<p>Let's work such a very simple model. We have a Robinson Crusoe island economy, an isolated individual that lives totally alone. In order to consume something Crusoe must work. Assume for even more simplicity that capital is not needed (say, fruit-gathering by hand). Crusoe does not like to work but he would rather sit relaxed and enjoy the good weather in his island. Apart from the biological necessity to eat something, Crusoe also likes the taste of fruits he gathers. Fruits cannot be stored.</p>

<p>So we have a, daily utility function of the form</p>

<p>$$U = U(c, \ell),  \;\; \ell + L = T$$</p>

<p>$$U_c &gt;0,\;\; U_{\ell}&gt;0,\;\; U_{cc} &lt;0, \;\; U_{\ell \ell} &lt;0,\;\; U_{c\ell} =U_{\ell c} \geq 0$$</p>

<p>The last assumption on the cross-partial seems like the more reasonable one.
$\ell$ is leisure and $L$ is amount of work, and $T$ the maximum amount of time that Crusoe can work (say, $16$ hours). We also have a  "fruit-gathering" function</p>

<p>$$Q = f(L) = AL^a$$</p>

<p>We can reasonably assume that we have decreasing marginal product of labor (due to the body getting tired going up and down all these trees), so $0&lt;a&lt;1$.  </p>

<p>Since fruit cannot be stored and capital is absent, the only optimization problem that makes sense here is a static one, meaning $c=f(L)$.  </p>

<p>Then we want to max over $L$ the function $U[f(L), T-L]$. </p>

<p>The f.o.c. is </p>

<p>$$\frac {\partial U[f(L), T-L]}{\partial L}\equiv G = U_c[f(L), T-L]\cdot f'(L) - U_{\ell}[f(L), T-L] = 0$$</p>

<p>and the s.o.c is</p>

<p>$$ \partial G/\partial L = U_{cc}\cdot f'(L) - U_{c\ell}\cdot f'(L) + U_c\cdot f''(L) - U_{\ell c}f'(L) +U_{\ell \ell} &lt;0$$</p>

<p>Given our assumptions, this expression is everywhere negative, so we have our maximum.  </p>

<p>We want to examine what happens as $A$ in the fruit-gathering function increases. Using the implicit function theorem we have, around the solution,</p>

<p>$$\frac {dL}{dA} = -\frac {\partial G/\partial A}{\partial G/\partial L}$$</p>

<p>We know that the denominator is negative, so together with the minus sign in front becomes positive. Therefore</p>

<p>$$\text{sign}\left\{\frac {dL}{dA}\right\} = \text{sign}\big\{\partial G/\partial A\big\}$$</p>

<p>$$= U_{cc}\cdot[ \partial f/\partial A ]\cdot f' +[\partial f'/\partial A]\cdot U_c  - U_{\ell c}\cdot [\partial f/\partial A] $$</p>

<p>This expression is of ambiguous sign, which is a first indication that things may not be that straightforward after all.  </p>

<p>To validate the conjecture of the OP we would need to obtain,</p>

<p>$$\text{sign}\left\{\frac {dL}{dA}\right\} &lt; 0 \implies U_{cc}\cdot[ \partial f/\partial A ]\cdot f' +[\partial f'/\partial A]\cdot U_c  - U_{\ell c}\cdot [\partial f/\partial A] &lt; 0$$</p>

<p>$$\implies U_{\ell c}\cdot [\partial f/\partial A] &gt;  U_{cc}\cdot[ \partial f/\partial A ]\cdot f' +[\partial f'/\partial A]\cdot U_c$$</p>

<p>$$\implies U_{\ell c} &gt;  U_{cc}\cdot f' +\frac {\partial f'/\partial A}{\partial f/\partial A}\cdot U_c$$</p>

<p>Using the first order condition, we can substitute for $U_c = U_{\ell}/f'$, so</p>

<p>$$\text{sign}\left\{\frac {dL}{dA}\right\} &lt; 0 \implies  U_{\ell c} &gt;  U_{cc}\cdot f' +\frac {\partial f'/\partial A}{\partial f/\partial A}\cdot [U_{\ell}/f']$$</p>

