The purpose of the National Health Interview Survey (NHIS) is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. This supplement contains edited and imputed data for the Income and Assets portion (Part D) of the 1995 Family Resources questionnaire for the National Health Interview Survey. Other components of the Family Resources questionnaire cover Access to Care (Part A), Health Care Coverage (Part B), and Private Plan and Coverage Detail (Part C). The Income and Assets supplement contains variables from the NHIS core Person File (see NATIONAL HEALTH INTERVIEW SURVEY, 1995 [ICPSR 2533]), including sex, age, race, marital status, veteran status, education, income, industry and occupation codes, and limits on activity. Other items focus on employment, income from employment and businesses, other income sources including retirement and Social Security, and asset holdings such as cars, houses, businesses, and investment properties. Additional information on the receipt of income from public programs like AFDC, SSI, and food stamps is also included.

A national sample survey dataset covering a wide variety of issues on American family life beginning in 1987-88 and at two subsequent timepoints1992-93 and 2001-03. Topics covered included detailed household composition, family background, adult family transitions, couple interactions, parent-child interactions, education and work, health, economic and psychological well-being, and family attitudes. The first wave interviewed 13,017 respondents, including a main cross-section sample of 9,643 persons aged 19 and over plus an oversample of minorities and households containing single-parent families, step-families, recently married couples, and cohabiting couples. In each household, a randomly selected adult was interviewed. In addition, a shorter, self-administered questionnaire was filled out by the spouse or cohabiting partner of the primary respondent. Interviews averaged about 100 minutes, although interview length varied considerably with the complexity of the respondent''s family history. In 1992-94, an in-person interview was conducted of all surviving members of the original sample, the current spouse or cohabiting partner, and with the baseline spouse or partner in cases where the relationship had ended. Telephone interviews were conducted with focal children who were aged 5-12 and 13-18 at baseline. Short proxy interviews were conducted with a surviving spouse or other relative in cases where the original respondent died or was too ill to interview. A telephone interview was conducted with one randomly selected parent of the main respondent. In 2001-03, telephone interviews were conducted with: Surviving members of the original respondents who had a focal child age 5 or over at baseline; the baseline spouse/partner of these original respondents, whether or not the couple was still together; the focal children who were in the household and aged 5-18 at baselinemost of whom were interviewed at wave 2; and all other original respondents age 45 or older in 2000, and their baseline spouse/partner. Oversamples: Blacks, 9.2%; Mexican-Americans, 2.4%; Puerto Ricans, 0.7% * Dates of Study: 1987-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size (original respondents): ** Wave I (1987-88): 13,017 ** Wave II (1992-93): 10,007 ** Wave III (2001-03): 8,990 Links: * Wave I (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06041 * Wave II (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06906 * Wave III (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/00171

The national Survey of Information Technology Occupations, conducted in 2002 on behalf of the Software Human Resource Council (SHRC), is the first to shed light on the IT labour market in both the public and private sectors. IT employers and employees were surveyed separately, but simultaneously. The employer survey consisted of questions on occupation profile, hiring and recruitment, employee retention, and training and development. The employee survey had questions on the occupational history of IT employees, salary, education, training, and skills. The target population consisted of private sector locations with at least six employees, and with at least one employee working in IT, as well as public-sector divisions with at least one IT employee. The NSITO is a three-stage survey. First, a sample of employers in both private and public sectors is selected; this is stage 1. The questions asked in stage 1 are essentially about the IT workforce. Stage 2 involves selecting a maximum of two occupations (out of 25) per employer. The questions asked in this stage deal with hiring, training and retaining employees in the selected occupations. In stage 3, a maximum of 10 employees are sampled for each occupation selected in stage 2. Among the subjects that employees are asked about are training, previous employment and demographic characteristics. For National Survey of Information Technology Occupations data, refer to Statistics Canada.

The purpose of the National Health Interview Survey (NHIS) is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive. This supplement contains edited and imputed data for the Income and Assets portion (Part D) of the 1994 NHIS Family Resources questionnaire. Other components of the Family Resources questionnaire cover Access to Care (Part A), Health Care Coverage (Part B), and Private Plan and Coverage Detail (Part C). The Income and Assets supplement contains variables from the NHIS core Person File (see NATIONAL HEALTH INTERVIEW SURVEY, 1994 [ICPSR 2533]), including sex, age, race, marital status, veteran status, education, income, industry and occupation codes, and limits on activity. Other items focus on employment, income from employment and businesses, other income sources including retirement and Social Security, and asset holdings such as cars, houses, businesses, and investment properties. Additional information on the receipt of income from public programs like Aid to Families with Dependent Children (AFDC), Supplemental Security Income (SSI), and food stamps is also included.

