res_ind: Data frame containing individual-level data for resilience...

In philmikejones/thesis: hrsim: A spatial microsimulation analysis of health inequalities and health resilience

Description

Data frame containing individual-level survery data for resilience simulation.

Usage

res_ind

Format

The data frame contains the following variables:

pidp

Unique person ID

car

Number of cars at most recent wave

ten

Tenure at most recent wave

qual

Highest qualification at most recent wave

mar

Marital status

eca

Economic activity

sex

Sex at most recent wave

eth

Ethnic group

age

Age at most recent wave

depress

Clinical depression self-reported

nhood_coh

Neighbourhood cohesion (similar to others in neighbourhood)

nhood_trust

Neighbourhood trust

nhood_belong

Belong to neighbourhood

fin_sit

Subjective current financial situation

ghq_conc

GHQ: concentration

ghq_sleep

GHQ: sleep loss

ghq_useful

GHQ: felt useful

ghq_decision

GHQ: can make decisions

ghq_strain

GHQ: Under strain

ghq_diff

GHQ: Problems overcoming difficulties

ghq_enjoy

GHQ: enjoy day-to-day activities

ghq_face

GHQ: able to face problems

ghq_unhappy

GHQ: unhappy or depressed

ghq_confid

GHQ: losing confidence

ghq_worth

GHQ: believe worthless

ghq_happy

GHQ: general happiness

kids

Number of children aged 0-15 in household

hh_income

Gross household income month before interview

poverty

Is household in poverty (less than 60% median income)?

alcohol

Alcohol consumption

Source

https://discover.ukdataservice.ac.uk/catalogue/?sn=6614\&type=Data%20catalogue

philmikejones/thesis documentation built on May 31, 2019, 2:50 p.m.