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Work: the past, the present, and the future Per Krusell

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Work: the past, the present, and the future

Per Krusell

@Work in the Future

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Outline

▪ International and historical outlook

▪ Interpretation from an economics perspective

▪ Implications for policy

▪ Implications for the future

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Hours per capita in developed countries; log scale

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Hours per capita in a broad cross-section of countries

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Summary

▪ Across countries, hours worked (per capita) falls with income

▪ Over time – within each country – hours fall as income grows

▪ Quantitatively: for 2% income growth (real wage, or

productivity, growth), hours fall by a little less than 0.5%

▪ Small, but adds up – clearly visible across countries at different levels of development and over long time periods

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Economic interpretation

▪ In the long run, hours worked are determined by labor supply – not by labor demand

▪ It’s about how much people want to work

It’s not about the availability of jobs: the economy “scales”

▪ Labor supply: with higher wages, we want to work (slightly) less

The ”substitution effect” (incentives) makes us want to work more

The ”income effect” from high wages makes us not need to work more, as we are richer – and we can afford some more free time

▪ Net effect: the income effect is stronger than the substitution effect!

▪ So: low hours worked hours does not have to indicate that the economy is malfunctioning!

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Sound strange?

▪ Yes, because in a ”real situation”, new technology can eliminate jobs – remains true since Industrial Revolution

▪ But these are short-run effects: new technology is an example of structural change, taking away some jobs…

▪ … but new ones are always created – and how many, eventually, is determined by how much we want to work

▪ Thus, new technology causes change in the labor market:

Many’s skills become obsolete/superfluous – some also lose jobs

▪ Though others’ skills are in higher demand

▪ Over time, new jobs appear in response to workers’ demands – though what kinds of jobs is always hard to predict

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The challenges

▪ New technology often creates unemployment, and higher wage inequality too, and with that social tension.

▪ Downward pressure on wages for those with less relevant skills – if prevented to fall: unemployment

▪ Unemployment and wage inequality may be hard to avoid in the short run. Wage inequality may persist for some

time.

▪ Who wins and who loses? Who knows!

▪ Significant uncertainty

▪ Hard to know how to educate yourself/train workers beforehand

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Challenges for the market economy

▪ Training increasingly important in a high-tech economy

with continuous technical change. Do markets provide the right amount of training?

▪ Inherent difficulty: firms may not want to pay for training for a worker unless the knowledge is firm-specific. So:

underprovision of general technology knowledge.

▪ This is one reason for government-run education. But with fast technology growth learning may have to be life-long.

▪ May cause a trend toward life-long tenures at a given firm.

Large firms, within which workers move according to skills and needs. Would help solve training problem.

▪ Sweden: can broad unions/employer associations help?

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Challenges for policy

▪ It is hard to predict what skills will be needed

▪ Higher education has historically been an insurance against the uncertainty of skill demands…

▪ … but not entirely clear under AI/robotics, since not only

”routine jobs” can be replaced

▪ What can be done?

▪ Flexicurity (Danish style): relatively unregulated labor market, accompanied by social security/insurance system so that workers dare to retrain, despite uncertainty – key for an efficient economy

▪ Forward-looking educational system; easier said than done, but probably much to be improved

▪ Government-sponsored retraining in general knowledge

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The future

▪ Economists have no crystal ball allowing us to see how technology will develop, what jobs will look like, etc.

▪ For this, consult engineers, natural scientists, marketing people, … maybe they have answers?

▪ Economists can mostly offer general points about how people, firms, and markets behave, based on history

▪ Thus, the details of the policies, education efforts, etc. will have to be designed as we go along and experience the future…

▪ But the general policy points above should still be helpful.

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Conclusions

▪ Human history tells us we are likely to want to work less and less the more productive we become – and this is what new technology does: it increases productivity

▪ However, under fast technological change we will keep experiencing tensions, because the fruits of the increased productivity do not fall on all: we will see unemployment, higher wage inequality; some will work more, some less

▪ These are important challenges

▪ Government policy: flexible labor market, social insurance, subsidized training in general knowledge, forward-looking education system

▪ Market evolution: life-long firm tenures?

References

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