Abstract |
Survey Number
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1523
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Survey Title
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Japanese Panel Study of Employment Dynamics, 2022
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Depositor
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Recruit Works Institute
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Restriction of Use
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For detailed information, please refer to 'For Data Users' on the SSJDA website.
- Apply to SSJDA. Depositor's approval is required. |
Educational Purpose
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Available for both research and instructional purposes. |
Period of Data Use Permission
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One year |
Access to Datasets
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Download |
SSJDA Data Analysis
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Not available |
Summary
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The Japanese Panel Study of Employment Dynamics (JPSED) is an annual follow-up survey of the employment status, income, and work conditions of individuals during the year prior to the survey. The purpose of the JPSED is to compile and publish the Works Index and to grasp the actual status of employment and non-employment in Japan and its changes. The purpose of the Japanese Panel Study of Employment Dynamics is to track the employment status, income, and work status of individuals during the year prior to the survey and to compile and publish a Works Index. This survey was conducted as the seventh survey. (See also the official website of the National Panel Survey of Employment Status: https://www.works-i.com/surveys/panel-surveys.html)
This survey also seeks to clarify the actual status of side jobs among employed workers by conducting an additional survey of those who had side or concurrent jobs from January to December 2021.
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Data Type
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quantitative research: micro data
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Universe
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Men and women 15 years old and older nationwide
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Unit of Observation
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Individual
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Sample Size
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number of responses 56,695
Starting with the 2018 survey, there are three types of respondents: continuing sample (respondents from last year), additional sample (new respondents from this year), and resurrected sample (respondents from before 2020 who did not respond to the 2021 survey).
Continuation sample: 44,605 (number of questionnaires sent, responses solicited: 53,981, response rate: 82.6%)
Additional sample: 7,210 (number of questionnaires sent, responses solicited: 14,367, response rate: 50.2%)
Resurrection sample: 4,880 (number of questionnaires sent, responses solicited: 25,055, response rate: 19.5%)
The 16 samples above were excluded from the total because they had emigrated abroad during this year's survey.
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Date of Collection
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2022-01-06 ~ 2022-02-07
2022/1/6-1/31
Additional survey: 2022/1/14-2/7
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Time Period
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2022 ~ 2022
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Spatial Unit
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Japan
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Sampling Procedure
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Non-probability: Quota
The data from the "Labor Force Survey" of the Statistics Bureau of the Ministry of Internal Affairs and Communications were used to make allocations by gender, age, class strata, employment status, regional block, and educational background. The allocation was set to reflect the population. However, the non-working population of teenagers and those aged 70 and over were allocated smaller numbers than in reality. Specifically, the allocation was as follows.
Gender: male/female
Age: 15-19/20-24/25-34/35-44/45-54/55-64/65-69/70-74/75 and over
Employment status: labor force/non-labor force
Employment status: self-employed workers/family employees/officers/full-time/non-full-time/unemployed
Academic background: less than a college graduate/above a college graduate/currently enrolled in school
Residence: 11 areas: Hokkaido /Tohoku /South Kanto /North Kanto and Koshin /Hokuriku /Tokai /Kinki /Chugoku /Shikoku /Kyushu /Okinawa
Weighting is conducted so that the composition of gender, age, employment status, and education reflects the population.
The report includes the results after weighting (56,736 persons after weighting).
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Mode of Data Collection
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Internet survey
Conditionally eligible persons were selected from a survey panel (Mighty Monitors) owned by Intage Inc.
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Investigator
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Recruit Works Institute,
Intage Inc. conducted the actual inspection.
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DOI
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10.34500/SSJDA.1523
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Sponsors (Funds)
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Related Publications (by the Investigator)
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Refer to the Japanese version for details.
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Related Publications (based on Secondary Analysis)
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List of related publications (based on Secondary Analysis)
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Documentation
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[Questionnaire (Main survey)] [Questionnaire (Additional survey)]
[Tables (Main survey)] [Tables (Additional survey)]
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Major Survey Items
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[Face Items]
Gender, age, date of birth, current place of residence, last school attended, department graduated from, current grade, department to be graduated from, dropout experience, marital status, presence of their children, number of their children, age of their children, type of residence, cohabitants, primary earner, employment status (Jan-Dec 2021)
[As of December last year]
(1) Employment status and working style as of December last year
Whether or not they have an occupation, type of employment, employment status, whether or not they have a store
Reasons for having the job, reasons for being out of work, and whether they could have gotten a job immediately if one had been available.
