scholarly journals Estimación de la función de distribución y cuantiles en la población de pobres

2020 ◽  
Vol 30 (3) ◽  
pp. 1063
Author(s):  
Encarnación Álvarez-Verdejo ◽  
María Dolores Estudillo-Martínez ◽  
Sonia Castillo-Gutiérrez

The poverty line is an economic indicator that divides a population into poor and non poor. Studies about poverty are highly interested on the population of poor, hence they measure the distribution and intensity of the poor through different indicators. Such indicators are generally based upon the distribution function and quantiles. Assuming an arbitrary sampling design, the estimation of the previous parameters is discussed in this paper. Proposed estimators are numerically evaluated via Monte Carlo simulation studies and using data extracted from the Spanish Household Panel Survey.

2006 ◽  
Vol 112 (1-2) ◽  
pp. 121-128 ◽  
Author(s):  
Joaquín Cortés ◽  
Eliana Valencia ◽  
Paulo Araya

2013 ◽  
Vol 5 (1) ◽  
pp. 206-238 ◽  
Author(s):  
Paul Niehaus ◽  
Antonia Atanassova ◽  
Marianne Bertrand ◽  
Sendhil Mullainathan

Targeting assistance to the poor is a central problem in development. We study the problem of designing a proxy means test when the implementing agent is corruptible. Conditioning on more poverty indicators may worsen targeting in this environment because of a novel tradeoff between statistical accuracy and enforceability. We then test necessary conditions for this tradeoff using data on Below Poverty Line card allocation in India. Less eligible households pay larger bribes and are less likely to obtain cards, but widespread rule violations yield a de facto allocation much less progressive than the de jure one. Enforceability appears to matter. (JEL D12, I32, I38, O12, O15)


2011 ◽  
Vol 59 (4) ◽  
pp. 2833-2839 ◽  
Author(s):  
Seung-Wan Lee ◽  
Yu-Na Choi ◽  
Hyo-Min Cho ◽  
Young-Jin Lee ◽  
Hyun-Ju Ryu ◽  
...  

2019 ◽  
Vol 94 (11) ◽  
pp. 1717-1724
Author(s):  
R. Masrour ◽  
A. Jabar ◽  
M. S. Ben Kraiem ◽  
M. Ellouze ◽  
Nirina Randrianantoandro ◽  
...  

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