Computational Economics
00 / Prerequisite

The model behind the computation

Start with demand, competition and entry. The course then connects these choices to an economy, its estimated parameters and its implementation.

The economic model used in this course is based on De Loecker, Eeckhout and Mongey (2026), Quantifying Market Power and Business Dynamism in the Macroeconomy.

These are my independent teaching notes. They rebuild the model in Python and estimate it on the paper’s data. The course uses its own parameter values, so its results can differ from the paper’s. The notes do not represent the views of the paper’s authors. All errors are my own.

Start with the components
One economy, connected choices

What must fit together?

A firm’s decision changes the environment for other firms.

Then return to the course

From components to computation.

Sources and attribution

References

The economic model and methods draw on the sources below. Chapter citations link to these entries; the prerequisite guides also link to supporting lectures.

  1. Main economic modelDe Loecker, Jan, Jan Eeckhout, and Simon Mongey. 2026. Quantifying Market Power and Business Dynamism in the Macroeconomy. Federal Reserve Bank of Minneapolis, Staff Report 688, September. Paper and version details ↗
  2. Atkeson, Andrew, and Ariel Burstein. 2008. “Pricing-to-Market, Trade Costs, and International Relative Prices.” American Economic Review 98 (5): 1998–2031.
  3. Berry, Steven T. 1992. “Estimation of a Model of Entry in the Airline Industry.” Econometrica 60 (4): 889–917.
  4. Hansen, Lars Peter. 1982. “Large Sample Properties of Generalized Method of Moments Estimators.” Econometrica 50 (4): 1029–1054.
  5. McFadden, Daniel. 1989. “A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration.” Econometrica 57 (5): 995–1026.
  6. Sobol’, I. M. 1967. “On the Distribution of Points in a Cube and the Approximate Evaluation of Integrals.” USSR Computational Mathematics and Mathematical Physics 7 (4): 86–112.
  7. Further reading on Sobol sequencesJoe, Stephen, and Frances Y. Kuo. 2008. “Constructing Sobol Sequences with Better Two-Dimensional Projections.” SIAM Journal on Scientific Computing 30 (5): 2635–2654.

About these teaching notes ↑