
[quote]pat wrote:
Gael wrote:
pat wrote:
Gael wrote:
pat wrote:
Gael wrote:
… Revenue increased during the Bush years, not because of his tax cuts, but because the economy grew.
You do realize you just shot your self in the foot with that, right? And why do you think the economy grew, sun spots?
Ignorant. Any economy that is not in a recession will grow. Slow growth economies can still qualify as a recession. The economy grew, but not as much as the historical average, and certainly not as much as it did during the Clinton years.
Why is it that you can post stupid shit, and no one will call you out on it as long as you are on the right?
Exactly right your post is ignorant as fucking hell and you clearly have no clue how the real world works. You may not remember but the lion’s share of the economic growth of the '90’s where tied up in dot-bombs and Enron.
In case you weren’t old enough to know at that point, you’d know that those poor ass decisions caused the recession in 01-02 because people figured out that if you don’t actually make things or if you just make up profit numbers out of thin air, you won’t stay in business long.
A superb nonrebuttal. We are not discussing the causes of the economic growth of the 90s.
Hey your the one who brought up the nineties. I am merely pointing out the facts of the era and Clinton’s “New Economy”. Sorry you got called on it.
Let me remind you – you are trying to say that Bush’s tax cuts caused the economy to grow which in turn caused tax revenue to increase. This would imply that we were on the wrong side of the Laffer curve. I pointed out that the economic growth was subpar during this time period and that Laffer himself does not agree with you.
Lets see if you can stop wiggling and stay on topic.
I really don’t give a shit what Laffer thinks, other than his “curve” I do not know who he is nor do I give a shit.
The fact of the matter is that governmental revenue intake increased 20% after the tax cuts were put in place…You see the economy functions on how much money is moving in the various markets.[/quote]
Yeah, and revenue DOUBLED under the Clinton administration. The Bush tax cuts did not increase revenue nor were they intended to.
[quote]Since taxes are taken when money changes hands and in low tax periods, more money tends to change hands more often, then you have more opportunities to tax. The revenue generated by more taxing opportunities vastly outweighs the amount generated when a few are taxed more…Look at the car industry.
Who makes more money, Honda or Ferrari? Honda of course because they sell a lot more cars than Ferrari does even though Ferrari makes the price of several Hondas on a single car sale. It is better, for the government, to create more taxing opportunies than it is to tax a few people a lot more. It’s just simple math.[/quote]
But we aren’t talking about progressive vs flat tax schemes. And weren’t you one of the ones who was trying to feed us the bullshit that Bush’s tax changes were actually progressive rather than regressive?
[quote]Perhaps looking at causation rather than correlation would suit you better. You do know the difference?
Yes. Better than you do. Empirical data can only offer correlative links. Causality is a higher assertion that empirical data is too week to demonstrate. So while correlation does not imply causation, it offers predictive power.
Change in unemployment is more strongly correlated to presidency than any other factor. Period. As such, we can safely predict that today’s 6.5 percent unemployment rate will decline under Obama.
What?! Causality is an assertion? LOL! Causality it the initiator of it’s resultant effect. The cause possesses the effect and hence they are related.
The purpose of correlation is specifically to imply causation. Otherwise it is just random data that doesn’t mean anything.[/quote]
What bundle of confusion. Correlation is not “random data.” It’s correlated data that is meaningful even if you cannot demonstrate causation. If two variables, A and B, go up and down together, they are correlated. The reason that you cannot assert causality on correlation alone is because there are three possibilities:
- A causes B
- B causes A
- Both share a common cause
Laymen take “correlation” to mean “a bunch of random coincidences.” This is wrong, and so are you. Correlation can be observed from empirical data. Causality cannot. But economists do not need to demonstrate causality in order to make predictions based on correlative evidence. Causality is a stronger notion than predictability.
In offering the correlation between unemployment and presidency, I do not need to demonstrate causality to make a prediction.
On the other hand, if your economic model make predictions that right wing politics will reduce unemployment, and you are wrong every time, it is time for you to rethink your economic beliefs.