{"doc_desc":{"title":"AFR_1996_WDAAF_v01_M","idno":"DDI_AFR_1996_WDAAF_v02_M","prod_date":"2010-09-15","version_statement":{"version":"DDI Document  - Version 02 - (04\/27\/21)\n This version is identical to DDI_AFR_1996_WDAAF_v01_M but country field has been updated to capture all the countries covered by survey.\n\n Version 01 (September 2010)"}},"study_desc":{"title_statement":{"idno":"AFR_1996_WDAAF_v01_M","title":"What Does Aid to Africa Finance ? 1970-1996","alt_title":"WDAAF 1996"},"authoring_entity":[{"name":"Shantayanan Devarajan, Andrew Sunil Rajkumar and Vinaya Swaroop","affiliation":"World Bank"}],"production_statement":{"prod_date":"2010-09-15"},"distribution_statement":{"contact":[{"name":"Development Research Group","affiliation":"World Bank","email":"research@worldbank.org","uri":"http:\/\/go.worldbank.org\/B9W4QTDHR0"}]},"series_statement":{"series_name":"Macroeconomics - Indicators"},"study_info":{"abstract":"If a donor gives aid for a project that the recipient government would have undertaken anyway, then the aid is financing some expenditure other than the intended project. The notion that aid in this sense may be \"fungible,\" while long recognized, has recently been receiving some empirical support. The paper \"What Does Aid to Africa Finance?\"  focuses on Sub-Saharan Africa\u2014the region with the largest GDP share of aid\u2014and presents results that indicate that aid may be partially fungible, and suggests some reasons why. \n\nThis database contains data used for the analysis.","time_periods":[{"start":"1970","end":"1996","cycle":""}],"coll_dates":[{"start":"1970","end":"1996","cycle":""}],"nation":[{"name":"Burkina Faso","abbreviation":"BFA"},{"name":"Botswana","abbreviation":"BWA"},{"name":"Cameroon","abbreviation":"CMR"},{"name":"Congo, Dem. Rep.","abbreviation":"COD"},{"name":"Ethiopia","abbreviation":"ETH"},{"name":"Ghana","abbreviation":"GHA"},{"name":"Kenya","abbreviation":"KEN"},{"name":"Liberia","abbreviation":"LBR"},{"name":"Lesotho","abbreviation":"LSO"},{"name":"Madagascar","abbreviation":"MDG"},{"name":"Mauritius","abbreviation":"MUS"},{"name":"Malawi","abbreviation":"MWI"},{"name":"Nigeria","abbreviation":"NGA"},{"name":"Sudan","abbreviation":"SDN"},{"name":"Eswatini","abbreviation":"SWZ"},{"name":"Zambia","abbreviation":"ZMB"},{"name":"Zimbabwe","abbreviation":"ZWE"}],"geog_coverage":"The database includes data from Botswana, Burkina Faso, Cameroon, Ethiopia, The Gambia, Ghana, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mauritius, Nigeria, Sudan, Swaziland, Zaire, Zambia, and Zimbabwe.","data_kind":"Aggregate data [agg]","notes":"The dataset includes the following:\n- Population\n- Infant mortality\n- Primary and secondary school enrollment\n- GDP per capita\n- Concessionary loans\n- Government expenditure"},"method":{"data_collection":{"coll_mode":"Other [oth]"}},"data_access":{"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nShantayanan Devarajan et al., World Bank.What Does Aid to Africa Finance? (WDAAF) 1970-1996. Ref. AFR_1996_WDAAF_v01_M. Dataset downloaded from http:\/\/microdata.worldbank.org on [date].","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}