Why Are Economists Frequently Surprised by Government Data?

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SUMMARY

The recent U.S. government economic data release for November revealed a net job increase of only 39,000, which surprised many economists who had predicted a much higher figure of around 175,000. This discrepancy highlights the limitations of economic forecasting models, as many economists rely on educated guesses rather than precise predictions. The discussion emphasizes the need for transparency regarding the models used in these predictions and suggests that media reports should clarify that economists' expectations often differ from actual outcomes. The concept of the "replacement rate," approximately 130,000 new jobs per month, is crucial for understanding job growth dynamics.

PREREQUISITES
  • Understanding of economic forecasting models, such as IS-LM and AD-AS.
  • Familiarity with the concept of the "replacement rate" in labor economics.
  • Knowledge of the influence of political factors on economic predictions.
  • Basic grasp of statistical methods for analyzing economic data.
NEXT STEPS
  • Research the IS-LM model and its applications in macroeconomic analysis.
  • Explore the concept of the "replacement rate" and its significance in labor market studies.
  • Investigate the impact of political affiliations on economic predictions and theories.
  • Learn about the financial accelerator model developed by Ben Bernanke and its implications for economic forecasting.
USEFUL FOR

Economists, financial analysts, policymakers, and anyone interested in understanding the complexities of economic forecasting and the factors influencing job market predictions.

  • #31
snoopies622 said:
Oh, I know. I just said that what you said reminded me of it.

Ok, I get it now. You meant 'fiction' literally as opposed to metaphorically. Cheers.
 
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  • #32
Can you think of a field of study that has more variables, so few constants, and so many manipulative participants?
 
  • #33
No. And yet in principle one should be able to apply the scientific method to it, by isolating variables and looking for correlations. Maybe it just needs another few hundred years.
 
  • #34
snoopies622 said:
No. And yet in principle one should be able to apply the scientific method to it, by isolating variables and looking for correlations. Maybe it just needs another few hundred years.

The scientific method should be applied to health care reform.
 
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  • #35
skilgannonau said:
...I've stated this in another post, but unless you a see fundamental breakthrough in economics, economics isn't going to have the same predictive power as there is in physics (or even weather science). At best you're going to have approximations.

Wait... Weather science IS physics. The system is quite complex and nonlinear but nevertheless modeled by physical components which obey laws of physics.

Physicists developed finite element models (sometimes 1,000,000 x 1,000,000 matrices) of some of the Space Shuttle Orbiter subsystems to predict dynamic stresses and strains across the structures during ascent (mechanical vibrations). They at least had the advantage of testing the structures on the ground in order to adjust the models to produce the same vibrational resonance frequencies and other modal parameters. And even after all of that pretesting, the predictions of stresses and strains were in error by around 10% for certain modes of vibration, and in error of over 100% at high frequencies.

Just to make the point that even though F = ma is well established, there is no guarantee that the model for a given physical system will be simple. By the way, physicists don't even try to apply closed form solutions to predict interactions between the very complex molecules.
 

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