Abstract

The STEP (Skills Toward Employment and Productivity) Measurement program is the first ever initiative to generate internationally comparable data on skills available in developing countries. The program implements standardized surveys to gather information on the supply and distribution of skills and the demand for skills in labor market of low-income countries.

The uniquely designed modules in the Employer Survey aim to assess the structure of the labor force; the skills (cognitive skills, behavior and personality traits, and job-relevant skills) currently being used; the skills that employers look for when hiring new workers; the propensity of firms to provide training (including satisfaction with education, training, and levels of specific skills) and the link between skills and compensation and promotion. The survey also captures background characteristics (size, legal form, industry, full time vs. non-standard employment and occupational breakdown), performance (revenues, wages and other costs, profits and scope of market), key labor market challenges and their ranking relative to other challenges, and job skill requirements of the firms being interviewed.

The questionnaire can be adapted to address a sample of firms in both informal and formal sectors, with varying sizes and industry classifications.

Geographic coverage

Capital Nairobi and other urban areas.

Analysis unit

The units of analysis are establishments or workplaces - a single location at which one or more employees work. The larger legal entity may include multiple establishments. The firms on the list will have been randomly chosen, with probability proportional to the number of employees in the firm.

Universe

The universe of the study are non-government businesses registered with the Kenya National Bureau of Statistics (KNBS), from 2016. Firms with at least five employees were selected from the following sectors: Manufacturing, Trade and Other Services.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling objective of the survey was to obtain interviews from 500 non-government enterprise workplaces in the capital and urban regions of Kenya. Firms with less than five employees were excluded from the target population.

Two-stage stratified random sampling was used in the survey. A list of businesses registered with the Kenya National Bureau of Statistics (KNBS) from 2016, served as the sampling frame.

Detailed information about sampling is available in the Kenya Employer Survey Design Planning Report and Kenya Employer Survey Weighting Procedure, provided as Related Material.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The Questionnaire for the STEP Employer Survey consists of five modules:

Section 1 - Work Force Section 2 - Skills Used Section 3 - Hiring Practices Section 4 - Training and Compensation Section 5 - Background

In the case of Kenya, the questionnaire was adapted to the Kenya context and published in English and Swahili. It has been provided as Related Material.

Cleaning operations

STEP Data Management Process:

1) Raw data is sent by the survey firm

2) The World Bank (WB) STEP team runs data checks on the Questionnaire data. Comments and questions are sent back to the survey firm.

3) The survey firm reviews comments and questions. When a data entry error is identified, the survey firm corrects the data.

4) The WB STEP team again check to make sure the data files are clean. This might require additional iterations with the survey firm.

5) Once the data has been checked and cleaned, the WB STEP team computes the weights. Weights are computed by the STEP team to ensure consistency across sampling methodologies.

Response rate

An overall response rate of 72% was achieved in Kenya STEP Survey. Detailed distribution of responses by stratum can be found in the document Kenya Employer Survey Weighting Procedure, available as Related Material.

Abstract

A. Objective To generate statistics for wage and salary administration and for wage determination in collective bargaining negotiations.

B. Uses of Data Inputs to wage, income, productivity and price policies, wage fixing and collective bargaining; occupational wage rates can be used to measure wage differentials, wage inequality in typical low wage and high wage occupations and for international comparability; industry data on basic pay and allowance can be used to measure wage differentials across industries, for investment decisions and as reference in periodic adjustments of minimum wages.

C. Main Topics Covered Occupational wage rates Median basic pay and median allowances of time-rate workers on full-time basis

Geographic coverage

National Capital Region

Analysis unit

Establishment

Universe

The survey covered non-agricultural establishments employing 50 or more workers except national postal activities, central banking, public administration and defense and compulsory social security, public education services, public medical, dental and other health services, activities of membership organizations, extra territorial organizations and bodies.

Kind of data

Sample survey data [ssd]

Sampling procedure

Statistical unit: The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity---the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

Survey universe/Sampling frame: The sampling frame used for the survey was taken from the List of Establishments of the National Statistics Office. On a partial basis, this is regularly updated based on the responses to other surveys of the BLES, establishment reports on retrenchments and closures submitted to the Regional Offices of the Department of Labor and Employment and other establishment lists.

