{"title":"当目标薄弱时评估扶贫转移:重新审视阿尔巴尼亚的Ndihma经济项目","authors":"Lucia Mangiavacchi, P. Verme","doi":"10.2139/ssrn.1471586","DOIUrl":null,"url":null,"abstract":"The Albanian Ndihma Ekonomike is one of the first poverty reduction programs launched in transitional economies. Its record has been judged positively during the recession period of the 1990s and negatively during the more recent growth phase. This paper reconsiders the program using a regression-adjusted matching estimator rst suggested by Heckman et al. (1997, 1998) and exploiting discontinuities in program design and targeting failures. We nd the program to have a weak targeting capacity and a negative and signi cant impact on welfare. We also nd that recent changes introduced to the program have not improved its performance. An analysis of the distributional impact of treatment based on stochastic dominance theory suggests that our results are robust.","PeriodicalId":196905,"journal":{"name":"ERN: Government Expenditures & Welfare Programs (Topic)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Evaluating Pro-Poor Transfers When Targeting is Weak: The Albanian Ndihma Ekonomike Program Revisited\",\"authors\":\"Lucia Mangiavacchi, P. Verme\",\"doi\":\"10.2139/ssrn.1471586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Albanian Ndihma Ekonomike is one of the first poverty reduction programs launched in transitional economies. Its record has been judged positively during the recession period of the 1990s and negatively during the more recent growth phase. This paper reconsiders the program using a regression-adjusted matching estimator rst suggested by Heckman et al. (1997, 1998) and exploiting discontinuities in program design and targeting failures. We nd the program to have a weak targeting capacity and a negative and signi cant impact on welfare. We also nd that recent changes introduced to the program have not improved its performance. An analysis of the distributional impact of treatment based on stochastic dominance theory suggests that our results are robust.\",\"PeriodicalId\":196905,\"journal\":{\"name\":\"ERN: Government Expenditures & Welfare Programs (Topic)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Government Expenditures & Welfare Programs (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1471586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Government Expenditures & Welfare Programs (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1471586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating Pro-Poor Transfers When Targeting is Weak: The Albanian Ndihma Ekonomike Program Revisited
The Albanian Ndihma Ekonomike is one of the first poverty reduction programs launched in transitional economies. Its record has been judged positively during the recession period of the 1990s and negatively during the more recent growth phase. This paper reconsiders the program using a regression-adjusted matching estimator rst suggested by Heckman et al. (1997, 1998) and exploiting discontinuities in program design and targeting failures. We nd the program to have a weak targeting capacity and a negative and signi cant impact on welfare. We also nd that recent changes introduced to the program have not improved its performance. An analysis of the distributional impact of treatment based on stochastic dominance theory suggests that our results are robust.