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    Home / Central Data Catalog / CHN_2012_STEP-HH_V02_M
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STEP Skills Measurement Household Survey 2012 (Wave 1)

China, 2012
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Reference ID
CHN_2012_STEP-HH_v02_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Study website
Created on
Sep 05, 2014
Last modified
Mar 29, 2019
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49841
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  • Study Description
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  • Data files
  • STEP Yunnan_HH
    Roster_s10_final
  • STEP
    Yunnan_working

Data file: STEP Yunnan_working

STEP Yunnan Working Dataset
The second data file will provide data from Module 1A to Module 11 for all selected individual respondents, including information entered on the Cover Page and Back Cover.

Cases: 2017
Variables: 1031

Variables

read_dummy
Dummy for reads overall
write_dummy
Dummy for writes overall
num_dummy
Dummy for numeracy overall
extraversion_av
Extraversion (average of q01 q04 q20)
conscientiousness_avg
Conscientiousness (average of q02 q12 q17)
openness_av
Openness (average of q03 q11 q14)
stability_av
Emotional Stability (average of q05 q10 q18)
agreeableness_av
Agreeableness (average of q09 q16 q19)
grit_av
Grit (average of q06 q08 q13)
decision_av
Decision making (average of q15 q21 q23 q24)
hostile_av
Hostile Bias (average of q07 q22)
risk
Risk aversion
discount
Time preference
mother_educ
Mother's education
father_educ
Father's education
max_parent_educ
Maximum of parents' education
children
Number of children under 6 years old
children0
1: no children under 6 in the hh
children1
1: one child under 6 in the hh
children2
2: 2 or more children under 6 in the hh
has_children
respondent is the parent of a child in the hh
hh_size
HH size, excludes non-relatives
labor_dep
# employed hh members / hh_size
gender
Gender
age
Age
age2
Age squared
has_spouse
Has a spouse
life_sat
Life satisfaction
chronic
Chronic disease
old_brothers
Number of younger brothers at age 12
old_sisters
Number of older sisters at age 12
young_brothers
Number of younger brothers at age 12
young_sisters
Number of younger sisters at age 12
father_mother
Lived with mother and father at age 12
shocks
Number of economic shocks before age 15
shocks2
Index for number of economic shocks before age 15
shocks_dummy
Dummy for economic shocks before age 15
BMI
Body Mass Index
BMI_class
BMI classification
parental
Parental involvement in education
ses
Socioeconomic status at age 15
mother_tongue
Mother tongue
lm_status
Labor market status
active
Dummy for active in the labor market
emp_status
Employment status
self_emp
Self-employment dummy
emplast12
Currently working or worked in last 12 months
emp6
Worked at least 6 months since completed highest level of education
unemployed
1=unemployed, 0=employed
employed
1=employed, 0=not employed
wage_worker
Percent of wage workers
inactive
Types of inactive population
occupationcode
Occupation code
occupation
Occupation
occtype
Occupation type
type_a
Type A occupation
type_b
Type B occupation
occtype_step
Occupation type (STEP Aggregation)
last_occ_inun
Last occupation for inactive/unemployed (STEP Aggregation)
occtype_step_emp12
Most recent occupation for those who worked in last 12 months (STEP Aggregation)
ad_occ_inun
First additional occupation, inactive/unemployed (STEP Aggregation)
ad_occ_current
First additional occupation, currently working (STEP Aggregation)
ad_occ_emp12
First additional occupation, emp last 12 months (STEP Aggregation)
permanent
Permanent position
pub_emp
Public or private sector employee
size_est
Category for number of paid workers in establishment
contract
Has written employment contract
benefits
Receives social security benefits at work
informal
Informal dummy
informal_wage
Informal (only wage workers)
informal_self
Informal (only self-employed)
tenure
Number of months in current job
tenure_squared
Tenure squared
exp_needed
Years of work experience needed for the job
time_needed
Time to learn to do job well with experience and education needed
tenure_range
Time to learn to do job well with experience and education needed expressed as r
tenure_dif
Difference between tenure and time needed to do job well
exp_proxy
Diference between age and aprox age at end of studies
econ_sector
Economic sector
expand
Desire to expand business and if so, if face constraints
net_profit
Net monthly profit from business
net_profit_usd
USD Net monthly profit from business
hours
Number of hours worked last week in main occupation
hours_d
Average number of hours worked daily in main occupation
earnings_h
Hourly labor earnings
earnings_h_usd
USD Hourly labor earnings
ln_earnings_h
Log of hourly earnings
ln_earnings_h_usd
USD log of Hourly earnings
total_hours_week
Total hours worked during the week, all jobs
underemp
Underemployed
source_funds
Source of funds for starting business
business_size
Size of business at start
ece
Attended preschool
certificate
An industry-recognized or govt certificate, not from a formal ed. institution?
current
Currently attending school
dropout
Dropped out of highest educational level started
interrupt
Interrupted studies for one academic year or more
training
Participated in a training course in last 12 months
apprenticeship
Has completed an apprenticeship
late_first_grade
Started first grade at age 8 or older
school_type
Type of school attended
age_start
Age started first grade
ISCED_vo
RECODE of m2_q08 (Highest level of formal educ)
other_v
RECODE of m2_q15 (At what educ level is this additional...?)
ISCED_v
Highest ISCED completed, with vocational distinction
ISCED
Highest ISCED completed
educ_voc
Highest education level completed is vocational/general
ISCED_p
Highest ISCED completed, PIAAC
highest_field_1
Field of highest degree (first reported)
highest_field_2
Field of highest degree (second reported)
current_ISCED
ISCED level currently attending
current_ISCED_v
ISCED currently attending, with vocational distinction
current_field
Field currently studying
dropout_ISCED
Highest ISCED level before dropping out
dropout_ISCED_v
Highest ISCED before dropping out, with vocational distinction
dropout_field
Field studying before dropping out
years_educ
Number of years of education
training_field_1
Field of skills training (first reported)
training_field_2
Field of skills training (second reported)
ISCED_needed
Education level need for the job
ISCED_dif
Difference between education and education needed for job
school_location
School location
higher
Reports higher ISCED level than necessary for the job
voc_ISCED
ISCED with voc & gen distinction
asset_index
Asset Wealth Index
asset_q
Asset Wealth Index Quintiles
country
W_Unique_Pwt
W_Unique_HHwt
emp
1=employed, 0=unemployed or inactive
write_dif
Difference between overall writing and writing at work score
Total: 1031
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