<p>Now</p>

<p>$$\frac {\partial f'/\partial A}{\partial f/\partial A} \cdot \frac {1}{f'} = \frac {(a/L)L^a} { L^a} \cdot \frac {1}{(a/L)AL^a}$$</p>

<p>$$= \frac {1}{f} = \frac {1}{c}$$</p>

<p>So</p>

<p>$$\text{sign}\left\{\frac {dL}{dA}\right\} &lt; 0 \implies  U_{\ell c} &gt;  U_{cc} \cdot f'+ U_{\ell}/c$$</p>

<p>and re-arranging while multiplying throughout by $c/U_c$ and using the f.o.c. again, we get </p>

<p>$$\text{sign}\left\{\frac {dL}{dA}\right\} &lt; 0 \implies  f'\cdot (RRA_c-1) &gt; - U_{\ell c}\cdot c/ U_c$$</p>

<p>where $RRA_c$ is the coefficient of relative risk aversion related to consumption. </p>

<p>So we see that if $RRA_c\geq 1$, which is the usual assumption, this inequality is certain to hold and so indeed higher productivity will lead to less time spent working... so why reality does not conform with our theoretical results?  </p>

<p>But it does. Historically, the amount of time spent working has been declining . The problem with the OP's question is that the phrase "we do as much as we <em>can</em>" is contaminated by framework effects: if what happens around me is people working, say, $10$ hours a day, $5$ days a week, and I work $11$ hours a day, $6$ days a week, I tend to think that, since I exceed the standard around me, "I do what I <em>can</em>", being oblivious to the fact that people used to work $16$ hours a day, $7$ days a week, with perhaps a few days per year off at best. So no, we do not really "do as much as we can".</p>

CC BY-SA 3.0
2016-03-03T14:18:43.923Z
To back this up with a little date: estimated average weekly hours worked in the US fell from about 69 hours in 1830 to about 39 hours in 1988. https://eh.net/encyclopedia/hours-of-work-in-u-s-history/
Ubiquitous
CC BY-SA 3.0
2017-06-07T00:28:58.773Z
A better conclusion than arguing that people are actually working less (which already tends to break down as the OP restricts their question to the past 100 years; and the [average 100 years ago](https://eh.net/encyclopedia/hours-of-work-in-u-s-history/) was 45-50 hours/week, not 112) might be to argue that the average standard of living has also drastically increased.  We consume a great many things that would be considered luxury/status symbols 100 years ago, and it's probable that a good portion of our "spare" capacity from increased productivity has gone into making that possible.
aroth
CC BY-SA 3.0
2017-06-07T00:49:49.483Z
@aroth Working less does not imply consuming less. Also, I don't see were in the question the OP restricts the scope to the last 100 years. Moreover, this is a very abstract answer to a question that, when diving in the real world, would need calibration per country, even. It just brings in the surface what the theory would have to say (since the OP also asks for "a very simple model"), and then mentions that it doesn't appear to  contradict observed experience. (CONTD)
Alecos Papadopoulos
CC BY-SA 3.0
2017-06-07T00:51:07.550Z
@aroth (CONTD)  People in the past worked _very hard_ and _very long_ hours, just to scrap by. Even a tic in productivity would lead to reduced hours of work. This has been observed in many countires, it is the _lower_ backward bending part of the labor supply curve, see also this answer, https://economics.stackexchange.com/a/7049/61
Alecos Papadopoulos
CC BY-SA 3.0
2017-06-07T00:54:02.970Z
@AlecosPapadopoulos - The '100 years' constraint is in the OP's question title:  "Why has increased productivity **over the last 100 years** not affected how much people work?".
aroth
CC BY-SA 3.0
2017-06-07T08:29:44.923Z
@aroth you 're right never saw it! Nevertheless it wouldn't affect my abstract approach
Alecos Papadopoulos
CC BY-SA 3.0
2016-03-03T00:07:59.240Z
2016-03-03T19:46:35.687Z
2016-03-03T19:46:35.687Z
Alecos Papadopoulos
<p>If we are generally richer and more productive due to better technology and other factors, why do we still work so much? </p>

<p>I understand that there are various incentives to work (e.g. implicit status awards) that aren't linked with productivity in the abstract. But in a very simple model, if we can do more with less input, why are we still doing as much as we can?</p>

