{"type":"survey","study_desc":{"title_statement":{"idno":"RWA_2011_NMS_v01_M","title":"National Manpower Survey 2011-2012","alt_title":"NMS 2011-12"},"authoring_entity":[{"name":"National Institute of Statistics of Rwanda","affiliation":"Ministry of Finance and Economic Planning"},{"name":"Ministry of Public Service and Labour","affiliation":""}],"oth_id":[{"name":"Ministry of East African Community (MINEAC)","affiliation":"","email":"","role":"Coordination of the diaspora module"}],"production_statement":{"funding_agencies":[{"name":"Government of Rwanda","abbreviation":"GovRWA","role":""}]},"distribution_statement":{"contact":[{"name":"General inquiries","affiliation":"National Institute of Statistics of Rwanda","email":"info@statistics.gov.rw","uri":"htpp:\/\/www.statistics.gov.rw"}]},"series_statement":{"series_name":"Labor Force Survey [hh\/lfs]"},"version_statement":{"version":"Version 01: Edited, anonymized dataset for licensed distribution.","version_date":"2014"},"study_info":{"abstract":"The National Manpower Survey 2011-2012 (NMS) is a project that was initiated by the Ministry of Public Service and Labour (MIFOTRA), and the National Institute of Statistics (NIS) following a meeting of Ministers in charge of labor in the East Africa Community (EAC) countries that took place in Kampala in 2006. \nThe objective of this meeting was to prepare a protocol of free labor movement in the region and the establishment of the Common Market Protocol (CMP). The meeting urged partner states to undertake a National Manpower Survey. The purpose of these surveys is to establish a better understanding of their respective labor markets as essential prerequisite for implementing the CMP in a successful and efficient manner. For reasons of comparability it was agreed to conduct these national manpower surveys in a harmonized way in all EAC member states.","coll_dates":[{"start":"2011","end":"2011-10-28","cycle":"Other modules"},{"start":"2012-03-03","end":"","cycle":"Other modules"}],"nation":[{"name":"Rwanda","abbreviation":"RWA"}],"geog_coverage":"National","analysis_unit":"- Individuals\n- Institutions (e.g. schools, public institutions, non-governmental organizations, and private firms in the formal and informal sectors)","data_kind":"Sample survey data [ssd]","notes":"The scope of the National Manpower Survey includes:\n\nEDUCATION MODULE\n- Establishment information\n- Staffing profile and labor turnover\n- Institutional staffing capacity\n- Staff development\n- Capital \/ expenditures \/ revenue\n- Sourcing for required staff\n- Capacity utilization and relevance of training\n- Membership to organizations\/ associations\n- Gender\n- HIV\/AIDS policy at workplace\n- Use of ICT\n\nEMPLOYEES MODULE\n- General personal information\n- Nature of current employment\n- Formal education background\n- Vocational training \/ other training \/ type of training\n- Working terms and conditions\n- Labor rights and related issues\n- Challenges at workplace\n- Gender\n- Job search and candidate preferences\n\nEMPLOYERS MODULE\n- General personal information on employer\n- Establishment information\n- Workload \/ business operations\n- Employee characteristics and vacant posts\n- Membership to employee's organizations\n- Employment working conditions\n- HIV\/AIDS policy at workplace\n- Challenges of business expansion","study_scope":"The scope of the National Manpower Survey includes:\n\nEDUCATION MODULE\n- Establishment information\n- Staffing profile and labor turnover\n- Institutional staffing capacity\n- Staff development\n- Capital \/ expenditures \/ revenue\n- Sourcing for required staff\n- Capacity utilization and relevance of training\n- Membership to organizations\/ associations\n- Gender\n- HIV\/AIDS policy at workplace\n- Use of ICT\n\nEMPLOYEES MODULE\n- General personal information\n- Nature of current employment\n- Formal education background\n- Vocational training \/ other training \/ type of training\n- Working terms and conditions\n- Labor rights and related issues\n- Challenges at workplace\n- Gender\n- Job search and candidate preferences\n\nEMPLOYERS MODULE\n- General personal information on employer\n- Establishment information\n- Workload \/ business operations\n- Employee characteristics and vacant posts\n- Membership to employee's organizations\n- Employment working conditions\n- HIV\/AIDS policy at workplace\n- Challenges of business expansion"},"method":{"data_collection":{"data_collectors":[{"name":"National Institute of Statistics of Rwanda","abbreviation":"NISR","affiliation":"Ministry of Finance and Economic Planning"},{"name":"Ministry of Public Service and Labour","abbreviation":"MIFOTR","affiliation":"Government of Rwanda"}],"sampling_procedure":"The National Manpower Survey 2011-2012 identified four distinct universes namely; \nPrivate business establishments which belong to formal sector, Public and private health facilities, Non-Governmental organizations, Public\/ governmental institutions\n\nEach universe was considered a major survey stratum from which an independent sample was selected. The same survey employer and employee questionnaires were administered to all strata. The sample design is composed of two stages.\n \nFirst stage: For formal private establishments, the stratification has been done according to 4 strata: Large establishments (>100 employees); Medium establishments (30-100 employees); small establishments (10-29 employees) and Micro (<10 employees). \nThe first stage sampling rate is 100% for the first and the second strata, while the third and fourth strata have the sampling rate of 50% and 20% respectively. In addition to stratification by size, the administrative district was introduced as the second explicit stratifying variable where the same sampling rate was applied to all districts. An employer questionnaire was administered to each sample establishment where respondent was the head of such an establishment (the Manager) or any official designated by the manager.