Fiji - Fiji Employment/Unemployment Survey

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1 National Data Archive Fiji - Fiji Employment/Unemployment Survey Fiji Bureau of Statistics - Ministry of Strategic Planning, National Development and Statistics Report generated on: August 19, 2013 Visit our data catalog at: 1

2 Overview Identification ID NUMBER FIJ-FBS-EUS v1 Version VERSION DESCRIPTION Version Data is still in editing process PRODUCTION DATE Overview ABSTRACT The Employment and Unemployment Survey (EUS) will be the fourth household survey to be undertaken by the Household Survey Unit of the Fiji Bureau of Statistics. Previous surveys were the HIES , EUS and the 2007 Population Census. It is a nationwide sample survey spreadout in rounds throughout the year to capture the seasonal effects on the economic activity of the people of Fiji. Purpose of the EUS The principal objective of the survey is to obtain comprehensive statistical data on the labour force or the economically active population, which comprise the employed and unemployed. The survey will also gather information on the economically inactive population. From the data, the size and structure of the country's workforce will be determined and used to assess changes in labour supply and demand by comparing with figures obtained in earlier census and surveys. The details will give us an insight into how available human resources are utilised in the different sectors of the economy. Such information is essential for planning and formulating policies on the development of human resources. Data such as educational attainment, training level and field, availability for work etc. are important in the design and evaluation of overall government policies aimed at promoting and creating employment. These include training programmes, schemes to help people start or return to work, assistance in setting up an enterprise and other incentives for employment promotion. Need to find out the evolution of employment in the different economic sectors of the economy. We need to have the survey conducted regularly in order to monitor current trends for instance we need to find out where the net annual increases in the labour force are being absorbed. Employment and unemployment data is very important for socio-economic development in the country. The availability of such information will allow government to better address the development and utilisation of the country's human resource stock. Results and findings of the EUS will provide Government with recent and more detailed data on the present employment and unemployment situation. A lot of changes have occurred since the EUS, the 2007 Census provides indicative labour force numbers which are limited in detail, and the annual employment surveys relate only to those in formal wage and salary employment. At the same time, concern over the employment situation is increasing. Even without detailed knowledge it can be observed that the growth in the number of rewarding job opportunities is not keeping pace with the rate of increase of the labour force. Key Objectives 1) Economic activity that people are engaged in to earn their living. 2) To gather information on the country's Human Resources. Number available and number required. Those that are discontent. Structure of working population (occupation and industry) 2

3 3) To provide details on the trends in the labour force or economically activity persons in the country. 4) Skill shortage, skill levels, 5) Secondary Activity 6) Unemployment 7) Inactive Population INFORMATION TO BE GATHERED Fiji - Fiji Employment/Unemployment Survey The EUS is an in-depth survey which gathers detailed labour force information such as, employment, unemployment, underemployment, work skills, employment initiatives of the unemployed etc. Such information is required if we are to better understand the true size and nature of the country's labour force. The following information is gathered in the EUS: i) Labour Force Number, Distribution, Characteristics and Capabilities; ii) Labour Supply and Demand with employment, unemployment and underemployment details; iii) Time Use; iv) Problems Encountered; v) Internal Migration and Reasons; and vi) Formal and Informal Sector employment. vii) Types of economic activity people are engaged in to earn a living such as the Occupation and Industry details of the working population. viii) Patterns of employment and underemployment ix) Patterns and characteristics of unemployment x) Geographical distribution of working people xi) Ethnic differences of employment and unemployment xii) Employment in association with disabilities xiii) Employment and Unemployment in association with levels of education xiv) General conditions of work xv) Internal migration and reasons Questionnaire Structure 1. Schedule 1 - Listing 2. Schedule 2 - Block 1 Demographic Particulars, Education and Economic Status 3. Schedule 2 - Block 2 For all economically active persons at any time during the last 12 months 4. Schedule 2 - Block 3 For all economically active persons in the last 7 days 5. Schedule 2 - Block 4 For all unemployed during the last 7 days 6. Schedule 2 - Block 5 Internal Migration 3

4 7. Schedule 2 - Block 6 Child Labour Particulars 8. Schedule 2 - Block 7 Own-Account Income and Expenses Particulars 9. Schedule 2 - Block 8 Housing Particulars KIND OF DATA Sample survey data [ssd] UNITS OF ANALYSIS The units of analysis for the EUS are: - individual (person) - household This will also be based on the 7 stratums of sample selection: - Central/Eastern Urban - Central Rural - Eastern Rural - Northern Urban - Northern Rural - Western Urban - Western Rural Scope NOTES The scope of the EUS Survey includes: Person record: demographic characteristics like age, marital status, employment status, economic activity for 12 months and 7-day period, child labor Household record: household characteristics Coverage GEOGRAPHIC COVERAGE The nation wide EUS will provide estimates at the following levels: - National - Administrative Division - Central - Eastern - Northern - Western 4