Desire to have a job, degree of desire to have a job
Whether or not they look for work, reasons for not looking for work
Reasons for not having a job, reasons for not wanting to have a job
(2) Workplace and job description as of December last year
Type of industry, size of workforce, occupation type, and position
Employment contract period, duration of employment contract
Health insurance coverage, pension plan coverage, unemployment insurance coverage
Working days and hours (per week)
Whether/to what extent they wish to increase or decrease their working hours, possibility/reason for increase in working hours/content of work
Method of payment, hourly wage
Flexibility of work (flexibility of working days, flexibility of working hours, flexibility of working place, whether or not workers can leave work in the middle of the day)
Location of work other than the workplace
Work style
Work ratio (primary responsibilities, peripheral chores, waiting time)
Methods of Commuting
Daily schedule: commuting, housework/child care (by days worked/holidays)
Telework hours, telework system introduction/application status, telework system targets
Number of times respondents have left the company
【The last year (January-December)】
(3) About their life during the last year (January-December)
Happiness, life satisfaction
Life events, work events, study activities
Vacation time taken, percentage of paid vacation time taken
Health status (stress)
(4) Income during the last year (January-December)
Sources of income for living expenses
How to cover living expenses
(5) Learning and training on the job during the last year (January-December)
Job level improvement
Opportunities for on-the-job training (OJT) and off-the-job training (OFF-JT)
Self-development activities
(6) Work environment during the last year (January-December)
Workplace conditions (workload, discrimination, power harassment, sexual harassment, labor union, injuries, mental health)
Nature of work (variety of work, understanding of overall work, impact on others, degree of self-discretion, just and fair evaluation)
Job satisfaction (satisfaction with the job itself, satisfaction with personal relationships, sense of growth, future career prospects, satisfaction with past work history, working hard, working enthusiastically, absorbed in work, feeling busy, feeling obligated to work hard)
(7) WLB during the last year (January to December)
The stress of balancing work and family life
(8)Side job
Whether or not they have a side job, intention to have a side job, reasons for wanting to have a side job, reasons for not having a side job, and reasons for having a side job
Employment status and type of occupation description of the side job with the highest income, and whether or not it has a store.
Number of side jobs, weekly hours worked at side jobs
Whether or not the primary employer allows side jobs.
[Past and plans]
(9) First job
Type of employment, industry, size of workforce, occupation type
(10) About previous jobs
Type of employment, type of industry, size of workforce, type of occupation
Number of working days, working hours (per week), annual income
Way of getting a job
The order in which respondents left their previous jobs and decided on their current jobs and the reasons for their departure.
(11) Career of married couples with children
Employment status before and after the birth of the youngest child (when the pregnancy became known, at the time of the birth, and the first birthday), systems used at the time of the birth of the youngest child
Number of days of leave taken under the childcare leave system, number of days of annual paid leave taken for childcare
(12) Past and future employment intentions, etc.
Place of residence (15 years old, 20 years old, and when first employed)
Grade in the third year of junior high school
Date of graduation from school before entering the workforce/date of entry and leaving first job /date of entry and leaving previous employer /date of entry into employer as of December last year.
Annual income from a primary job and side jobs, and income from sources other than the jobs.
Who can they consult?
Spouse's employment status, work-related events (spouse's leaving or entering the workforce), spouse's annual income
Whether or not nursing is provided.
Intention to change jobs or to have jobs
Efforts made during the past year to choose a career path, desired career path in the future, career path after graduation, experience of job-hunting
(13) Impact of new coronavirus infection
Effects of new coronavirus infection on employment status and work style
[Additional survey]
(14) Side jobs and additional jobs
Type of employment, route of finding employment, duration of contract, duration of employment, frequency of employment, timing of employment, benefits, problems, future intentions
Merits, problems, future intentions
Do they tell their employer about their side/additional job?
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Date of Release
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2022/12/01
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Topics in CESSDA
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Click here for details
Retirement
Unemployment
Working conditions
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Topics in SSJDA
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Employment/Labor
Society/Culture
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Version
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1 : 2022-12-01
1.1 : 2023-02-21
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Notes for Users
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When connecting up to the seventh survey and conducting a panel analysis using only continuing respondents, a separate application for data on weights (SSJDA1524) adjusted for continuation probability prediction and dropout is required. The weight data are particular data from the viewpoint of confidentiality.
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