Earlier quoted context omitted.
To what degree does income inequality, consumer debt, and rapidly rising barriers of entry to high-income fields contribute slowing GDP growth? Is there research and evidence on the subject? I'm just an engineer with basic financial survival skills... but blind intuition suggests fixing those problems is necessary for a sustainable growing economy. "Trickle-down" theory and growing inequality drains economic activity…
I'm not saying you're wrong. I understand where you're coming from. You raise good points. I think we need to add to this list one simple idea: regulation. Housing costs are terrible. They're getting bad even in small towns like mine. There is no way that my house is worth 172k. For many, especially in California and states that followed their lead, housing cost are largely, not solely, due to regulation on new house…
There are some absolutely unnecessary regulations, like the loopholes Tesla has to go through to sell cars because traditional dealerships don't want to lose money, or unfair taxes against green energy - protectionism must die.
There are also outdated but reasonable regulations, like Seattle's density regulations. Our housing crisis is caused by the market lagging far behind economic growth because it took years for the public to recognize the city was growing, years to change the laws, and then more years for the normal construction timeline. Density regulations as a concept make sense, but we haven't figured out how to auto-scale limits to avoid falling behind.
And then there are areas where we do need more regulations. For example, we absolutely need more regulations on credit cards and loans in addition to better finance education in highschool. Consumers are responsible for being informed, but there's still no excuse for even offering to saddle someone with a high-interest loan that they can never hope to pay off... some people are simply too dumb to understand the math.
I like the phrase "evidence-based regulations", but sometimes the evidence is stale or measuring the wrong thing, and the data doesn't guarantee we implement the right system of incentives.