Labour economicsChapter 2: Labour supply
Income and substitution effects
Key facts
Key facts
- Course
- Labour economics, ECON 331
- Textbook
- Borjas, chapter 2
- Related
The income effect is the change in hours of work caused by a change in income with the wage held constant; if leisure is a normal good, more income means more leisure and fewer hours. The substitution effect is the change in hours caused by a change in the wage with utility held constant; a higher wage makes leisure more expensive, so it always raises hours. A wage increase triggers both, in opposite directions, so its effect on hours is ambiguous.
The intuition
Section titled “The intuition”A worker who wins a lottery is richer but faces the same wage: a pure income effect, which leads them to buy more of every normal good, leisure included. A worker whose wage rises from $20 to $30 is also richer, since the same hours now buy more, but each hour of leisure now costs $30 of consumption instead of $20. The first force says work less; the second says work more.
A change in non-labour income
Section titled “A change in non-labour income”An increase in non-labour income moves the endowment point straight up and shifts the budget line out in parallel. The slope, , does not change, because the price of leisure has not changed. The worker moves from to on a higher indifference curve.
A good is normal if consumption of it rises with income and inferior if it falls. The direction of the change in hours depends only on which kind of good leisure is:
- Leisure normal: leisure rises and hours of work fall.
- Leisure inferior: leisure falls and hours of work rise.
- Hours of work at P0
- 38 hours
- Hours of work at P1
- 26 hours
- Income effect on hours
- −12 hours
The course, like most of the evidence, assumes leisure is normal: an increase in non-labour income reduces hours of work.
A change in the wage
Section titled “A change in the wage”A wage increase from to leaves and unchanged, so the endowment point does not move. The budget line rotates around and becomes steeper. The worker moves from the original optimum to the new optimum . The move splits into two parts:
- Income effect, to . Draw a hypothetical budget line, , parallel to the original budget line (slope ) and just tangent to the new indifference curve . The tangency is . Moving from to raises utility to the new level at the old wage: a pure change in income. With leisure normal, has more leisure than , so the income effect reduces hours.
- Substitution effect, to . Moving along from slope to the steeper slope holds utility constant while leisure becomes more expensive. Because indifference curves are convex, the steeper tangency is to the left of : the substitution effect always raises hours when the wage rises.
The total change in hours is the sum. If the income effect is larger, hours fall when the wage rises; if the substitution effect is larger, hours rise.
- Hours of work at P
- 38.0 hours
- Hours of work at R
- 34.5 hours
- Income effect on hours (P to Q)
- −9.5 hours
- Substitution effect on hours (Q to R)
- 6.0 hours
- Total change in hours
- −3.5 hours
A wage cut runs the same logic in reverse. Leisure becomes cheaper, so the substitution effect lowers hours; the worker is poorer, so with leisure normal the income effect raises hours. Hours can rise or fall.
| Change | Income effect on hours | Substitution effect on hours | Total effect on hours |
|---|---|---|---|
| Non-labour income rises (leisure normal) | Falls | None | Falls |
| Wage rises (leisure normal) | Falls | Rises | Ambiguous |
| Wage falls (leisure normal) | Rises | Falls | Ambiguous |
Which effect dominates at each wage determines the shape of the individual labour supply curve, including whether it bends backward at high wages (labour supply curve and elasticity).
Intermediate microeconomics usually splits the same move the other way round, holding the original utility constant for the substitution effect and adding the income effect afterward (the Slutsky equation). The two decompositions give the same signs; ECON 331 uses the one above, with on the new indifference curve.
Worked example
Section titled “Worked example”A worker has , hours and non-labour income of $200, and earns $20 an hour, so from the work-leisure model and . At the start, , and .
-
Non-labour income rises to $600. , so hours fall from 38 to 26. The income effect is hours: leisure is a normal good.
-
Instead, the wage rises to $30 with . , so hours rise from 38 to 40 and consumption to dollars. This is .
-
Find . is on the new indifference curve where the MRS equals the old wage. Since , the tangency at $20 requires . Setting at equal to its value at , , gives hours, so .
-
Decompose. Income effect: hours. Substitution effect: hours. Total: hours. The substitution effect dominates, as it always does for this utility function when .
