Mikkel Sølvsten

    Working Papers

• "Estimation in linear models with clustered data" with Anna Mikusheva and Baiyun Jing

  • Working paper (submitted for publication)

• "Conduct and Scale Economies: Evaluating Tariffs in the US Automobile Market" with Marco Duarte, Lorenzo Magnolfi, Dan Quint, and Christopher Sullivan

  • Working paper (revise and resubmit at American Economic Review)WkConduct and Scale Economies: Evaluating Tariffs in the US Automobile Market

    Publications

• Mikusheva, A., M. Sølvsten (2025). Linear Regression with Weak Exogeneity. Quantitative Economics.

  • Working paper, published paper, and replication package.

• Duarte, M., L. Magnolfi, M. Sølvsten, C. Sullivan (2024). Testing Firm Conduct. Quantitative Economics.

  • Working paper,  published paper, supplement, replication package, and available Python code on Github.

• Anatolyev, S., M. Sølvsten (2023). Testing Many Restrictions Under Heteroskedasticity. Journal of Econometrics.

  • Working paper, published paper, and available R code on GitHub

• Di Addario, S., P. Kline, R. Saggio, M. Sølvsten (2023).  It ain’t where you’re from, it’s where you’re at: hiring origins, firm heterogeneity, and wages. Journal of Econometrics.

  • NBER working paper, replication archive, published paper.

• Kline, P., R. Saggio, M. Sølvsten (2020). Leave‐out estimation of variance components. Econometrica.

  • NBER working paper, supplement, computational appendix/replication archive, published paper, and available MATLAB and Julia code on GitHub.

• Sølvsten, M. (2020). Robust Estimation with Many Instruments. Journal of Econometrics.

  •  Working paper, supplement, online appendix, and published paper.

• Hjort, J., M. Sølvsten, M. Wüst (2017). Universal investment in infants and long-run health: Evidence from Denmark’s 1937 home visiting program. American Economic Journal: Applied Economics. 

  • Working paper and published paper.

    Teaching

• Microeconometrics (4615)

• Econometrics (2648)

• Introduction to Data Science

• See my CV for previous teaching