Sampling design: The OWS is a complete enumeration survey of non-agricultural establishments employing 50 persons or more in the National Capital Region.

Sample size: For OWS 2002, number of establishments covered was 5,954 of which, 3,974 were eligible units.

Note: Refer to Field Operations Manual

Sampling deviation

Not all of the fielded questionnaires are accomplished. During data collection, there are reports of permanent closures, non-location, duplicate listing and shifts in industry and employment outside the survey coverage. Establishments that fall in these categories are not eligible elements (three consecutive survey rounds for "can not be located" establishments) of the frame and their count is not considered in the estimation. Non-respondents are made up of refusals, strikes or temporary closures, can not be located (less than three consecutive survey rounds) and those establishments whose questionnaires contain inconsistent item responses and have not replied to the verification queries by the time output table generation commences.

Respondents are post-stratified as to geographic, industry and employment size classifications. Non-respondents are retained in their classifications. Sample values of basic pay and allowances for the monitored occupations whose basis of payment is an hour or a day are converted into a standard monthly equivalent, assuming 313 working days and 8 hours per day. Daily rate x 26.08333; Hourly rate x 208.66667.

Mode of data collection

Other [oth] mixed method: self-accomplished, mailed, face-to-face

Research instrument

The 2002 OWS questionnaire is made up of the following sections:

Cover page (Page 1) This contains the address box for the establishment and other particulars.

Survey Information (Page 2) This section provides information on the purpose of the survey, coverage, reference period, collection authority, authorized field personnel, confidentiality clause, due date, availability of results and assistance available.

Part A: General Information (Page 3) This part inquires on the main economic activity, major product/s, goods or services, total employment, ownership (with foreign equity or wholly Filipino), spread of operations (whether establishment is a multinational), market orientation (for manufacturing only, engaged in export or domestic market only), presence of a union and existence of a collective bargaining agreement in the establishment.

Part B: Employment and Wage Rates of Time-Rate Workers on Full Time Basis (Pages 4 - 5) It inquires data on the distribution of time-rate workers on full-time basis by time unit (hourly, daily, monthly) and basic pay and allowance intervals;

Part C: Employment and Wage Rates of Time-Rate Workers on Full-Time Basis in Selected Occupations (Pages 6 - 11) For each occupation covered, the establishment is asked to report the time unit of work (hourly, daily, monthly), corresponding basic pay per worker and number of workers. Similar data are also asked for workers in the occupation that are given regular allowances. The total number of workers disaggregated by sex in each monitored occupation is likewise requested

Part D: Key and Representative Occupations in the Establishment (Page 12) This asks for the occupations and corresponding employment of those considered as unique to the industry/sector to which the establishment belongs, employs the most number of works, historically important in the wage structure or emerging/has a high growth potential.

Survey Results (Pages 13 - 14) Selected statistical tables from the previous two (2) survey rounds are provided for information of the respondents.

Part E: Certification of Respondent (Page 15) This box is provided for the respondent’s comments or suggestions (on the data it provided for the survey, results of previous survey rounds and improvements on the design/contents of the questionnaire) and for the name and signature, position, and telephone/fax numbers and e-mail address of the person responsible for filling out the form.

Part F: Survey Personnel (Page 15) This portion is allocated for the names of personnel involved in collection, editing and review of each questionnaire and dates when the activities were completed.

Part G: Industries with Selected Occupations (Page 16) This lists the selected 43 industries whose occupational wage rates and employment are being monitored.

Note: Refer to Questionnaire.

Cleaning operations

Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by their field supervisors.

The BLES personnel undertake the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification, personally or through mail.

Note: Refer to Field Operations Manual Chapter 1 Section 1.10.

Response rate

The response rate in terms of eligible units was 78.7%.

Data appraisal

The survey results are checked for consistency with the results of previous OWS data and the minimum wage rates corresponding to the reference period of the survey.

Abstract

The demand for evidence based decision making has reached unprecedented levels today more than ever before. The level of data usage has extended not only to cover basic administrative data but also to include more detailed household level information. Household surveys therefore, have become an invaluable source of information for monitoring outcome and impact indicators of national and international development frameworks.