Evidence
Section titled “Evidence”Lottery winners. A lottery prize is non-labour income assigned at random among players, the cleanest test of the income effect. Among Massachusetts lottery players, Imbens, Rubin and Sacerdote found that unearned income reduces labour earnings, with a marginal propensity to consume leisure of about 11 percent: each extra dollar of unearned income cuts earnings by about 11 cents, with larger effects for people aged 55 to 65.1 Among Swedish lottery players, winning a prize modestly reduces earnings; the drop is immediate, persistent, and similar across age, education and sex.2 Both findings say leisure is a normal good, and both say the income effect is modest.
Hours over the long run. Across countries, hours worked have fallen by a little under half a percent a year for about 150 years as wages grew. Boppart and Krusell show that this is what happens when the income effect of higher wages slightly outweighs the substitution effect; the postwar United States, where hours stopped falling, is the exception.3
Average annual hours actually worked per worker
Selected OECD countries, all workers
- Canada
- United States
- France
- Germany
- Japan
- United Kingdom
Show the data and notes
Total hours actually worked in the year ÷ average number of people in employment (employees and self-employed). The OECD advises using these data to compare trends over time, not levels across countries, because national sources and methods differ. Rounded to whole hours, the OECD's published precision.
| Period | Canada | United States | France | Germany | Japan | United Kingdom |
|---|---|---|---|---|---|---|
| 1970 | 1,925 | 1,949 | 1,993 | 1,960 | 2,243 | 1,775 |
| 1971 | 1,912 | 1,936 | 1,990 | 1,929 | 2,239 | 1,740 |
| 1972 | 1,904 | 1,933 | 1,937 | 1,906 | 2,228 | 1,709 |
| 1973 | 1,898 | 1,934 | 1,920 | 1,877 | 2,201 | 1,760 |
| 1974 | 1,891 | 1,903 | 1,888 | 1,838 | 2,137 | 1,725 |
| 1975 | 1,872 | 1,882 | 1,863 | 1,801 | 2,112 | 1,720 |
| 1976 | 1,862 | 1,884 | 1,889 | 1,813 | 2,128 | 1,704 |
| 1977 | 1,834 | 1,888 | 1,850 | 1,796 | 2,129 | 1,687 |
| 1978 | 1,836 | 1,879 | 1,819 | 1,777 | 2,123 | 1,669 |
| 1979 | 1,841 | 1,877 | 1,816 | 1,765 | 2,126 | 1,661 |
| 1980 | 1,827 | 1,859 | 1,806 | 1,746 | 2,121 | 1,619 |
| 1981 | 1,812 | 1,855 | 1,786 | 1,724 | 2,106 | 1,567 |
| 1982 | 1,789 | 1,847 | 1,714 | 1,713 | 2,104 | 1,581 |
| 1983 | 1,779 | 1,867 | 1,696 | 1,700 | 2,095 | 1,568 |
| 1984 | 1,789 | 1,884 | 1,690 | 1,689 | 2,108 | 1,583 |
| 1985 | 1,795 | 1,883 | 1,654 | 1,666 | 2,093 | 1,613 |
| 1986 | 1,797 | 1,875 | 1,648 | 1,647 | 2,097 | 1,615 |
| 1987 | 1,807 | 1,884 | 1,659 | 1,624 | 2,096 | 1,605 |
| 1988 | 1,808 | 1,884 | 1,667 | 1,619 | 2,092 | 1,642 |
| 1989 | 1,802 | 1,895 | 1,651 | 1,596 | 2,070 | 1,631 |
| 1990 | 1,797 | 1,878 | 1,645 | 1,573 | 2,031 | 1,617 |
| 1991 | 1,775 | 1,868 | 1,638 | 1,554 | 1,998 | 1,615 |
| 1992 | 1,772 | 1,867 | 1,635 | 1,565 | 1,965 | 1,583 |
| 1993 | 1,769 | 1,876 | 1,627 | 1,540 | 1,905 | 1,577 |