5 - Urban / Rural UNIVERSE The survey covered all usual residents in private households. Institutions dwellings are not included. Producers and Sponsors PRIMARY INVESTIGATOR(S) Name Fiji Bureau of Statistics Affiliation Ministry of Strategic Planning, National Development and Statistics FUNDING Name Abbreviation Role Fiji Government FijiGov Funding Provision AusAID AUsAID Fund data Analysis Metadata Production METADATA PRODUCED BY Name Abbreviation Affiliation Role Asikinasa Toga Raikoti ATR Fiji Bureau of Statistics Documentor Epeli Waqavonovono EW Fiji Bureau of Statistics Documentor Serevi Baledrokadroka SB Fiji Bureau of Statistics Documnetor DATE OF METADATA PRODUCTION DDI DOCUMENT VERSION Version 1 (July 2012) - This is the first documentation of the Fiji Employment/Unemployment Survey (Labor Force) for DDI DOCUMENT ID DDI-FIJ-FBS-EUS v01 5

6 Sampling Sampling Procedure A representative sample size of 4000 households is being targeted with the households to be selected from 400 out of the 1,602 Enumeration Areas covering the whole country. A sample size of 4000 households will provide the required level of data reliability. A commonly used two-stage sampling strategy was adopted in order to draw a representative sample of households. In the first stage a representative sample of 200 Urban and 200 Rural EAs were selected. This was followed by the listing stage, which updated population and household numbers in the selected EAs. The household list was re-arranged before a sample of 10 households was selected. Sample Selection The sampling frame was the updated Urban and Rural EAs of the 2007 Population and Housing Census. The EAs were divided into the Central, Eastern, Northern and Western divisions. Within these administrative divisions there were further divisions into urban and rural areas. Altogether there are 7 stratums in the sample: - Central/Eastern Urban (these two were combined due to the small number of urban area in the Eastern Division) - Central Rural - Eastern Rural - Northern Urban - Northern Rural - Western Urban - Western Rural The sample of 4000 households will be selected from a sample of 400 EAs. The 400 EAs were selected from a list stratified into the four administrative regions and within these regions by socio-economic class. So eventually the 4000 households were divided into 4 with data collection from each of the 4 samples spread over three months or a sub-round. Therefore with 4 sub-rounds we were able to spread the data collection over a one-year period so that seasonal changes to employment could be captured. Independent samples for each sub-round were selected and this was divided into lots within a sub-round. (Replacement households estimate - 100% response rates after replacement) Sample Strategy - Stage 1: Select a sample of EAs - Stage 2: Select a cluster of households from each selected EA Stage 1 - Select EAs - The list of EAs within each stratum was sorted by size, where the size measure was the number of households within the EA - Probability Proportional to Size (PPS) sampling was then adopted to select a sample of EAs Two Stage Sampling Stage 2 - Select Households - Within each selected EA, an updated list of households will be produced - From this updated list, a fixed cluster of 10 households will be selected using systematic sampling - In summary, the EUS can be considered a stratified two stage design with PPS sampling being used to select EAs at the first stage and systematic sampling being used to select a fixed cluster of dwellings at the second stage 6

7 Weighting Estimation Procedure Concept of a weight - If only a sample of units are being used to estimate the characteristics for a population, then those units must represent more than only themselves - The factor that determines how many units in the population a sampled unit represents, is known as the weight - This weight can differ for different units in the sample - The weight for a two stage sample unit can be viewed as the inverse of the probability of selection for that unit The probability of selection of a unit is: Probability of selection at 1st stage x Probability of selection at 2nd stage Based on the sampling design and the stratified two stage systematic sampling procedure, the weights were calculated as follows. Let Ni = Total number of Households in i th stratum in EUS Frame 2004 Nij = Total number of Households in i th stratum/j th EA in EUS Frame 2004 Hij = Total number of Households in i th stratum/j th EA during listing hij = Actual number of households surveyed in i th stratum/j th EA nij = Number of EAs selected in i th stratum The probability of selection of the jth EA in the ith stratum is given by: Nij x ni..(1) Ni The probability for any household to be selected is given by: hij..(2) Hij Then the probability of selection of any household is obtained by multiplying (1) and (2): Nij x ni x hij.. (3) Ni x Hij The 'weight' is then given by the inverse of (3) i.e. Ni x Hij Wij = Nij x ni x hij Or (No of Hhlds in i th Stratum j th EA - Frame) x (No. of Hhlds in Listing ) (No of Hhlds in EA - Frame) x (No. of Hhlds Surveyed) x (No.of EAs in Stratum) Thus the Total Population Estimate becomes Y =? Wij (y) where Wij = weight at ith stratum/j th EA for population (y) Example 7

8 - Two stage process involves the selection of EA's (1st stage), followed by the selection of households (2nd stage) - Prob of EA being selected = 1/4 - Prob of household being selected if the EA was selected = 1/8 Therefore - Prob of household being selected = 1/4 * 1/8 = 1/32 - Weight for that unit = 32 8

9 Questionnaires No content available 9

10 Data Collection Data Collection Dates Start End Cycle Time Periods Start End Cycle N/A Data Collection Mode Face-to-face [f2f] 10

11 Data Processing No content available 11

12 Data Appraisal No content available 12