FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309076657> ?p ?o ?g. }

• W4309076657 endingPage "103002" @default.
• W4309076657 startingPage "103002" @default.
• W4309076657 abstract "Proxy means testing (PMT) and community-based targeting (CBT) are two of the leading methods for targeting social assistance in developing countries. We present a hybrid targeting method that incorporates CBT’s emphasis on local information and preferences with PMT’s reliance on verifiable indicators. Specifically, we outline a Bayesian framework for targeting that resembles PMT in that beneficiary selection is based on a weighted sum of sociodemographic characteristics, but we instead propose calibrating the weights to preference rankings from community targeting exercises. We discuss several practical extensions to the model, including a generalization to multiple rankings per community, an adjustment for elite capture, a method for incorporating auxiliary information on potential beneficiaries, and a dynamic updating procedure. We further provide an empirical illustration using data from Burkina Faso and Indonesia, which shows that our method achieves error rates lower than what PMT achieves when targeting household expenditures." @default.
• W4309076657 created "2022-11-21" @default.
• W4309076657 creator A5000228959 @default.
• W4309076657 creator A5016624017 @default.
• W4309076657 date "2023-01-01" @default.
• W4309076657 modified "2023-10-14" @default.
• W4309076657 title "A hybrid approach to targeting social assistance" @default.
• W4309076657 cites W1925677562 @default.
• W4309076657 cites W1979576448 @default.
• W4309076657 cites W1985741605 @default.
• W4309076657 cites W1987779391 @default.
• W4309076657 cites W1994305678 @default.
• W4309076657 cites W2029199624 @default.
• W4309076657 cites W2033442452 @default.
• W4309076657 cites W2048026149 @default.
• W4309076657 cites W2052182378 @default.
• W4309076657 cites W2057252654 @default.
• W4309076657 cites W2060181635 @default.
• W4309076657 cites W2083875149 @default.
• W4309076657 cites W2084110766 @default.
• W4309076657 cites W2084984189 @default.
• W4309076657 cites W2089163864 @default.
• W4309076657 cites W2099737847 @default.
• W4309076657 cites W2116117907 @default.
• W4309076657 cites W2126206392 @default.
• W4309076657 cites W2129562991 @default.
• W4309076657 cites W2131339533 @default.
• W4309076657 cites W2143775898 @default.
• W4309076657 cites W2145015839 @default.
• W4309076657 cites W2145754186 @default.
• W4309076657 cites W2152977846 @default.
• W4309076657 cites W2158691426 @default.
• W4309076657 cites W2164108909 @default.
• W4309076657 cites W2255575301 @default.
• W4309076657 cites W2354734035 @default.
• W4309076657 cites W2512463392 @default.
• W4309076657 cites W2566701672 @default.
• W4309076657 cites W2606163540 @default.
• W4309076657 cites W2891762602 @default.
• W4309076657 cites W2902036981 @default.
• W4309076657 cites W2995102403 @default.
• W4309076657 cites W3028032232 @default.
• W4309076657 cites W3102763196 @default.
• W4309076657 cites W3121321214 @default.
• W4309076657 cites W3121951656 @default.
• W4309076657 cites W3122294194 @default.
• W4309076657 cites W3123169686 @default.
• W4309076657 cites W3123652870 @default.
• W4309076657 cites W3124919702 @default.
• W4309076657 cites W3124928832 @default.
• W4309076657 cites W3162099677 @default.
• W4309076657 cites W3163791169 @default.
• W4309076657 cites W3164780056 @default.
• W4309076657 cites W3217307645 @default.
• W4309076657 doi "https://doi.org/10.1016/j.jdeveco.2022.103002" @default.
• W4309076657 hasPublicationYear "2023" @default.
• W4309076657 type Work @default.
• W4309076657 citedByCount "0" @default.
• W4309076657 crossrefType "journal-article" @default.
• W4309076657 hasAuthorship W4309076657A5000228959 @default.
• W4309076657 hasAuthorship W4309076657A5016624017 @default.
• W4309076657 hasBestOaLocation W43090766572 @default.
• W4309076657 hasConcept C10138342 @default.
• W4309076657 hasConcept C107673813 @default.
• W4309076657 hasConcept C119857082 @default.
• W4309076657 hasConcept C149782125 @default.
• W4309076657 hasConcept C154945302 @default.
• W4309076657 hasConcept C162324750 @default.
• W4309076657 hasConcept C175444787 @default.
• W4309076657 hasConcept C177264268 @default.
• W4309076657 hasConcept C199360897 @default.
• W4309076657 hasConcept C26869875 @default.
• W4309076657 hasConcept C2780148112 @default.
• W4309076657 hasConcept C2781249084 @default.
• W4309076657 hasConcept C41008148 @default.
• W4309076657 hasConcept C50522688 @default.
• W4309076657 hasConcept C81917197 @default.
• W4309076657 hasConcept C83864248 @default.
• W4309076657 hasConcept C85847156 @default.
• W4309076657 hasConceptScore W4309076657C10138342 @default.
• W4309076657 hasConceptScore W4309076657C107673813 @default.
• W4309076657 hasConceptScore W4309076657C119857082 @default.
• W4309076657 hasConceptScore W4309076657C149782125 @default.
• W4309076657 hasConceptScore W4309076657C154945302 @default.
• W4309076657 hasConceptScore W4309076657C162324750 @default.
• W4309076657 hasConceptScore W4309076657C175444787 @default.
• W4309076657 hasConceptScore W4309076657C177264268 @default.
• W4309076657 hasConceptScore W4309076657C199360897 @default.
• W4309076657 hasConceptScore W4309076657C26869875 @default.
• W4309076657 hasConceptScore W4309076657C2780148112 @default.
• W4309076657 hasConceptScore W4309076657C2781249084 @default.
• W4309076657 hasConceptScore W4309076657C41008148 @default.
• W4309076657 hasConceptScore W4309076657C50522688 @default.
• W4309076657 hasConceptScore W4309076657C81917197 @default.
• W4309076657 hasConceptScore W4309076657C83864248 @default.
• W4309076657 hasConceptScore W4309076657C85847156 @default.
• W4309076657 hasFunder F4320318321 @default.
• W4309076657 hasLocation W43090766571 @default.

• next