Correlational finding on Happiness and subject: Security of job

StudyGreen & Heywood (2011): study GB 1999
TitleFlexible Contract and Subjective Wellbeing.
SourceEconomic Inquiry, 2011, Vol. 49, 716 - 729
URLhttp://www.researchgate.net/profile/John_Heywood/publication/227346218_FLEXIBLE_CONTRACTS_AND_SUBJECTIVE_WELLBEING/links/0046351a5dfc82a60e000000.pdf
DOIdoi:10.1111/j.1465-7295.2010.00291.x
Public20-65 aged employees, United Kingdom, 1999-2004
SampleProbability sample (unspecified)
Non-Response
Respondents N =30700

Correlate
Author's labelFlexible contract
Page in Source 720,726
Our classificationSecurity of job
Operationalization
1: Flexible contracts:
    a  fixed term contract
    b  agency work
    c  other flexible contract
0 Permanent contract

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-n-7-eOPRC=+.15 ns
Males: Fixed term contract
O-SLW-u-sq-n-7-eOPRC=+.22 ns
Males: Agency work
O-SLW-u-sq-n-7-eOLRC=-.13 ns
Males: Other flexible contracts
O-SLW-u-sq-n-7-eOPRC=+.11 ns
Females: Fixed term contract (vs Permanent)
O-SLW-u-sq-n-7-eOPRC=+.00 ns
Females: Agency work
O-SLW-u-sq-n-7-eOPRC=-.21 ns
Females: Other flex contracts

OPRC controlled for:
- Personal characteristics:
  - Age
  - Marital status
  - Presence of a dependent child
  - Education level
- Job characteristics:
  - Tenure years
  - Usual hours
  - Usual overtime
  - Log wage
  - Union membership
  - Public sector employment
  - Firm size
  - Managerial or supervisory role
  - Employer provided pension
  - Employer provided training
  - Annual pay incremnents
  - Night and shift work
  - Flexitime
  - Annualized hours
  - Term time work only
  - Job sharing

Fixed effect analysis


Appendix 1: Happiness measures used
CodeFull Text
O-SLW-u-sq-n-7-eSelfreport on single question:

How dissatisfied or satisfied are you with your life as a whole?
1 not satisfied at all
2
3
4
5
6
7 completely satisfied


Appendix 2: Statistics used
SymbolExplanation
OLRCREGRESSION coefficient in ORDERED categorical LOGISTIC analysis.

Only the sign of the computed coefficient is informative.

Happiness is an ordered categorical variable. Higher categories correspond to being happier.

OLRC < 0 indicates that the odds of being beyond a chosen happiness category-to- be-ing at or below that category decreases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

OLRC > 0 indicates an increase in the odds for both the above cases.
OPRCREGRESSION coefficient in ORDERED categorical PROBIT analysis.

Only the sign of the computed coefficient is informative.

Happiness is an ordered categorical variable. Higher categories correspond to being more happy.

OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.

OLRC > 0 indicates that the probability of being beyond a chosen happiness category
increases and the probablity of being at or below that category decreases when

1) the corresponding metric correlate increases
2) the corresponding category of a categorical correlate is compared to the reference category.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl