Economics Checklist

Why The Economics Checklist Exists

It started as something small. A set of steps that economics students and junior analysts kept recreating in their heads each time they sat down to tackle a problem set, a case study, or a policy memo. Over time, those steps got written down, shared around, and eventually compiled into what people now call the Economics Checklist. It is not a textbook. It is not a software package. It is a structured sequence of prompts designed to keep you from skipping the parts of economic analysis that are easy to forget under pressure. Most people treat it like a form to fill out before handing in homework. That is wrong. The right way is to use it as a decision tree at each stage of your analysis, not at the end. Here is what that looks like in practice: Step one: define the scope and the question. Before you touch any data or formula, write down exactly what you are trying to answer. Is it a positive question or a normative one? Does it require comparative statics, game-theoretic reasoning, or an equilibrium analysis? The checklist forces you to pick the framework first. Most mistakes happen when people start deriving demand curves and only later realize their question was fundamentally about externalities.

Step two: identify the agents and their incentives. Who is making decisions here? Households, firms, governments, foreign actors? What are they optimizing? The checklist has a section specifically for mapping out utility functions or profit objectives. If you cannot state the objective function in one sentence, you have not done this step yet. Step three: list the constraints. Budget constraints, resource limits, regulatory boundaries, information asymmetries. Constraints are where models break in the real world. I once spent three days debugging a production function for a microeconomics assignment because I had listed the technology constraint but completely forgot the non-negativity constraint on inputs. The optimizer returned a corner solution that made no sense until I added that single restriction. The checklist catches things like this because it asks for every constraint explicitly. Step four: choose the equilibrium concept. Nash, subgame perfect, rational expectations, Walrasian. The checklist makes you select one and justify it. Skipping this leads to applying the wrong solution method, which is the single most common error I see in undergraduate work.

Step five: derive and test. Solve the model. Then test it against the checklist's sanity conditions: does the result satisfy monotonicity? Does it respect the boundary conditions? Does it collapse to known results in the limiting case? If any of those fail, you have an error somewhere. Step six: interpret and qualify. This is where most people stop too early. The checklist requires you to write down the assumptions that make your result valid and the scenarios where it would not hold. Ceteris paribus is not an excuse to ignore everything else. A typical run-through takes about twenty minutes for a standard problem. For a more complex policy analysis, plan for forty-five minutes to an hour. The checklist does not speed up the thinking. It speeds up the checking.

The Economics Checklist In Real Situations

Here is an edge case that will probably not be in any tutorial. You are analyzing a market with network externalities using the checklist. Everything seems fine until you reach the constraints section and realize the demand function itself depends on the number of adopters, which depends on the price, which depends on your equilibrium calculation. The checklist's standard constraint-listing step assumes fixed preferences. In network externality models, preferences are endogenous. The workaround I use is to add a supplementary loop to the checklist at the constraint identification stage. You flag any variable that appears on both the left and right side of an equation. When you catch that early, you know immediately that you are dealing with a fixed-point problem rather than a straightforward optimization. Without that flag, you waste time trying to apply standard comparative statics to a system that requires iterative methods. I have seen people try to take derivatives through a circular demand specification and end up with results that were mathematically consistent but economically meaningless. Another common pitfall: the checklist assumes you are working with complete information unless told otherwise. In my own experience with information economics problems, I once applied a standard symmetric-information equilibrium check to an adverse selection model and got a separating equilibrium that could not exist. The checklist did not catch this because the information structure step came too late in the sequence. I now move the information structure identification to step zero, before even writing down the question. It saves time.

What The Economics Checklist Does Not Do Well

It is not designed for empirical work. If you are doing regression analysis, causal inference, or working with messy real-world data, this checklist will not help you. It is built for theoretical and applied modeling problems where the structure can be specified before the solution is attempted. Using it for econometrics is like using a screwdriver to cut wood. It will not break the tool, but you will not get a clean result either. It also assumes a neoclassical baseline. If you are working in behavioral economics, complexity economics, or post-Keynesian frameworks, the checklist's standard sequence may not map cleanly onto your methods. The incentive identification step, for example, assumes rational agents with stable preferences. Behavioral models explicitly reject that. You can adapt the checklist by replacing the relevant sections, but off the shelf it is not built for that. There is also a dimensionality problem. The checklist works well for two or three agent types and a handful of constraints. Once you move into models with heterogeneous agents, multiple goods, and dynamic elements, the checklist becomes harder to fill out without turning into a thirty-page document. I have found that beyond a certain complexity threshold, it is more efficient to switch to a structured notebook approach where you track each modeling decision separately rather than trying to force it through the checklist format.

Getting The Checklist

The Economics Checklist is available as a free downloadable template. It comes in PDF and editable text formats. The PDF version is useful for printing and working by hand. The text version lets you customize it for specific course requirements or research topics. I recommend starting with the text version and adapting it rather than using the PDF as-is. Every model is slightly different, and the value comes from tailoring the prompts to your particular problem. If you are looking for something more structured for empirical work, pair it with a separate data audit checklist. The two serve different purposes and combining them into one document usually creates a bloated tool that neither job well.

Bottom Line

The Economics Checklist is a reminder system dressed up as a procedure. It will not teach you economics. It will not replace understanding. But it will reliably catch the same five or six mistakes that repeat across every problem set, every exam, and every draft paper. For that reason alone it earns its place on the desk. Just do not expect it to handle situations it was never designed for. Know its limits, adapt it when necessary, and use it where it fits. That is how I use it, and it has saved me more time than I expected it would.