CBO's Witch-Doctor Economics and Gypsy Forecasting

I’ve criticized the Congressional Budget Office for generating biased and inaccurate numbers. These are the clowns, after all, who say deficit spending stimulates the economy in the short run but they also rely on a model which seemingly predicts 100 percent tax rates maximize growth in the long run.

About the only nice thing that can be said about this collection of bureaucrats is that they’re consistent, though I’m not sure being wrong all the time is something to brag about – especially when even cartoonists start to make fun of CBO’s flawed approach.

This is why I’ve argued it may be best to shut down CBO and also written that – at a minimum – sweeping reform of the Capitol Hill bureaucracy is a test of GOP seriousness.

I’m not alone in my disdain for CBO. In a column for The Hill, Veronique de Rugy of the Mercatus Center makes two excellent points about the Congressional Budget Office: 1) the general inability of economists to predict (we’d be rich if we knew how to do that) and 2) the use of inaccurate models.

The CBO’s consistently flawed scoring of the cost of bills is used by Congress to justify legislation that rarely performs as promised and drags down the economy. Whether it scores the recent healthcare bill or the cost of the Capitol Hill Visitor Center, an ambitious three-floor underground facility, the price for taxpayers always ends up larger than originally predicted. …Like many economists, its analysts suffer from a misplaced belief in their forecasting prowess. …CBO relies heavily on Keynesian economic models, like the ones it used during the stimulus debate. Forecasters at the agency predicted the stimulus package would create more than 3 million jobs. …But unemployment stubbornly remained around 10 percent. What was wrong with the CBO’s numbers? …the stimulus and the ACA should serve as yet more evidence that Congress should take budget scores and economic projections with a grain of salt. What looks good in the spirit world of the computer model may be very bad in the material realm of real life because people react to changes in policies in ways unaccounted for in these models.

Let’s now move from the general to the specific. Peter Suderman reports from Reason on new research suggesting that costs for just one provision of Obamacare may be far higher than predicted by the jokers at CBO.


The Congressional Budget Office’s official cost estimate for last year’s health care overhaul projected that the law would cost a little less than $950 billion over its first decade. About half of that cost came from the law’s Medicaid expansion, which was projected to enroll 16 million new individuals in the joint federal-state health care program for the poor and disabled. But researchers at Harvard University are now warning that policymakers should be prepared for substantial uncertainty about the true enrollment effects of the Medicaid expansion. In a paper published in the journal Health Affairs earlier this week, a team of health economists estimated that, under the law, new Medicaid enrollment could be as low as 8.5 million people, but also as high as 22.4 million people–with additional costs to match…meaning that a full decade of the Medicaid expansion alone could end up costing nearly $1 trillion–more than the entire law was supposed to cost in its first ten year out of the gate.

The article does note that it’s possible that costs also might be lower than forecast, but Peter explains why the upper-bound estimate is more likely to be accurate because the law creates perverse incentives.

Indeed, CBO’s failure to recognize that new programs will lure people into greater dependency is one of the biggest reasons that the bureaucracy routinely under-estimates the cost of new programs. This is a point I stressed in my video explaining why Obamacare will be far more costly than CBO predicted.

[youtube 7oUx0S6Foss]

Heck, even CBO is beginning to acknowledge that Obamacare will be more expensive than forecast, and most of the legislation hasn’t even been implemented.

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