CC BY-SA 3.0
2016-03-02T20:52:01.417Z
Because our needs/consumption have not remained  remained constant.
ChinG
CC BY-SA 4.0
2024-11-07T02:13:59.923Z
Because while productivity has increased dramatically since 1970, wages have not incresed. Productivity growth: Between 1979 and 2020, productivity increased by 70%.
Pay growth: During the same period, the hourly pay of typical workers increased by 12%
JoeHobbit
<macroeconomics><labor-economics><behavioral-economics><productivity>
Why has increased productivity over the last 100 years not affected how much people work?
gsastry
# Why has increased productivity over the last 100 years not affected how much people work?

(Asked by: username_0 on 2016-03-02)

If we are generally richer and more productive due to better technology and other factors, why do we still work so much?

I understand that there are various incentives to work (e.g. implicit status awards) that aren't linked with productivity in the abstract. But in a very simple model, if we can do more with less input, why are we still doing as much as we can?

**Tags:** macroeconomics, labor-economics, behavioral-economics, productivity
> **Comments:**
> **username_1**: Because our needs/consumption have not remained  remained constant.  
> **username_2**: Because while productivity has increased dramatically since 1970, wages have not incresed. Productivity growth: Between 1979 and 2020, productivity increased by 70%. Pay growth: During the same period, the hourly pay of typical workers increased by 12%  

---

## 1 answers

### Answer by username_3 on 2016-03-03. Score: 9 | Accepted answer

Let's work such a very simple model. We have a Robinson Crusoe island economy, an isolated individual that lives totally alone. In order to consume something Crusoe must work. Assume for even more simplicity that capital is not needed (say, fruit-gathering by hand). Crusoe does not like to work but he would rather sit relaxed and enjoy the good weather in his island. Apart from the biological necessity to eat something, Crusoe also likes the taste of fruits he gathers. Fruits cannot be stored.

So we have a, daily utility function of the form

$$U = U(c, \ell), \;\; \ell + L = T$$

$$U\_c >0,\;\; U\_{\ell}>0,\;\; U\_{cc} <0, \;\; U\_{\ell \ell} <0,\;\; U\_{c\ell} =U\_{\ell c} \geq 0$$

The last assumption on the cross-partial seems like the more reasonable one.
$\ell$ is leisure and $L$ is amount of work, and $T$ the maximum amount of time that Crusoe can work (say, $16$ hours). We also have a "fruit-gathering" function

$$Q = f(L) = AL^a$$

We can reasonably assume that we have decreasing marginal product of labor (due to the body getting tired going up and down all these trees), so $0

Since fruit cannot be stored and capital is absent, the only optimization problem that makes sense here is a static one, meaning $c=f(L)$.

Then we want to max over $L$ the function $U[f(L), T-L]$.

The f.o.c. is

$$\frac {\partial U[f(L), T-L]}{\partial L}\equiv G = U\_c[f(L), T-L]\cdot f'(L) - U\_{\ell}[f(L), T-L] = 0$$

and the s.o.c is

$$ \partial G/\partial L = U\_{cc}\cdot f'(L) - U\_{c\ell}\cdot f'(L) + U\_c\cdot f''(L) - U\_{\ell c}f'(L) +U\_{\ell \ell} <0$$

Given our assumptions, this expression is everywhere negative, so we have our maximum.

We want to examine what happens as $A$ in the fruit-gathering function increases. Using the implicit function theorem we have, around the solution,

$$\frac {dL}{dA} = -\frac {\partial G/\partial A}{\partial G/\partial L}$$

We know that the denominator is negative, so together with the minus sign in front becomes positive. Therefore

$$\text{sign}\left\{\frac {dL}{dA}\right\} = \text{sign}\big\{\partial G/\partial A\big\}$$

$$= U\_{cc}\cdot[ \partial f/\partial A ]\cdot f' +[\partial f'/\partial A]\cdot U\_c - U\_{\ell c}\cdot [\partial f/\partial A] $$

This expression is of ambiguous sign, which is a first indication that things may not be that straightforward after all.

