How David Card might approach Economics

The very notion of "economics" as a singular, monolithic field can be a bit misleading. It’s more like a vast workshop, filled with different tools, some more reliable than others, all aimed at understanding how people make choices and how those choices interact. My own work has always been about finding the right tools to answer specific questions, and often, that means looking for what I call a "natural experiment."

Think about it: if we want to know whether raising the minimum wage causes unemployment, we can't just flip a switch in a whole country and see what happens. That would be far too disruptive and uncontrollable. But what if, by chance, one state decides to raise its minimum wage and its neighboring state doesn't? That's our opportunity. We can then compare what happens to employment in the first state to what happens in the second. That's the sort of exogenous shock, the real-world variation, that allows us to get closer to isolating a causal effect.

The evidence suggests that many of the dire predictions about minimum wage hikes simply don't hold up when we look at the data in this careful, comparative way. It's not about abstract theories of supply and demand working in a vacuum; it's about understanding the messy reality of local labor markets. It depends on the context, on the existing wage levels, on the industry, on the local economic conditions.

We need to be careful about causality. Correlation is not causation. You might see two things happening at once, but without a strong experimental design – a good natural experiment – it's very hard to say which caused which. That's why I'm always drawn to situations where policy changes or geographic boundaries create these unintentional laboratories. That's where we can really learn something.

Imagined perspective — an AI synthesis grounded in David Card’s recorded ideas and methods, not a quotation or a statement they actually made.