Economics Today: More Math, Less Talk

In recent times, economics has morphed into a field that doesn't shy away from borrowing methodologies from its neighboring disciplines. Today's economic research often resembles sociology, psychology, or even computer science more than traditional economics. Why? Because if the research is rigorous enough, it finds a home in top journals regardless of its disciplinary roots.

The New Economics

Take for instance a recent paper examining confidence gaps between men and women, published in the prestigious American Economic Review. The lines between economics and other social sciences have blurred to the point where few in the profession even bother to argue about it. If the data's solid, the economists say, publish it.

Then there's Steve Levitt of Freakonomics fame, who has made a career out of examining topics like baby names and Sumo wrestling corruption. It's not the subject matter that defines modern economics, it's the rigor behind it. This shift reveals a lot about what's happening economics today.

Math and Science Over Tradition

What truly differentiates economics now is a mix of demanding standards, mathematical prowess, and intellectual intensity. This isn't old-school marginalism, but a new empirical economics where the rules are set by data and analytics. It's no surprise, then, that advisors now often recommend students interested in economics to major in mathematics or computer science first.

most still start with undergraduate economics, driven by their initial interest in the field. However, the prevailing wisdom is clear: if you want to excel in graduate school, you'd better be ready to dive into heavy math and programming. The economics can be learned along the way, or perhaps even sidelined for certain topics. Just how complex are those economic principles, really?

AI's Role in Future Economics

As artificial intelligence advances, this trend will only accelerate. With AI capable of processing vast datasets and finding patterns humans might miss, the reliance on data and mathematical models will increase. In a world where AI plays a significant role, does the traditional economist become obsolete?

What they're not telling you: The future of economics won't just be about market models or GDP forecasts. It'll be about using all tools at our disposal, AI included, to answer the questions that matter. This shift requires a new breed of economists, armed with skills beyond what was traditionally expected.