To validate the conjecture of the OP we would need to obtain,

$$\text{sign}\left\{\frac {dL}{dA}\right\} < 0 \implies U\_{cc}\cdot[ \partial f/\partial A ]\cdot f' +[\partial f'/\partial A]\cdot U\_c - U\_{\ell c}\cdot [\partial f/\partial A] < 0$$

$$\implies U\_{\ell c}\cdot [\partial f/\partial A] > U\_{cc}\cdot[ \partial f/\partial A ]\cdot f' +[\partial f'/\partial A]\cdot U\_c$$

$$\implies U\_{\ell c} > U\_{cc}\cdot f' +\frac {\partial f'/\partial A}{\partial f/\partial A}\cdot U\_c$$

Using the first order condition, we can substitute for $U\_c = U\_{\ell}/f'$, so

$$\text{sign}\left\{\frac {dL}{dA}\right\} < 0 \implies U\_{\ell c} > U\_{cc}\cdot f' +\frac {\partial f'/\partial A}{\partial f/\partial A}\cdot [U\_{\ell}/f']$$

Now

$$\frac {\partial f'/\partial A}{\partial f/\partial A} \cdot \frac {1}{f'} = \frac {(a/L)L^a} { L^a} \cdot \frac {1}{(a/L)AL^a}$$

$$= \frac {1}{f} = \frac {1}{c}$$

So

$$\text{sign}\left\{\frac {dL}{dA}\right\} < 0 \implies U\_{\ell c} > U\_{cc} \cdot f'+ U\_{\ell}/c$$

and re-arranging while multiplying throughout by $c/U\_c$ and using the f.o.c. again, we get

$$\text{sign}\left\{\frac {dL}{dA}\right\} < 0 \implies f'\cdot (RRA\_c-1) > - U\_{\ell c}\cdot c/ U\_c$$

where $RRA\_c$ is the coefficient of relative risk aversion related to consumption.

So we see that if $RRA\_c\geq 1$, which is the usual assumption, this inequality is certain to hold and so indeed higher productivity will lead to less time spent working... so why reality does not conform with our theoretical results?

But it does. Historically, the amount of time spent working has been declining . The problem with the OP's question is that the phrase "we do as much as we *can*" is contaminated by framework effects: if what happens around me is people working, say, $10$ hours a day, $5$ days a week, and I work $11$ hours a day, $6$ days a week, I tend to think that, since I exceed the standard around me, "I do what I *can*", being oblivious to the fact that people used to work $16$ hours a day, $7$ days a week, with perhaps a few days per year off at best. So no, we do not really "do as much as we can".

> **Comments:**
> **username_4**: To back this up with a little date: estimated average weekly hours worked in the US fell from about 69 hours in 1830 to about 39 hours in 1988. https://eh.net/encyclopedia/hours-of-work-in-u-s-history/  
> **username_5**: A better conclusion than arguing that people are actually working less (which already tends to break down as the OP restricts their question to the past 100 years; and the [average 100 years ago](https://eh.net/encyclopedia/hours-of-work-in-u-s-history/) was 45-50 hours/week, not 112) might be to argue that the average standard of living has also drastically increased.  We consume a great many things that would be considered luxury/status symbols 100 years ago, and it's probable that a good portion of our "spare" capacity from increased productivity has gone into making that possible.  
> **username_3**: @aroth Working less does not imply consuming less. Also, I don't see were in the question the OP restricts the scope to the last 100 years. Moreover, this is a very abstract answer to a question that, when diving in the real world, would need calibration per country, even. It just brings in the surface what the theory would have to say (since the OP also asks for "a very simple model"), and then mentions that it doesn't appear to  contradict observed experience. (CONTD)  
> **username_3**: @aroth (CONTD)  People in the past worked _very hard_ and _very long_ hours, just to scrap by. Even a tic in productivity would lead to reduced hours of work. This has been observed in many countires, it is the _lower_ backward bending part of the labor supply curve, see also this answer, https://economics.stackexchange.com/a/7049/61  
> **username_5**: @AlecosPapadopoulos - The '100 years' constraint is in the OP's question title:  "Why has increased productivity **over the last 100 years** not affected how much people work?".  
> **username_3**: @aroth you 're right never saw it! Nevertheless it wouldn't affect my abstract approach  

---