As a key contributor to the monitoring framework, Uganda Bureau of Statistics (UBOS) has conducted large-scale surveys since 1989. The surveys have had a nationwide coverage with varying core modules and objectives. The 2005/06 round of household surveys was yet another in a series conducted by UBOS. The last household survey was conducted in 2002/03 with a focus on labourforce and informal sector in addition to the standard Socio-economic module. This time round, the survey carries an agriculture module in addition to the Socio-economic module. The surveys primarily collect socio-economic data required for measurement of human development and monitoring social goals with special reference to the measurement of poverty under the Poverty Eradication Action Plan (PEAP) and Millennium Development Goals (MDGs).

The main objective of the survey was to collect high quality and timely data on demographic, social and economic characteristics of the household population for national and international development frameworks.

Specifically, the objectives were to: 1. Provide information on the selected economic characteristics of the population including their economic activity status among others. 2. Design and conduct a country-wide agricultural survey through the household approach and to prepare and provide estimates of area and production of major crops and other characteristics at national and regional levels. 3. Meet special data needs of users for the Ministries of Finance, Planning and Economic Development, Agriculture, Animal Industry and Fisheries, Health, Education and Sports among others, and other collaborating Institutions like Economic Policy Research Centre, together with donors and the NGO community so as to monitor the progress of their activities and interventions. 4. Generate and build social and economic indicators and monitor the progress made towards social and economic development goals of the country; and 5. Consolidate efforts being made in building a permanent national household survey capability at UBOS.

Geographic coverage

National

Analysis unit

• Households
• Individuals
• Communities

Universe

The survey covered a sample of household members in each district.

Kind of data

Sample survey data [ssd]

Sampling procedure

Survey Design A two stage sampling design was used to draw the sample. At the first stage, Enumeration Areas (EAs) were drawn with Probability Proportional to Size (PPS), and at the second stage, households which are the Ultimate Sampling Units, were drawn using Simple Random Sampling (SRS).

The sample of EAs for the UNHS 2005/06 was selected using the Uganda Population and Housing Census Frame for 2002. Initially, a total of 600 Enumeration Areas (EAs) was selected. These EAs were allocated to each region on the basis of the population size of the region. However, in the Northern region, the number of EAs drawn was doubled. The extra EAs were to be held in reserve to allow for EA attrition due to insecurity.

After this sample was drawn, it was realized that the sample size in 10 districts needed to be increased to about 30 EAs in each district to have an adequate sample size for separate analysis. These extra EAs were selected using an inter-penetrating sampling method which led to drawing an extra 153 EAs. Moreover, because a considerable proportion of the population in the North was in Internally Displaced People (IDPs) camps, this was treated as a separate selection stratum and an additional sample of 30 EAs was drawn from the IDPs. Thus, a total of 783 EAs representing both the general household population and displaced population was selected for the UNHS 2005/06.

Sample Size The size required for the sample was determined by taking into consideration several factors, the three most important being: the degree of precision (reliability) desired for the survey estimates, the cost and operational limitations, and the efficiency of the design. The UNHS 2005/06 covered a sample size of about 7,400 households.

Mode of data collection

Face-to-face [f2f]

Research instrument

Five types of questionnaires were administered, namely; socio-economic survey questionnaire, agriculture questionnaire, community questionnaire, price questionnaire and crop harvest cards. The Socio-economic questionnaire collected information on household characteristics including education and literacy, the overall health status, health seeking behavior of household members, malaria, fever and disability, activity status of household members, wage employment, enterprise activities, transfers and household incomes, housing conditions assets, loans, household expenditure, welfare indicators and household shocks. The Agricultural module covered the household crop farming enterprise particulars with emphasis on land, crop area, inputs, outputs and other allied characteristics. The Community Survey questionnaire collected information about the community (LC1). The information related to community access to facilities, community services and other amenities, economic infrastructure, agriculture and markets, education and health infrastructure and agricultural technologies. The Price questioonaire was administered to provide standard equivalents of non standard units through weighing items sold in markets. It was used to collect the different local prices and the non standard units which in many cases are used in selling various items. A crop card was administered to all sampled households with an agricultural activity. Respondents were requested to record all harvests from own produce.

Cleaning operations

Double entry was done to take care of data entry errors. Interactive data cleaning and secondary editing was done. All these processes were done using CSPro ( Census Survey Processing Data Entry application).

To ensure good quality of data, a system of double entry was used. A manual system of editing questionnaires was set-up in June 2005 and two office editors were recruited to further assess the consistency of the data collected. A computer program (hot-deck scrutiny) for verification and validation was developed and operated during data processing.

