A supply and demand curve means that if the price of goods falls due to trade, the quantity demanded will increase. This in turn gives more cause for employment.
You're adding new assumptions ("more people can be employed")
Now, I say that astronomers observations of the universe are the equivalent of economic data. you're trying to claim that they're different because one is "historical" and the other "experimental". So no, I do not understand why you consider them to be different, nor why that difference makes one a science and one an art.
But where you really seem to be getting desperate is statements like this:
An extra haircut daily makes no difference to a hairdresser's employment status. Your customer isn't creating or destroying a job.
Finally, you say about where the money goes:
It might also end up tied in real estate, it might end up nowhere due to inflation
That's a reading comprehension failure on your part, not a new assumption on mine.
A set of historical data such as employment numbers or currency exchange rates has no control. You can't say, let's magnify the data beyond what we have, you can't say let's go and look at the previous data years before the earliest records, you can't say let's ungroup the data now into constituent time series for a specific subpopulation, etc.
Are you really saying you can't comprehend why increasing the number of haircuts that happen increases the number of hairdessing jobs? Is that really the basis for your argument against trade creating employment: that yes it increases the number of haircuts, but not hairdressing jobs? You're really descending into the absurd there.
So you're really talking about large increases so that you can neglect in theory the ability of a business to leverage its existing resources to meet demand. It's a nice simplification: if you equate an arbitrarily small change in demand with a continuous increase in employment, you can introduce differential equations to model equilibria.
Trouble is that for many things you might want to model, there are jumps. For example, if you think about computer science students entering the work force, this is correlated with the ends of academic years. So you get a time when there are many available candidates to fill the demands of employers, and then there's the rest of the year when the talent pool is basically unchanged until the academic year ends again. So your company is experiencing demand, and wants to employ more cs students, but it may well have to wait for the next available batch of graduates, or be prepared to spend more and poach from competitors.
This is the same category of error that you made earlier: you're confusing "some" with "all".
Now, again, you're denying any increase in wealth increases employment, which means you deny that any of the money saved goes to spending or investment. Instead you say it all becomes tied up in real estate or inflation.
Now what is inflation? It's the raising of prices. You're arguing that lowering of prices has no benefit because... it raises prices. That's not a "complex accounting problem", that's an absurdity.
I'm getting a strong impression that don't even have a minimal grasp on the basics of what you're trying to talk about.
Which leaves your other explanation: all the money becomes "tied in real estate". Now it's possible to buy real estate and not derive any benefit from it. You could choose not to rent it out, not to run a business for it, not to live in it and save rent (the rent saved going back into spending and investment again). That's a pretty stupid thing to do though. Yet you're now arguing that all the money saved from globalization goes into there. That's another absurdity.
That's right. And if you think about it, that's not what you mean either. What you mean to say is that increasing the number of haircuts requires more _activity_ from hairdressers, which expands until said hairdressers are unable to meet the extra demand, at which point if they can afford it and they can find someone or train someone and have the space etc, a new job will be created. So you're really talking about large increases so that you can neglect in theory the ability of a business to leverage its existing resources to meet demand. It's a nice simplification: if you equate an arbitrarily small change in demand with a continuous increase in employment, you can introduce differential equations to model equilibria. Trouble is that for many things you might want to model, there are jumps. For example, if you think about computer science students entering the work force, this is correlated with the ends of academic years. So you get a time when there are many available candidates to fill the demands of employers, and then there's the rest of the year when the talent pool is basically unchanged until the academic year ends again. So your company is experiencing demand, and wants to employ more cs students, but it may well have to wait for the next available batch of graduates, or be prepared to spend more and poach from competitors.
Again, your argument depends on all supply and demand curves, across the whole economy, being absolutely straight lines, with not one trade-friendly sector or industry where an increase in demand means an increase in supply.
That's yet another absurdity.
Three absurdities make a pretty weak argument.
