices in estimating global poverty. We measure global poverty using different data sources, parametric and nonparametric...
Persistent link: https://www.econbiz.de/10013067436
We review the recent empirical literature on global poverty, focusing on key methodological aspects. These include the choice of welfare indicator, poverty line and purchasing power parity exchange rates, equivalence scales, data sources, and estimation methods. We also discuss the importance of...
Persistent link: https://www.econbiz.de/10013068951
We review the recent empirical literature on global poverty, focusing on key methodological aspects. These include the choice of welfare indicator, poverty line and purchasing power parity exchange rates, equivalence scales, data sources, and estimation methods. We also discuss the importance of...
Persistent link: https://www.econbiz.de/10013069320
Persistent link: https://www.econbiz.de/10009422668
We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find that the technique gives rise to biases in poverty estimates, the sign and magnitude of which...
Persistent link: https://www.econbiz.de/10014401678
The global financial crisis has reignited interest in models of crisis prediction. It has also raised the question whether financial connectedness - a possible source of systemic risk - can serve as an early warning indicator of crises. In this paper we examine the ability of connectedness in...
Persistent link: https://www.econbiz.de/10014394377