Training on the production and collection of labor force statistics
Following the establishment of the Training center and Data Science campus at the National Institute of Statistics of Rwanda (NISR), a framework of cooperation has been agreed between GIZ and NISR to develop a training concept for NISR which would support the planning and conduct of training according to common pedagogical and didactical standards. Labour force statistics and analysis has been the subject for the initial development of the training concept, based on recent experience of NISR in conducting a regular labor force survey program in line with the latest international standards on the subject. The training concept is subdivided into two modules, in the case of labor statistics and analysis, one module on data production and one on data use.
Content
This module deals with the production of labor force statistics. It is organized into five sections including Introduction (section1). The next section describes the specific objectives of the training module and the procedure adopted for its development (Section 2). It is followed by a detailed outline of the training contents, covering the main aspects of data collection from survey design to data evaluation and dissemination (Section 3). The section lists tentative training materials including dedicated PowerPoint presentations, handouts with numerical illustrations and exercises, and references to international standards, guidelines, and other training materials, as well as textbooks, academic articles, and selected country experiences (Section 4). The final section describes the evaluation of the effectiveness of the training module (Section 5). Here is the module outline:
- Labour force survey as a source of labor force statistics
- Survey objectives
- Alternative data sources
- Survey planning (Scale and cost, regular or occasional survey, continuous or punctual data collection)
- Survey design and redesign (Independent survey or linkage with other surveys, break-in series)
- Sample design
- Basic elements of multi-stage sampling
- Construction of sampling frame or use of master sample
- Precision requirement and sample size determination
- Stratification and sample allocation among strata
- Sample selection of primary sampling units (PSUs)
- Sample selection of ultimate sampling units (USUs)
- Calculation of sampling weights
- Sampling over time: Rotation design
- Sampling particular population groups:
Domestic workers, International migrant workers, Child labor, Forced labor, …
Oversampling areas of concentration
Target sampling of households of interest
Indirect sampling: From sampling population to target population
Multiple frame sampling using administrative records
- Questionnaire design
- Basic labor force concepts and definitions
- Case study: The Afrida Family
- The general principle of questionnaire design
- ILO model questionnaire and selected national questionnaires
- Cognitive tests
- Field testing
- Field operations
- Listing
- Interviewing
- Data processing
- Data entry
- Coding (Coding process, Independent coding system)
- Editing (Error detection, Error correction, Imputation of missing data)
- Construction of derived variables
- Tabulation
- Data evaluation
- Coverage and response
- Timeliness and punctuality
- Accuracy: Sampling and Non-sampling errors
- Comparability over time and space
- Coherence with related bodies of statistics
- Data dissemination
- ILO data dissemination standards
- Press release
- Survey report
- Publication rules (Rounding, Warning, Collapsing, Suppressing)
- Metadata and quality reporting
- Public use files
Target group and prerequisites:
The training module on the production of labor force statistics is intended for statisticians and specialists dealing with data production at NISR and the national statistical system including line ministries, public agencies, data suppliers both public and private, NGOs, and research and training institutions. The training module is meant to be delivered by NISR specialists over a period of five days.
It is expected that participants are familiar with the basic concepts of statistics such as probability, average, median, standard deviation, frequency distribution, linear regression, etc. It is also expected that participants have some understanding of economics such as national accounts, production of goods and services, gross national product (GNP), labor market, labor supply, and labor demand, etc.
Learning objectives
At the end of the training module on the LFS data production module, the participants are expected to be proficient in carrying out the following tasks, presented here, in increasing order of complexity:
- The participants are familiar with the measurement objectives and terminologies of labor force surveys, main concepts, and definitions, strengths, and limitations of LFS, main elements of survey design, etc. (Cognitive learning objective).
- The participants are able to read and understand basic textbooks and documents on household-based survey design and explain the main issues such as probability sampling, sampling frame, stratification, multi-stage sampling, etc. (Behavioural learning objective).
- The participants are capable to calculate the key parameters of labor force survey design such as precision requirements, sample size, sample allocation among strata, sample-take in primary sampling units, sampling weights, sampling errors of survey estimates, etc. (Behavioural learning objective).
- The participants know how to assist in the design of a labor force survey, how to submit proposals on one or more parts of the design such as questionnaire design, sample design, pilot testing, planning of field operations and data processing, development of data quality assurance, etc. (Behavioural learning objective).
- The participants develop technical competence (expertise) in designing a labor force survey program such as a quarterly or annual LFS with rotation sample design ad modules for implementation in different survey rounds. (Behavioural learning objective).
- The participants develop skills in the redesign of a labor force survey and measuring the impact of the change, for example, revision of concepts and definitions, transition from annual to quarterly survey, provision of data at more geographical details. (Behavioural learning objective).Target group and prerequisites:The training module on the production of labor force statistics is intended for statisticians and specialists dealing with data production at NISR and the national statistical system including line ministries, public agencies, data suppliers both public and private, NGOs, and research and training institutions. The training module is meant to be delivered by NISR specialists over a period of five days.It is expected that participants are familiar with the basic concepts of statistics such as probability, average, median, standard deviation, frequency distribution, linear regression, etc. It is also expected that participants have some understanding of economics such as national accounts, production of goods and services, gross national product (GNP), labor market, labor supply, and labor demand, etc. Learning objectivesAt the end of the training module on the LFS data production module, the participants are expected to be proficient in carrying out the following tasks, presented here, in increasing order of complexity:
- The participants are familiar with the measurement objectives and terminologies of labor force surveys, main concepts, and definitions, strengths, and limitations of LFS, main elements of survey design, etc. (Cognitive learning objective).
- The participants are able to read and understand basic textbooks and documents on household-based survey design and explain the main issues such as probability sampling, sampling frame, stratification, multi-stage sampling, etc. (Behavioural learning objective).
- The participants are capable to calculate the key parameters of labor force survey design such as precision requirements, sample size, sample allocation among strata, sample-take in primary sampling units, sampling weights, sampling errors of survey estimates, etc. (Behavioural learning objective).
- The participants know how to assist in the design of a labor force survey, how to submit proposals on one or more parts of the design such as questionnaire design, sample design, pilot testing, planning of field operations and data processing, development of data quality assurance, etc. (Behavioural learning objective).
- The participants develop technical competence (expertise) in designing a labor force survey program such as a quarterly or annual LFS with rotation sample design ad modules for implementation in different survey rounds. (Behavioural learning objective).
- The participants develop skills in redesign a labor force survey and measuring the impact of the change, for example, revision of concepts and definitions, the transition from annual to quarterly survey, provision of data at more geographical details. (Behavioural learning objective).
Fees:
- Free