| 1994 | 1,778 | 1,887 | 1,623 | 1,537 | 1,898 | 1,586 |
| 1995 | 1,775 | 1,886 | 1,579 | 1,529 | 1,884 | 1,586 |
| 1996 | 1,790 | 1,887 | 1,575 | 1,516 | 1,892 | 1,586 |
| 1997 | 1,802 | 1,894 | 1,574 | 1,506 | 1,865 | 1,586 |
| 1998 | 1,797 | 1,892 | 1,565 | 1,503 | 1,842 | 1,582 |
| 1999 | 1,795 | 1,889 | 1,561 | 1,490 | 1,810 | 1,572 |
| 2000 | 1,789 | 1,880 | 1,542 | 1,465 | 1,821 | 1,558 |
| 2001 | 1,775 | 1,860 | 1,523 | 1,457 | 1,809 | 1,563 |
| 2002 | 1,757 | 1,854 | 1,490 | 1,448 | 1,798 | 1,543 |
| 2003 | 1,747 | 1,844 | 1,493 | 1,443 | 1,799 | 1,534 |
| 2004 | 1,757 | 1,845 | 1,517 | 1,443 | 1,785 | 1,534 |
| 2005 | 1,747 | 1,842 | 1,519 | 1,432 | 1,777 | 1,544 |
| 2006 | 1,745 | 1,847 | 1,503 | 1,452 | 1,786 | 1,536 |
| 2007 | 1,745 | 1,842 | 1,525 | 1,454 | 1,785 | 1,541 |
| 2008 | 1,742 | 1,830 | 1,532 | 1,447 | 1,771 | 1,525 |
| 2009 | 1,710 | 1,799 | 1,520 | 1,407 | 1,714 | 1,516 |
| 2010 | 1,715 | 1,810 | 1,528 | 1,425 | 1,733 | 1,507 |
| 2011 | 1,711 | 1,820 | 1,534 | 1,427 | 1,728 | 1,515 |
| 2012 | 1,721 | 1,827 | 1,528 | 1,406 | 1,745 | 1,531 |
| 2013 | 1,714 | 1,825 | 1,513 | 1,396 | 1,734 | 1,534 |
| 2014 | 1,709 | 1,830 | 1,504 | 1,400 | 1,729 | 1,542 |
| 2015 | 1,710 | 1,831 | 1,504 | 1,402 | 1,719 | 1,525 |
| 2016 | 1,705 | 1,822 | 1,507 | 1,396 | 1,714 | 1,541 |
| 2017 | 1,694 | 1,820 | 1,492 | 1,388 | 1,709 | 1,536 |
| 2018 | 1,704 | 1,826 | 1,500 | 1,381 | 1,680 | 1,536 |
| 2019 | 1,693 | 1,823 | 1,504 | 1,372 | 1,644 | 1,537 |
| 2020 | 1,658 | 1,800 | 1,391 | 1,314 | 1,597 | 1,364 |
| 2021 | 1,691 | 1,819 | 1,469 | 1,341 | 1,607 | 1,498 |
| 2022 | 1,693 | 1,810 | 1,498 | 1,343 | 1,607 | 1,532 |
| 2023 | 1,694 | 1,805 | 1,503 | 1,339 | 1,611 | 1,524 |
| 2024 | 1,697 | 1,796 | 1,509 | 1,334 | 1,617 | 1,538 |
| 2025 | 1,687 | 1,800 | 1,498 | 1,332 | 1,598 | 1,533 |
Common mistakes
Section titled “Common mistakes”Check yourself
Section titled “Check yourself”The wage rises and leisure is a normal good. Which statement about the effect on hours of work is correct?
The wage falls and leisure is a normal good. What happens to hours of work?
Leisure is a normal good and a worker's wage rises. Which outcomes are consistent with the labour-leisure model? Select all that apply.
Select all that apply.
Sources
Section titled “Sources”-
Imbens, G. W., Rubin, D. B. and Sacerdote, B. I. (2001). Estimating the effect of unearned income on labor earnings, savings, and consumption: Evidence from a survey of lottery players. American Economic Review, 91(4), 778 to 794. doi:10.1257/aer.91.4.778. ↩
-
Cesarini, D., Lindqvist, E., Notowidigdo, M. J. and Östling, R. (2017). The effect of wealth on individual and household labor supply: Evidence from Swedish lotteries. American Economic Review, 107(12), 3917 to 3946. doi:10.1257/aer.20151589. ↩
-
Boppart, T. and Krusell, P. (2020). Labor supply in the past, present, and future: A balanced-growth perspective. Journal of Political Economy, 128(1), 118 to 157. NBER working paper 22215. ↩