Fear is in the air. Central bankers are warning of crisis, stock markets are falling, and even the media is realizing that the economy may not be as stable as our central planners would have us believe. Of course, while mainstream economists fear the falling prices that are on the horizon in our post-boom world, Austrians know that deflation and recessions are both inevitable and necessary when the economy is based on debt and fiat money.
Dr. Mark Thornton joined Jeff Deist on Mises Weekends to dive deeper on the current economic headlines. Why don’t central bankers understand deflation? A they really Keynesians or some variant thereof? What might a “crack-up boom” look like? And what does the Skyscraper Index tell us about the future of the global economy?
This is an episode you won’t want to miss.
And in case you missed any of them, here are this week’s featured Mises Daily articles and some of our most popular articles at Mises Wire:
- Un-PC Lego Making Toys Girls Like by Ryan McMaken
- In a Post-Boom World, Auto Prices Will Fall by Patrick Barron
- Why We Need a Recession by Ronald-Peter Stöferle
- Three Centuries of Boom-Bust in Spain by Daniel Fernández-Renau Atienza and David Howden
- Mises in Four Easy Pieces by Dan Sanchez
- Borderland Homicides Show Mexico’s Gun Control Has Failed by Ryan McMaken
- Ron Paul’s Pillars of Prosperity in Chinese
- Texas Adopts New York Values on Fantasy Football by Tho Bishop
- Pennies And Nickels: More Expensive To Mint Than To Use by Paul-Martin Foss
- “Stocks Are Not Overvalued”: Supply Siders Drop the (Crystal) Ball Again by Joseph Salerno
- Media Catches Up to Economic Reality by Tho Bishop
- Barron‘s Is Talking Skyscraper Curse by Mark Thornton
- 1916 and the Health of the State by T. Hunt Tooley
- Per Bylund on the Sharing Economy in Entrepreneur
- Three Reasons Oil Prices Can Still Go Lower by Troy Vincent
- Central Banker Warns of Coming Financial Collapse by Joseph Salerno
- Bernie Sanders Says We Should be Spending Less on Health Care by Ryan McMaken
- Repent and Believe in the Data! by Jonathan Newman
