{"doc_desc":{"title":"DECDI Evidence for Development Impact (AECS2) (P506126)","idno":"DDI_MOZ_2025_PASPIE-BL_v01_M","producers":[{"name":"Development Data Group","abbr":"","affiliation":"World Bank Group","role":"Documentation of the study"}],"version_statement":{"version":"Version 01 (March 2026)"}},"study_desc":{"title_statement":{"idno":"MOZ_2025_PASPIE-BL_v01_M","title":"Impact Evaluation of Productive Social Action Program 2025","sub_title":"Baseline Survey","alternate_title":"PASPIE-BL 2025"},"authoring_entity":[{"name":"Dahyeon Jeong","affiliation":"World Bank"},{"name":"Astrid Maria Theresia Zwager","affiliation":"World Bank"},{"name":"Stefan Leeffers","affiliation":"UCL"},{"name":"Steven Glover","affiliation":"World Bank"}],"distribution_statement":{"contact":[{"name":"Steven Glover","affiliation":"World Bank","email":"sglover1@worldbank.org","uri":""}]},"series_statement":{"series_name":"1-2-3 Survey, phase 1 [hh\/123-1]"},"version_statement":{"version_date":"2025-12-10"},"study_info":{"abstract":"The PASP baseline survey was implemented between June and July 2025 to establish pre-intervention conditions for the Productive Social Action Program impact evaluation in Mozambique. The survey covered 285 communities across 10 districts in five provinces (Niassa, Nampula, Sofala, Manica, and Gaza), ensuring geographic and socio-economic diversity. A total of 6,864 households were interviewed, with an average of 24 households per community. The sampling frame targeted proposed PASP beneficiaries.","coll_dates":[{"start":"2025-06-09","end":"2025-07-23","cycle":"Baseline"}],"nation":[{"name":"Mozambique","abbreviation":"MOZ"}],"geog_coverage":"The evaluation sample covers 10 districts across the provinces of Niassa, Nampula, Sofala, Manica and Gaza.","analysis_unit":"Household","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"sampling_procedure":"At the program level, the participant districts were selected based on the severity of food insecurity, poverty levels, and vulnerability to natural shocks, including extreme weather and other environmental risks, with a specific emphasis on arid and semi-arid regions. Once districts were selected, local authorities identified communities with higher levels of poverty and food insecurity. These areas typically have higher unemployment rates, lower agricultural production, and are more prone to droughts and floods. A list of selected communities was prepared and shared with the local INAS Delegation for prioritization within district targets. Finally, within selected communities, final beneficiaries were selected through several steps. First, the head of the locality or community leader, with technical support from the INAS Delegation and the INAS community representative (so-called \u201cPermanentes\u201d), prepared a preliminary list of households that fulfill the PASP\u2019s targeting criteria. This pre-registration was shared with the District Government and is collated centrally. Household eligibility was then verified during a household validation\/registration process. Household information collected through the validation\/registration form was then used to calculate a Proxy Means Test (PMT) vulnerability score for each proposed beneficiary. With support from the PMT results, a final list of beneficiaries was prepared for each community to enter the PASP-PW component.\n\nFor the impact evaluation, the final sample comprises a selection of the beneficiaries of the 2025 PASP cycle. First, the provinces of Niassa, Nampula, Sofala, Manica and Gaza were selected jointly with the MTGAS and INAS to be part of the impact evaluation. Within each province, ten districts for the impact evaluation were selected based on three criteria, (i) being rural, as those generally have the highest poverty rates, (ii) the vulnerability to climate risks of drought, floods, and cyclones, and (iii) having not recently implemented a cycle of the PASP. Within the ten selected districts, INAS has used their standard selection process to pre-identify 436 communities for the implementation of PASP-PW and PASP-ADIGR. The research team worked with the Government to identify geographic units (a community, or a combination of neighboring communities) that could form beneficiary groups between 15 to 40 households to select a final sample of 285 communities. INAS then identified beneficiaries within communities, creating a sample frame of 6,864 eligible beneficiaries to be surveyed at baseline. In post-intervention data collection rounds, up to 15 households will be sampled from the list of eligible households, forming a final sample of up to 4,275 households.","coll_mode":["Face-to-face [f2f]"],"research_instrument":"The survey was conducted in Portuguese. The questionnaire is available for download.","cleaning_operations":"Personally identifiable information and RCT treatment assignment variables have been removed from the dataset."},"analysis_info":{"response_rate":"Out of the 6,864 eligible beneficiaries, 6,741 were surveyed. Response rate: 98.2%."}},"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 country, acronym and year of implementation)\n - the survey reference number\n - the source and date of download\n\nExample:\nDahyeon Jeong (World Bank Group), Astrid Maria Theresia Zwager (World Bank Group), Steven Glover (World Bank Group), Stefan Leeffers (UCL). Mozambique - Impact Evaluation of Productive Social Action Program 2025 - Baseline Survey 2025 (PASPIE 2025). Ref: MOZ_2025_PASPIE-BL_v01_M. Downloaded from [uri] 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"}