{"doc_desc":{"idno":"DDI_LBR_2017_MTF_v01_M","producers":[{"name":"Development Economics Data Group","abbr":"DECDG","affiliation":"The World Bank","role":"Documentation of the study"}],"prod_date":"2021-04-19","version_statement":{"version":"Version 01 (April 2021)"}},"study_desc":{"title_statement":{"idno":"LBR_2017_MTF_v01_M","title":"Multi-Tier Framework for Measuring Energy Access 2017","alternate_title":"MTF 2017"},"authoring_entity":[{"name":"Energy Sector Management Assistance Program (ESMAP)","affiliation":"World Bank"}],"production_statement":{"copyright":"(c) 2020, The World Bank"},"distribution_statement":{"contact":[{"name":"Lidia Panarello","affiliation":"World Bank","email":"lpanarello@worldbank.org","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The World Bank, with the support of the Energy Sector Management Assistance Program (ESMAP), has launched the Global Survey on Energy Access, which relies on the Multi-Tier Framework (MTF) approach. The first phase is being carried out in 17 countries across Latin America, Africa, and Asia. The survey's objective is to provide more nuanced data on energy access, including access to electricity and cooking solutions. The MTF approach goes beyond the traditional binary measurement of energy access-for example, \"having or not having\" a connection to electricity, and \"using or not using\" clean fuels in cook\u00ading - to capture the multidimensional nature of energy access and the vast range of technologies and sources that can provide energy access, while accounting for the large differences in user experiences. The MTF survey provides detailed household energy data for governments, development partners, the private sector, non-governmental organizations, investors, and service providers."},"version_statement":{"version":"Version 01: Anonymous raw dataset for public distribution","version_notes":"This dataset is the rawdata set provided by the survey firm, without any personal information, such as name."},"study_info":{"abstract":"The MTF survey is a global baseline survey on household access to electricity and clean cooking, which goes beyond the binary approach to look at access as a spectrum of service levels experienced by households. The resulting dataset contains responses from households to questions on experiences concerning their electricity services and cooking practices, as well as questions on their basic socioeconomic factors, such as age, gender, education, expenditure, and health.","coll_dates":[{"start":"2017-03-01","end":"2017-07-01","cycle":""}],"nation":[{"name":"Liberia","abbreviation":"LBR"}],"geog_coverage":"National coverage","analysis_unit":"Households","data_kind":"Sample survey data [ssd]","notes":"Household characteristics, access to electricity services and specific experiences, willingness to pay for Grid or Off-grid connection, fuel consumption, cooking equipment, assets, expenditure, time use, health, attitudes, economic shocks."},"method":{"data_collection":{"data_collectors":[{"name":"NRECA International","abbr":"","role":"","affiliation":""}],"sampling_procedure":"Sample size of 3504. Stratified random sampling, with equal allocation between urban and rural areas and equal allocation between grid-user and non-user households. Nationally representative sample. For details on sampling, please refer to the sampling strategy document.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The 2017 Liberia MTF survey questionnaire consists of the following sections:\n- Household identification\n- Household roster\n- Household characteristics\n- Supply and demand of electricity\n- Willingness to pay for a grid connection\n- Willingness to pay for solar device\n- Kerosene\/ fuel-based \/ candle lighting\n- Dry-cell batteries\n- Household fuel consumption\n- Use of cooking solutions\n- Main cookstove\n- Space and water heating\n- Willingness to pay for and improved cookstove\n- Consumption \/ expenditure\n- Household assets \n- Household land ownership and other assets\n- Household economic shocks\n- Street lighting\n- Time use\n- Heating impacts\n- Women\u2019s empowerment"}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Energy Sector Management Assistance Program, World Bank. Multi-Tier Framework for Measuring Energy Access - Liberia Household Survey (2020).","required":"","form_no":"","form_uri":""}]}}},"schematype":"survey","tags":[{"tag":"DOI"}]}