Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost : Evidence from a Randomized Survey Experiment (Английский)

Survey data on household consumption are often unavailable or incomparable over time in many low- and middle-income countries. Based on a unique randomized survey experiment implemented in Tanzania, this study offers new and rigorous evidence demonstrating that survey-to-survey imputation can fill consumption data gaps and provide low-cost and reliable poverty estimates. Basic imputation models featuring utility expenditures, together with a modest...
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  • Dang,Hai-Anh H.;
    Kilic,Talip;
    Hlasny,Vladimir;
    Hlasny,Vladimir;
    Abanokova,Ksenia;
    Carletto,Calogero;

  • 2024/03/26

  • Рабочий документ в рамках исследования вопросов политики

  • WPS10738

  • 1

  • Танзания, Весь мир,

  • Прочее, Eastern and Southern Africa,

  • 2024/03/26

  • Disclosed

  • Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost : Evidence from a Randomized Survey Experiment

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