{"type":"survey","doc_desc":{"title":"Labour Force Survey 2013 (2005 E.C)","idno":"DDI_ETH_2013_LFS_v02_M","producers":[{"name":"Centeral Statistical Agency of Ethiopia","abbreviation":"CSA","affiliation":"Ministry of Finance and Economic Development","role":"Metadata preparation"}],"prod_date":"2013-05","version_statement":{"version":"Edited version, the original DDI (Version 1) (DDI-ETH-CSA-LFS-2013) was downloaded from Ethiopian National Data Archive (http:\/\/213.55.92.105\/nada4\/index.php\/catalog) on December 2014. The following DDI elements have been modified: DDI Document ID, survey ID, Title, Series Information, Abstract, Description of Scope, edit some of the DDI elements, and attached external resources."}},"study_desc":{"title_statement":{"idno":"ETH_2013_LFS_v01_M","title":"National Labour Force Survey 2013 (2005 E.C)","alt_title":"LFS 2013 \/ LFS 2005 E.C"},"authoring_entity":[{"name":"Centeral Statistical Agency","affiliation":"Ministry of Finance and Economic Development"}],"production_statement":{"prod_date":"2005-08-31","funding_agencies":[{"name":"Government of Ethiopia","abbreviation":"GovETH","role":"Funded the study"}]},"distribution_statement":{"contact":[{"name":"Data Administrator","affiliation":"Central Statistical Agency (CSA)","email":"data@csa.gov.et","uri":"http:\/\/www.csa.gov.et"}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]","series_info":"The Central Statistical Agency (CSA) has been providing labour force and related data at different levels for the last three decade. These include the 1976 Addis Ababa Manpower and Housing Sample Survey, the 1978 Survey on Population and Housing Characteristics of Seventeen Major Towns, the 1980\/81 and 1987\/88 Rural Labour Force Surveys (RLFS). The 1984, 1994 and 2007 Population and Housing Censuses, and the 1999 and 2005 National Labour Force Surveys provided a comprehensive national labour force data representing both urban and rural areas. The 1996 and 2002 surveys of the informal sector and other household and establishment surveys also provide information related to the work force.\n\nConsidering the development process of the country and dynamic nature of the sectors and fulfilling the demands of different data users, the CSA has been launched National Labour Force Survey program (NLFS) every five years, while Urban Employment Unemployment Survey \/UEUS\/ every year. The 2013 survey is the third in the series next to the 1999 and 2005 NLFS. The survey covered both urban and rural areas of all the regions in particular and the country in general. Like that of the previous surveys, the recent survey has collected data from selected major towns with population size 100,000 and above including region capital cities."},"version_statement":{"version":"Version 1.0: Edited and final data"},"study_info":{"abstract":"Statistical information on all aspects of the population is vital for the design, implementation, monitoring and evaluation of economic and social development plan and policy issues. Labour force survey is among the important sources of data to assess the participation of the population in the economic and social development process of the country. It is useful to indicate the extent of available and unutilized human resources that must be absorbed by the national economy to ensure full employment and economic wellbeing of the population.\n\nThe general objective of the 2013 National Labor Force Survey was designed to provide statistical data on the size, distribution and characteristics of the economically active and the distribution in the various sectors of the economy in both urban and rural areas. The data will be useful for policy makers, planners, researchers, and other institutions and individuals engaged in the design, implementation and monitoring of human resource development plans, programs and projects.\nThe specific objectives of this survey are:\n\u2022 Generate data on the size of the potential work force that is available to participate in production process;\n\u2022 Determine the activity status and rate of economic participation of different sub-groups of the population;\n\u2022 Identify those who are actually contributing to the economic development (i.e., employed) and those who are out of the sphere of productive activities;\n\u2022 Identify the size, distribution and characteristics of employed population by occupation and Industry, status in employment, sector of employment and earnings from employment...etc.\n\u2022 Provide data on the size, distribution and characteristics of unemployed population and rate of unemployment;\n\u2022 Assess the situation of women's employment or the participation of women in the labour force;\n\u2022 Provide time series data to trace changes over time.","coll_dates":[{"start":"2013-05-24","end":"2013-06-12","cycle":""}],"nation":[{"name":"Ethiopia","abbreviation":"ETH"}],"geog_coverage":"The survey covered all rural and urban parts of the country except the non-sedentary areas of six zones of Somali region.","geog_unit":"Zone","analysis_unit":"- Households\n- Individuals (household members aged 5 years and above)","data_kind":"Sample survey data [ssd]","notes":"The 2013 National Labour Force Survey covered the following topics:\n- Area Identification\n- Particulars of household members\n- Economic activity during the last 7 days (for members aged 5 years and above)\n- Unemployment and characteristics of unemployed persons (for members aged 10 years and above)\n- Economic activity during the last 12 months (for members aged 5 years and above)\n- Economic activity for children aged 5-17 years","study_scope":"The 2013 National Labour Force Survey covered the following topics:\n- Area Identification\n- Particulars of household members\n- Economic activity during the last 7 days (for members aged 5 years and above)\n- Unemployment and characteristics of unemployed persons (for members aged 10 years and above)\n- Economic activity during the last 12 months (for members aged 5 years and above)\n- Economic activity for children aged 5-17 years"},"method":{"data_collection":{"data_collectors":[{"name":"Centeral Statistical Agency","abbreviation":"CSA","affiliation":"Ministry of Finance and Economic Development"}],"frequency":"Every five years","sampling_procedure":"Sampling Frame\nThe list of Sampling Frame obtained from the 2007 Population and Housing Census is used to select EAs. A fresh list of households from each EA was prepared at the beginning of the survey period. The list was then used as a frame for selecting sample households of each EAs. \n\nSample Design\nFor the purpose of the survey the country was divided into three broad categories, rural (Category I), major urban center (Category II) and other urban center categories (Category III).