\n \nSecond stage: The second stage is designed to select the employee sample from the establishments selected in the first stage sample. A question was included on the cover page of Employer questionnaire for the purpose of classifying employees, (in large, medium and small establishments) into three categories namely high skills (ISCO first digit 1 and 2), medium skilled (ISCO first digit 2-6) and low skills (remaining ISCO codes).","coll_mode":"Face-to-face [f2f], Internet [int]","research_instrument":"A set of three questionnaires was used in the survey: \n1. Education Module\n2. Employees Module\n3. Employers Module","act_min":"Trainee enumerators were divided into 8 teams; each team was the responsibility of two supervisors.","weight":"Employer Modules: In order for the sample estimates from the National Manpower Survey to be representative of the population of organizations and establishments, it was necessary to multiply the data by a sampling weight, or expansion factor. The basic weight for each sample establishment would be equal to the inverse of its probability of selection. After calculating the weights in a spreadsheet file they were merged to the data file of respective module. The tabulation programs were weighed to the data automatically.\nFor the establishments\/institution in the list frame included in the NMS sample with certainty, the probability of selection and corresponding basic weight would be equal to 1, since these establishments are self-representing. A stratified one-stage sample design was used for selecting the establishments in any non-certainty strata, so the probability of selection (or sampling rate) is defined as follows:\nPh= nh,\n N h \n \n Where: \n nh = number of sample establishments\/ institutions in the manpower sample of stratum h \n Nh = total number of establishments in the frame from which the sample was selected for Stratum h\n \n The basic weight for the sample establishments in each stratum is the inverse of this probability of selection, and can be expressed as follows:\n\nWh=Nh\n nh\n \nIt is important to adjust the basic weights to take into account the non-response rate within each stratum, including the certainty strata. The weights should be adjusted for non-interviews as follows.\nWh'= Wh x n'h\n n\"h\n \nWhere: \n \nW'h = adjusted weight for the establishments in stratum h \nn'h = number of valid sample establishments selected in stratum h \nn\"h = number of establishments with completed interviews in stratum h\n\nEmployee modules: The employee samples were selected in two stages in all subpopulations of the survey with the exception of informal sector where all employees of the establishments selected in the first stage sample were surveyed (certainty second-stage sample). In some cases of the Formal sector subpopulations, a dummy sampling stage was introduced to select a sample of branches from the multi-branch.","cleaning_operations":"The data cleaning of the NMS datasets started on 23 March 2012. The initial data cleaning was in most cases about identifying duplications and wrong codes in ISCO, ISIC and ISCED. The second phase of data cleaning involved checking consistency between variables during data tabulation."},"analysis_info":{"response_rate":"- 91% for formal sector employee\n- 99% for employers in educational organizations","sampling_error_estimates":"In the publication of the results from the National Manpower Survey (NMS) 2011-2012, it is important to include a statement on the accuracy of the sample estimates. In addition to presenting tables with calculated sampling errors for the most important survey estimates (Annex 1), the different sources of non-sampling error should be described. The standard error, or square root of the variance, is used to measure the sampling error, although it may also include a small part of the no sampling error. The variance estimator should take into account the different aspects of the sample design, such as the stratification and clustering.\nPrograms available for calculating the variances for sample estimates from stratified sample designs such as those for the Manpower Survey are the Complex Samples module of SPSS and STATA. These software packages can be used to calculate the variances of totals, means, proportions and other ratios. They produce subpopulation estimates for each category of a classification variable, and these variables can be cross-classified. For each estimate, these software packages tabulate the standard error, coefficient of variation (CV), 95 percent confidence interval and the design effect (DEFF). Both Stata and the Complex Samples module of SPSS use a linearized Taylor-series variance estimator.","data_appraisal":"In the process of metadata creation for this survey the following data issues were raised:\nA diaspora module was used to collect information on the technical and entrepreneurial skills of Rwandans abroad as well as the likelihood, obstacles and opportunities to harness this potential. However, coverage for this module was not extensive enough to create a useful dataset. A further module - an unemployment for skilled person's module - was planned but not initiated."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"By downloading the data users agree to maintain the confidentiality of the data and data subjects.","required":"yes","form_no":"","uri":""}],"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:\n\nNational Institute of Statistics of Rwanda. National Manpower Survey (NMS) 2011-2012, Ref. RWA_2011_NMS_v01_M. Dataset downloaded from [url] on [date].","conditions":"Public use files, accessible to all","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."}}},"data_files":[{"file_id":"F1","file_name":"rnms-2011-2012-ed-employee-v1","description":"This dataset provides information from \"Education Module\" Section A: Establishment information, Section B: Staffing profile and labor turnover, Section C: Institutional staffing capacity, Section E: Staff development, Section F: Capital \/ Expenditures \/ Revenue, Section G: Sourcing for required staff, Section H: Capacity utilization and relevance of training, Section I: Membership to organizations\/ associations, Section J: Gender, Section K: HIV\/AIDS policy at workplace, Section L: Use of 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