Earlier quoted context omitted.
Economists do plenty of experiments. As for Econometrics, I agree that studies employing observational causal inference in statistics are much harder (and harder to swallow) than experiments. Usually. But perhaps, if you dig a bit deeper and ask yourself things like: "what makes a hypothesis falsifyable" or, "could there be a hypothesis falsifyable by observational data?". Have your ever written down the exact exclus…
I understand the argument and I accept the idea of natural experiments in principle. The most difficult thing with all of these is the ceteris paribus (holding all else constant), or as a second best, correcting for known confounding factors. This is in such stark contrast to a lab setting, where an adversarial scientist can regard a hypothesis as wrong and construct an experiment to prove it so, only to find out tha…
As far as economic reasoning goes, there are some studies you can do (like optimal auction clearing) where you can hold the inputs equal and then adjust some aspects of the optimization (the objective, constraints, or decision variables) and get a very accurate picture of how market changes would impact the results. I think that is probably an exception rather than the normal case though.
In general, my thoughts during my studies has been that the economic theories of supply & demand, incentives, elasticity, theory of the firm, game theory, government intervention...etc all has more use as a generic framework of thinking (ex: if we put in a price cap, here are the expected impacts), rather than an equation I can use to get an exact answer (basically exactly what you're saying above). Doing some kind of analysis on things as complex as the US economy must have massive inaccuracies involved as there are too many factors and even behavioral economics doesn't have all the answers for why people don't always act rationally.