How Urban Planners Caused the Housing Bubble (Policy Analysis) 77%

By null null91%

10/1/2009, 4:00:00 AM

BS Summary: This article contains 22 faulty reasoning types, including Hasty Generalization, Overconfidence Bias, and Availability Heuristic, with Confirmation Bias as the most egregious example at 30.2% saturation with 111 hits. Analysis detected 983 faulty-reasoning hits from 367 analyzed words, generating a BS Score of 69.2% and a BS Rank of 77% (4,302 of 18,098 articles). This article is worse (more manipulative) than 76.20% of the article peer group.

Everyone agrees that the recent financial crisis started with the deflation of the housing bubble. 
But what caused the bubble? 
Answering this question is important both for identifying the best short-term policies and for fixing the credit crisis, as well as for developing long-term policies aimed at preventing another crisis in the future. 
Some people blame the Federal Reserve for keeping interest rates low; some blame the Community Reinvestment Act for encouraging lenders to offer loans to marginal homebuyers; others blame Wall Street for failing to properly assess the risks of subprime mortgages. 
But all of these explanations apply equally nationwide, while a close look reveals that only some communities suffered from housing bubbles. 
Between 2000 and the bubble’s peak, inflation-adjusted housing prices in California and Florida more than doubled, and since the peak they have fallen by 20 to 30 percent. 
In contrast, housing prices in Georgia and Texas grew by only about 20 to 25 percent, and they haven’t significantly declined. 
In other words, California and Florida housing bubbled, but Georgia and Texas housing did not. 
This is hardly because people don’t want to live in Georgia and Texas: since 2000, Atlanta, Dallas–Ft. 
Worth, and Houston have been the nation’s fastest-growing urban areas, each growing by more than 120,000 people per year. 
This suggests that local factors, not national policies, were a necessary condition for the housing bubbles where they took place. 
The most important factor that distinguishes states like California and Florida from states like Georgia and Texas is the amount of regulation imposed on landowners and developers, and in particular a regulatory system known as growth management. 
In short, restrictive growth management was a necessary condition for the housing bubble. 
States that use some form of growth management should repeal laws that mandate or allow such planning, and other states and urban areas should avoid passing such laws or implementing such plans; otherwise, the next housing bubble could be even more devastating than this one. 
Randal O’Toole is a senior fellow with the Cato Institute and author of The Best-Laid Plans: How Government Planning Harms Your Quality of Life, Your Pocketbook, and Your Future. 
Confirmation Bias
30.2%
Anchoring Bias
10.1%
Availability Heuristic
16.9%
Representativeness Heuristic
9.8%
Hindsight Bias
0%
Overconfidence Bias
19.1%
Framing Effect
13.4%
Loss Aversion
12.3%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
16.9%
Negativity Bias
5.7%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
7.6%
Primacy Effect
4.1%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
7.9%
False Dilemma
0%
Slippery Slope
12.3%
Circular Reasoning
0%
Hasty Generalization
19.9%
Red Herring
0%
Bandwagon
4.1%
Appeal to Emotion
0%
Begging the Question
10.1%
Post Hoc (False Cause)
16.6%
Tu Quoque
0%
Burden of Proof
12.3%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
10.4%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
4.1%
Indoctrination
16.3%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
7.9%
Attempt to Sell a Product or Service
0%

367 words analyzed.

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.