Sunday, December 8, 2019

NL: Occupation with the highest life satisfaction was ship/aircraft controller; lowest life satisfaction was in forestry; highest for women was creative & performing artist, for men it was keyboard operator

Van Leeuwen, J. & Veenhoven, R.  Would I be happier as a teacher or a carpenter? Erasmus Happiness Economics Research Organization EHERO, Working Paper 2019/4. https://personal.eur.nl/veenhoven/Pub2010s/2019n-full.pdf

ABSTRACT: Most people are looking for ways to make their life as happy as possible. Since we work a great part of our life time, it is worth knowing which occupations will bring us the most happiness and which will bring the least. This requires information on how happy people are in different occupations and in particular, what kinds of people are the happiest in what kinds of occupation. We sought answerers to these questions using data taken from the WageIndicator for 2006 to 2014 for the Netherlands. The large dataset of 160.806 respondents made it possible to assess differences in happiness levels in 130 occupations and to split the results across 4 personal characteristics. The occupation in the Netherlands with the highest life satisfaction was ship, aircraft controller and technician working in this field. The occupation in the Netherlands with the lowest life satisfaction was forestry and related work. The occupation giving the most life satisfaction for women was creative and performing artist, for men it was keyboard operator.

Key words: Happiness, Life-satisfaction, Occupational choice

4.2 Further research along this line

Replication on a more representative dataset
This research can be repeated with more recent data and with a more representative data set e.g. using the workforce survey of Statistics Netherlands (CBS, Dutch Labour Force Survey (LFS), 2019) This will reduce the effect of self-selection and remove the effects of the economic recession.

Replication on a larger dataset
The WageIndicator provides not only data for the Netherlands but has information for 93 countries (WageIndicator, 2019). Pooling data obtained in other developed countries will produce a much larger dataset than used here, which will allows us to consider more specific kinds of people.
Subsequent research can provide insights into cross-national differences in happiness across occupations around the world.

Replicate on job-satisfaction
It is also possible to investigate job-satisfaction in the same way we have investigated life-satisfaction in this study. Job-satisfaction in the case of the data of the WageIndicator needs to be transform to an equal scale with life-satisfaction, to make it possible to investigate its cohesion, or lack of, with life-satisfaction. In the case of job-satisfaction we also need to investigate further personal scales next to personal characteristics, incombination with the scales needed for each occupation.

Assess difference between job-satisfaction and life-satisfaction
Above in section 2.1, we noted that it is easier to estimate the degree of job-satisfaction one will experience in a particular occupation than to predict how that occupation will affect one’s wider life-satisfaction. It is therefore worth getting a view on the differences that exist between jobsatisfaction and life-satisfaction in occupations. Are there substantial differences? If so, which occupations provide more job-satisfaction than life-satisfaction and which more life-satisfaction than job-satisfaction?
A specific group to be considered in this context, are the people who work as entrepreneurs. Of course, a distinction can be made between various types of entrepreneurship. For example, self-employed entrepreneurs and family entrepreneurs. This group of workers has not been examined, but would be a good topic for future research, that is to look at the life-satisfaction and job-satisfaction of different entrepreneurs.

Assess effect of job characteristics
Receiving direct feedback from peers, customers, patients, students or engineered devices might lead to a higher life satisfaction compared to a more indirect feedback when actions taken do not provide feedback and one would have to rely on one’s own judgement of the quality of the output delivered. Besides, the variation of this effect over the course of one’s career could also be assessed.

Assess effect of pay
Based on the results presented here it is possible to look at occupations in a differed way, we can now look both at income-based results of work and, importantly at the effect of types of occupation on life-satisfaction. This means that it becomes possible to see payment as a compensation for lower life satisfaction, a new way to look at our working lives’.

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