Now, onto the science argument. You say:
I don't know how to put this any other way than I already have. Prediction and understanding requires controlled experiments. A physicist in a lab who does controlled experiments is doing science. Even an astronomer who can point a telescope anywhere he likes and can magnify pictures of the sky as much as he likes is controlling his experiments to some extent. A set of historical data such as employment numbers or currency exchange rates has no control. You can't say, let's magnify the data beyond what we have, you can't say let's go and look at the previous data years before the earliest records, you can't say let's ungroup the data now into constituent time series for a specific subpopulation, etc.
Furthermore, governments are constantly making economic decisions, based on economics. These consist of experiments: changing the economy according to theories.
An astronomer can look at different parts of the sky, but he cannot change it. Nor can he collect arbitrary data from new stars that appear, though an economist can get new data all the time.
An economist thus has far more control than an astronomer. And he can carry out controlled experiments to a greater degree than the astronomer.
So, by your own criteria, economics is a science, yet astrophysics is not. [ Parent ]
That's an exceedingly complicated question. It might also end up tied in real estate, it might end up nowhere due to inflation, etc. It all depends how you account for things.
If you're saying wealth creation does not create jobs, where do you think the money goes?
You're making the same some-for-all error yet again. All I need to make the case for trade to create jobs is that the increase in the number of haircuts demanded leads to some level of increase in the number of hairdressing jobs.
in the number of hairdressing jobs. You're coming up with reasons why the increase might be a lesser increase than in an absolutely perfect market.
However, the argument you're trying to make, which no Neoclassical nor Keynesian nor Marxian economist would agree with, is that these little bits of friction somehow absolutely cancel out any increase in the number of hairdressers. Yet you can't explain why.
Now, onto the science argument. [...] This is the opposite of the case. Economic data is constantly being created and recorded. An economist can start a new study collecting any kind of new data he chooses to collect. An astronomer has no control over what the sky does.
Merely collecting data is not what a controlled experiment is. Economists start studies all the time, and they do so in highly uncontrolled conditions, while trusting that statistics and long term equilibria ("econometrics") will compensate for the underlying flaws. And lo and behold, they justify all this by making more assumptions on how people supposedly behave!
There's simply no comparison with hard science.
That's not necessary. All that's necessary is some of the wealth created goes to create jobs.
You haven't come up with any counterexamples to that at all! The best you can do is come up with an example of why the increase may be slightly slower than in an ideal case. Even so, jobs are still created by trade.
Similarly, you're trying to argue that created wealth somehow does not go to spending or investment. You haven't given any examples to that except inflation and property. The inflation example simply doesn't make any sense since we're talking wealth not simply money: more hair is being cut, more coal mined, more steel refined in the trade case to the no-trade case; so with no more money being printed it doesn't make sense that inflation would be increased. In that case we're talking deflation not inflation: same amount of money to buy more stuff means lower prices, not higher.
The only example that might make any sense at all is the idea that created wealth goes to unproductive property, that is not used for anything. But even that falls apart against the some/all issue. If any wealth goes elsewhere, then the central point is correct and increased wealth creates some jobs.
Your lone example is not a counter-example. If there is any mixture of where the wealth goes: even if 99.9% of wealth goes to buy unproductive property and 0.1% going to spending or investment, then some jobs are created. For your argument to work, exactly 100% needs to go there.
You need to show that absolutely no created wealth goes to spending or investment for your argument to work; and obviously enough, you can't.
Merely collecting data is not what a controlled experiment is. Economists start studies all the time, and they do so in highly uncontrolled conditions, while trusting that statistics and long term equilibria ("econometrics") will compensate for the underlying flaws. And lo and behold, they justify all this by making more assumptions on how people supposedly behave! ... I suspect that you don't understand what devising an experiment (step 1) and collecting data (step 2) means.
As far as I can see, you've pulled the notion of controlled experimental astrophysics straight out of your arse to try to justify your beliefs.[ Parent ]