Range and consistency checks were included in the data-entry program that was developed in CSPro. More intensive and thorough checks were carried out using MS-ACCESS by the processing team.

Sampling error estimates

The estimates were derived from a scientifically selected sample and analysis of survey data was undertaken at national, regional and rural-urban levels. Sampling Errors (SE) and Coefficients of Variations (CVs) of some of the variables have been presented in Appendices of the Socio-Economic Report and Agricultural Module Reports to show the precision levels.

Abstract

The main objective of the survey is to determine the prevailing employment, labor-management relations and wage and salary policies and practices in non-agricultural establishments. It aims to provide a benchmark information on employment, labor- management relations and wage and salary practices and policies. Topics covered include establishment profile, employment practices, wage practices, situation of labor management relations and coping mechanisms to globalization.

Geographic coverage

National coverage

Analysis unit

Establishments

Universe

Covered non-agricultural establishments employing 20 or more workers except national postal activities, central banking, public administration and defense and compulsory social security, public education services, public medical, dental and other health services, activities of membership organizations, extra territorial organizations and bodies.

Kind of data

Sample survey data [ssd]

Sampling procedure

Statistical unit: The statistical unit is the establishment. Each unit is classified to an industry that reflects its main economic activity--the activity that contributes the biggest or major portion of the gross income or revenues of the establishment.

Sampling frame: The sampling frame used for the survey was taken from the modified version of the 1996 List of Establishments of the National Statistics Office. This is regularly updated based on the responses to other surveys of the BLES, establishment reports on retrenchments and closures submitted to the Regional Offices of the Department of Labor and Employment and other establishment lists.

Sampling design: Establishments are stratified by 3-digit industry level (except for industries observed to be heterogeneous within their 3-digit level and therefore requires further breakdown at the 4-digit classification). This level of disaggregation was based on industries/sectors covered by the following:
- Industries affected under the General Agreement on Tariffs and Trade(GATT) - Products under the Common Effective Preferential Tariff of the ASEAN Free Trade Agreement (AFTA) - Industries under the Investment Priority Plan of the Board of investment (BOI) - List of export winners of the Department of Trade and Industry (DTI) - Deregulated / liberalized industries - Industries with relatively few players

Establishments in each industry group were classified according to employment size i.e. 20-49, 50-199, and 200 and over. Further if the actual response rate for the survey is at least 80 percent, the sample size for each cell was adjusted to build-in replacement. Geographical location was not considered in the stratification of industries since the policies and practices of establishments do not vary particularly those with regional branches or offices.

Sample size: For IRWS 1999, the sample size was 7,562, of which 5,820 were found to be eligible sampling units.

Note: Refer to Section F of Manual of Instructions

Mode of data collection

Other [oth] mixed method self-accomplished, mailed and face to face

Research instrument

The questionnaire contains the following sections:
Cover page - contains information on purpose of the survey, collection authority, coverage, reference period and due date. It also contains the Establishment Profile that inquires into the main economic activity/principal product, total and female employment, ownership (with foreign equity or wholly Filipino), presence of a union and existence of a collective bargaining agreement in the establishment; Employment Practices - inquires on hiring and retirement and workforce reduction practices; Wage Practices - inquires on the method of fixing or revising wages and salaries, basis of wage payment and grant of allowances, benefits granted to employees and policy in determining days entitlement of sick and vacation leaves; Labor Management Relations - inquires on labor-management communication, union organization and grievance handling; and Coping Mechanisms - inquiries on coping mechanisms to globalization and measures implemented by establishments to cope with economic crisis (1997 Asian financial crisis in the 1999 IRWS questionnaire). Survey Results - selected statistical information from the preceding survey round are provided for information of the respondents.

Cleaning operations

Data are manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the establishments to ensure completeness, consistency and reasonableness of entries in accordance with the field operations manual. The forms are again checked for data consistency and completeness by the field supervisors. The BLES personnel undertake the final review, coding of data based on standard geographical/industrial classification, data entry/encoding and validation and scrutiny of aggregated results. Questionnaires with incomplete or inconsistent entries are returned to the establishments for verification personally or through mail.

Note: Please refer to INDUSTRIAL RELATIONS AT THE WORKPLACE SURVEY (IRWS) 1999 (Manual of Instructions)

Response rate

The response rate was 77.0%

Sampling error estimates

Estimates of the sampling error not computed.