Pull Your Small Area Estimates up by the Bootstraps
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Cited by:
- Gianni Betti & Vasco Molini & Dan Pavelesku, 2023.
"Using poverty maps to improve the design of household surveys: the evidence from Tunisia,"
Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(5), pages 1641-1657, December.
- Betti,Gianni & Molini,Vasco & Pavelesku,Dan, 2021. "Using Poverty Maps to Improve the Design of Household Surveys : The Evidence from Tunisia," Policy Research Working Paper Series 9648, The World Bank.
- Balgobin Nandram, 2021. "A Bayesian Approach to Linking a Survey and a Census via Small Areas," Stats, MDPI, vol. 4(2), pages 1-20, June.
- Molina Isabel, 2020. "Discussion of “Small area estimation: its evolution in five decades”, by Malay Ghosh," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 40-44, August.
- Masaki,Takaaki & Newhouse,David Locke & Silwal,Ani Rudra & Bedada,Adane & Engstrom,Ryan, 2020. "Small Area Estimation of Non-Monetary Poverty with Geospatial Data," Policy Research Working Paper Series 9383, The World Bank.
- Isabel Molina, 2020. "Discussion of "Small area estimation: its evolution in five decades", by Malay Ghosh," Statistics in Transition New Series, Polish Statistical Association, vol. 21(4), pages 40-44, August.
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Keywords
Inequality; De Facto Governments; Public Sector Administrative&Civil Service Reform; Public Sector Administrative and CivilService Reform; Economics and Finance of Public Institution Development; State Owned Enterprise Reform; Democratic Government; Employment and Unemployment; Labor&Employment Law; Adaptation to Climate Change;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2020-06-22 (Computational Economics)
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