Correlational findings | World Database of Happiness

Study Green & Heywood (2011): study GB 1999 /1

Public: 20-65 aged, UK, followed 5 years 1999-2004
Survey name: UK-BHPS 1999-2004
Sample
Respondents: N = 10000
Non Response
Assessment: Interview: face-to-face

Correlate

Authors's Label

Current Employment Contract

Our Classification

Remarks

Pooled waves. Employees is all workers aged 20-65.

Distribution

Male a,b,c is: 1,9%, 0,7%, 1%.
Female: a,b,c is: 2,7%,0,9%, 1,8%

Operationalization

a fixed term contract
b agency work
c other flexible contract
d permanent contract

Rated
1 yes
0 no

Observed Relation with Happiness

Happiness Measure

Statistics

Elaboration / Remarks

O-SLW-u-sq-n-7-e

OPRC = -.10 ns

REGRESSION 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.

Employees only, MALES
- Fixed term contract (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.23 p < .05

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Agency work (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.23 p < .05

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Other flexible contract (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.00 ns

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

All respondents, MALES
- Fixed term contracts (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.26 p < .10

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Agency work (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.07 ns

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Other flexible contract (vs not)

O-SLW-u-sq-n-7-e

OPRC = +.22 p < .10

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Permanent (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.16 p < .05

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

Employees only, FEMALES
- Fixed term contract (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.37 p < .10

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Agency work (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.22 p < .10

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Other flexible contracts (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.05 ns

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

All respondents, FEMALES
- Fixed term contract (vs not)

O-SLW-u-sq-n-7-e

OPRC = -.13 p < .01

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Agency work (vs not)

O-SLW-u-sq-n-7-e

OPRC = +.04 ns

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Other flexible contract (vs not)

O-SLW-u-sq-n-7-e

OPRC = +.19 p < .10

REGRESSION coefficient in ORDERED categorical PROBIT analysis.

- Permanent (vs not)

O-SLW-u-sq-n-7-e

OPRC controled for:
- regio
- year
- personal characteristics
  - age
  - marital status
  - presence of a dependent child
  - education level
- job characteristics
  - tenure
  - usual hours
  - usual overtime
  - log wave
  - union membership
  - public sector employement
  - etc.