Pull your small area estimates up by the bootstraps-Reference-Cited by-同舟云学术

Pull your small area estimates up by the bootstraps

Published:2021-05-18 Issue:16 Volume:91 Page:3304-3357
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Rodas Paul Corral¹,Molina Isabel²,Nguyen Minh³

Affiliation:

1. Human Development Group Chief Economist's Office, The World Bank Group, Washington, DC, USA

2. Department of Statistics, Universidad Carlos III de Madrid, Getafe, Spain

3. Poverty and Equity Global Practice, The World Bank Group, Washington, DC, USA

Funder

Ministerio de Economía y Competitividad

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2021.1926460

Reference36 articles.

1. An Analysis of Transformations

2. Corral P, Cojocaru A. Moldova poverty map: an application of small area estimation; 2019. mimeo.

3. A Map of the Poor or a Poor Map?

4. Robust mean‐squared error estimation for poverty estimates based on the method of Elbers, Lanjouw and Lanjouw

5. Demombynes G. A manual for the poverty and inequality mapper module. University of California, Berkeley and Development Research Group, the World Bank. 2002.

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