\n\nSample Size and Selection Scheme \nCategory I: Totally 842 EAs and 25260 households were selected from this category. Sample EAs of each reporting level was selected using Probability Proportional to Size (PPS) systematic sampling technique; size being number of household obtained from the 2007 Population and Housing Census. From the fresh list of households prepared at the beginning of the survey 30 households per EA were systematically selected and surveyed. For the distribution of planned and covered number of samples from each domain see \n\nCategory II: In this category 817 EAs and 24510 households were selected. Sample EAs from each reporting level in this category were also selected using probability proportional to size (PPS) systematic sampling; size being number of households obtained from the 2007 Population and Housing Census is used to select EAs. From the fresh list of households prepared at the beginning of the survey 30 households per EA were systematically selected and covered by the study. The table below (Summary Table 2.2) shows planned and covered EAs and households in each domain.\n\nCategory III: 127 urban centers, 296 EAs and 8,880 households were selected in this category.  Urban centers from each domain and EAs from each urban center were selected using probability proportional to size systematic selection method; size being number of households obtained from the 2007 Population and Housing Census is used to select EAs. From the fresh listing of each EA 30 households were systematically selected and the study carried out on the 30 households ultimately selected. Summary Table 2.3 below shows the number of planned and sampled EAs and households by domain.\n\nFor details on sampling design, see:\nEthiopian Central Statistical Agency. Analytica Report on The 2013 National Labour Force Survey","coll_mode":"Face-to-face [f2f]","research_instrument":"The survey is mainly aimed at providing information on the economic characteristics of the population aged 10 years and above, i.e., their activity status, employment, and unemployment situation during the last seven days prior to the survey date. It has also covered detailed socio-demographic background variables such as age, sex, relationship to the head of household, migration, disability, literacy status, educational level, training and marital status. The survey has used a structured questionnaire to produce the required data. Before taking its final shape, the draft questionnaire was commented by CSA senior staff member from different directorate as well as top management. Based on the comment given by professionals, the content, layout and presentation of the questionnaire were amended.  \n\nThe questionnaire was organized in to six sections;\nSection 1: Area identification of the selected household: this section dealt with area identification of the respondents such as region, zone, wereda, etc.\nSection 2: Socio- demographic characteristics of households: it consisted of the general socio-demographic characteristics of the population such as age, sex, education, status and type of migration, disability, literacy status, educational Attainment, types of  training and marital status.\nSection 3:\tEconomic activities during the last seven days: this section dealt with a range of questions which helps to see the status and characteristics of employed persons in a current status approach such as hours of work in productive activities, occupation, industry, status in employment, earnings from employment, job mobility, service year for paid employees employment in the formal and informal sector and time related under employment. \nSection 4: Unemployment and characteristics of unemployed persons: this section focused on the size, rate and characteristics of the unemployed population.\nSection 5: Economic activities during the last twelve months: this section consists of the usual economic activity status refereeing to the long reference period i.e. engaged in productive activities during most of the last twelve months, reason for not being active, status in employment, main occupation and industry with two digit codes. \nSection 6: Economic activities of children aged 5-17 years: this section comprises information on the participation of children aged 5-17 years in the economic activities, whether attending education, reason for not attending education, whether they were working during the last seven days, reason for working, for whom they are working, types of injury at work place, whether using protective wear while working and frequency of working periods, and orphan hood status.\n\nThe questionnaire used in the field for data collection was prepared in Amharic language. Most questions have pre-coded answers. A copy of the questionnaire translated to English is attached as an external resource.","coll_situation":"In order to carry out this survey with the desired level of quality, there was a need to organize a large staff that performs the various survey activities. The 25 Branch Statistical Offices of the Agency carried out the data collection operation. These offices have permanent and contract enumerators stationed in the selected enumeration areas. The data collection operation of the survey involved a total of about 1,872 enumerators and about 634 field supervisors including coordinators involved with an average supervisor-enumerator ratio of 1: 3. \n\nData collection from the field took place from 24 May, 2013 - June 12, 2013. In some of the sample sites the data collection was carried out in two phases. That is, after completing the data collection in the selected enumeration area such as in Addis Ababa city Administration enumerators were shifted to another sample sites to carry out the same exercise.  \n\nThe interviews were conducted by going from house-to-house using a structured questionnaire and relevant codebook. The data was collected from each sampled household and the respondent from whom the information collected was the head of the household or other responsible household members. Most of the enumerators were assigned to one sampled enumeration areas in which they could easily converse with the respondent's dialect. Interpreters were made available in cases where there is difficult to converse.","act_min":"Field supervision was undertaken side by side with the data collection. During the survey data collection operation, close and regular supervision was undertaken at various levels. Immediately after the commencement of the data collection exercise the supervisors had made spot checking, re-interviewing and a thorough scrutiny of filled-in questionnaire applied to ensure that the data collection activities being carried out according to the given instruction. In addition to this, the statistician from branch statistical offices has made supervision. Moreover, the senior staff members from CSA head office has also made field supervision activities for ten days in different directions.","cleaning_operations":"The filled-in questionnaires that were retrieved from the field were first subjected to manual editing and coding. During the fieldwork the field supervisors and the heads of branch statistical offices have checked the filled-in questionnaires and carried out some editing. However, the major editing and coding operation was carried out at the head office. All the edited questionnaires were again fully verified and checked for consistency before they were submitted to the data entry by the subject matter experts.  \n\nUsing the computer edit specifications prepared earlier for this purpose, the entered data were checked for consistencies and then computer editing or data cleaning was made by referring back to the filled-in questionnaire. This is an important part of data processing operation in attaining the required level of data quality. Consistency checks and re-checks were also made based on frequency and tabulation results. This was done by senior programmers using CSPro software in collaboration with the senior subject experts from Labour Statistics Team of the CSA."},"analysis_info":{"response_rate":"- For the rural domains, the response rate was 99.60%\n- For the major urban centers domains, the response rate was 99.51%\n- For the other urban centers domains, the response rate was 99.62%"}},"data_access":{"dataset_use":{"contact":[{"name":"Ethiopia Central Statistical Agency (CSA)","affiliation":"Ministry of Finance and Economic Development","email":"csa@csa.gov.et","uri":"http:\/\/www.csa.gov.et"}],"cit_req":"The following statement must be used as citation:\n\"Source of data: Labour Force Survey 2013, dataset version 1.0 - March 2014, provided by the Central Statistical Authority of Ethiopia\"","conditions":"The Central Statistical Agency (CSA) is committed to achieving excellence in the provision of timely, reliable and affordable official statistics for informed decision making in order to maximize the welfare of all Ethiopians. This is achieved through the collection and analysis of censuses, surveys and the use of administrative data as well as the dissemination a range of statistical products and providing assistance and services to users. \n\nA microdata dissemination policy is established by CSA to address the conditions and the manner in which anonymized microdata files may be released to users for research purposes. It also strives to identify the different levels of anonymization for different categories of data use. This policy is available at CSA website (http:\/\/www.csa.gov.et).\n\nCSA will release microdata files for use by researchers for scientific research purposes when: \n\nThe Director General is satisfied that all reasonable steps have been taken to prevent the identification of individual respondents. \n\nThe release of the data will substantially enhance the analytic value of the data that have been collected For all but purely public files, researchers disclose the nature and objectives of their intended research, It can be demonstrated that there are no credible alternative sources for these data, and \n\nThe researchers have signed an appropriate undertaking. \n\nTerms and conditions of use of public data files are the following: \n\nThe data and other materials provided by CSA will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of CSA. \n\nThe data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. \n\nNo attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CSA. \n\nNo attempt will be made to produce links among datasets provided by CSA, or among data from the CSA and other datasets that could identify individuals or organizations. \n\nAny books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from CSA will cite the source of data in accordance with the Citation Requirement provided with each dataset. \n\nAn electronic copy of all reports and publications based on the requested data will be sent to CSA. \n\nThe original collector of the data, CSA, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses. \n\nCost Recovery Policy: \nIt is the policy of CSA to encourage broad use of its products by making them affordable for users. Accordingly, CSA attempts to ensure that the costs of creating anonymized microdata files are built-in to the survey budget. \n\nAt the same time, CSA attempts to recover costs associated with the provisions of special services that benefit only a specific group. Information on the price of each dataset is available at CSA website (www.csa.gov.et)","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 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