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Which occupations are best for wellbeing? There is a large literature on earnings differentials, but less attention has been paid to occupational differences in non-pecuniary rewards. However, information on both types of rewards is needed to understand the dispersion of wellbeing across occupations. We analyse subjective wellbeing in a large representative sample of UK workers to construct a measure of “full earnings”, the sum of earnings and the value of non-pecuniary rewards, in 90 different occupations. We first find that the dispersion of earnings underestimates the extent of inequality in the labour market: the dispersion of full earnings is one-third larger than the dispersion of earnings. Equally, the gender and ethnic gaps in the labour market are larger than data on earnings alone would suggest, and the true returns to completed secondary education (though not to a degree) are underestimated by earnings differences on their own. Finally, we show that our main results are similar, and stronger, for a representative sample of US workers.

In choosing when to end the lockdown, policy-makers have to balance the impact of the decision upon incomes, unemployment, mental health, public confidence and many other factors, as well as (of course) upon the number of deaths from COVID-19. To facilitate the decision it is helpful to forecast each factor using a single metric. We use as our metric the number of Wellbeing-Years resulting from each date of ending the lockdown. This new metric makes it possible to compare the impact of each factor in a way that is relevant to all public policy decisions.

A dedicated tax is the only way that we can be sure the government is reflecting public wishes, says Richard Layard, but John Appleby argues it would not protect funding from economic uncertainty