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Assessing the poverty impacts of remittances with alternative counterfactual income estimates Author info | Abstract | Publisher info | Download info | Related research | Statistics Eliana V. Jimenez
Richard P.C. Brown (School of Economics, The University of Queensland )
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We estimate the impacts of remittances on poverty with survey data from Tonga, a poor Pacific island country highly dependent on international migrants’ remittances. The sensitivity of poverty impacts to estimation method is tested using two methods to estimate migrants’ counterfactual incomes; bootstrap prediction with self-selection testing and propensity score matching. We find consistency between the two methods, both showing a substantial reduction in the incidence and depth of poverty with migration and remittances. With further robustness checks there is strong evidence that the poorest households benefit from migrants’ remittances, and that increased migration opportunities can contribute to poverty alleviation.
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Paper provided by School of Economics, University of Queensland, Australia in its series Discussion Papers Series with number
375.
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Date of creation: 2008Date of revision:
Handle: RePEc:qld:uq2004:375Contact details of provider: Postal: St. Lucia, Qld. 4072 Phone: +61 7 3365 6570 Fax: +61 7 3365 7299 Email: Web page: http://www.uq.edu.au/economics/ More information through EDIRC
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Barham, Bradford & Boucher, Stephen, 1998.
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