Associate professor, Department of Business and Management Science, NHH Norwegian School of Economics
Research associate, Institute for Fiscal Studies
DPhil (PhD) and MPhil (master thesis here) in Economics, University of Oxford, Exeter College
Contact: oyvind.thomassen at gmail.com , oyvind.thomassen at nhh.no
Working papers
Local charger availability and electric vehicle adoption: evidence from Norway (supporting information), with Costanza Cincotta
Identification of differentiated products demand with micro moments: consumer panel data (supporting information), with Linqi Zhang
The rise of discounters and its impact on concentration, market power and welfare, with Martin O'Connell and Howard Smith
Work in progress
A model of beer retail pricing, with Martin O'Connell and Howard Smith
Published and accepted papers
A two sample size estimator for large data sets, forthcoming, Econometrics Journal. https://doi.org/10.1093/ectj/utaf002
M. O'Connell, H. Smith, and Ø. Thomassen
Evaluating Norway's electric vehicle incentives, Energy Economics, 146, May 2025. https://doi.org/10.1016/j.eneco.2025.108490
C. Cincotta and Ø. Thomassen
Electric vehicle ownership and political preferences in Norway. Transportation Research Part D, 139, February 2025. https://doi.org/10.1016/j.trd.2024.104518
C. Cincotta and Ø. Thomassen
An empirical model of automobile engine variant pricing. International Journal of the Economics of Business, 24(3) 275–293, September 2017.
Ø. Thomassen
IJEB Best Paper Award 2017.
Multi-category competition and market power: a model of supermarket pricing. American Economic Review, 107(8) 2308–2351, August 2017.
Ø. Thomassen, H. Smith, S. Seiler, and P. Schiraldi
pdf, appendix, code. Media: VoxEU, Stanford Business Insights, Dagens Næringsliv. Previously circulated as Smith and Thomassen (2015). Authorship issue.
The effects of tax exemption on the sale of electric vehicles in Norway. Korean Economic Journal, 56(1) 3–20, July 2017.
Ø. Thomassen
Asymmetric price increase in critical loss analysis: a reply to Langenfeld and Li. Journal of Competition Law and Economics, 10(3) 765–768, September 2014.
Ø. Daljord, L. Sørgard and Ø. Thomassen
A generalised nested logit model of the demand for automobile variants. Korean Economic Journal, 53(1) 21–50, July 2014.
Ø. Thomassen
A pure characteristics demand model for automobile variants. Seoul Journal of Economics, 27(2) 187–222, June 2014.
Ø. Thomassen
Multi-category demand and supermarket pricing. International Journal of Industrial Organization, 30(3) 309–314, May 2012.
H. Smith and Ø. Thomassen
The SSNIP test and market definition with the aggregate diversion ratio. Journal of Competition Law and Economics, 4(2) 263–270, June 2008.
Ø. Daljord, L. Sørgard and Ø. Thomassen
Lecture notes
Microeconomics (175 pages)
Mathematics for economics (115 pages)
Probability and statistics (163 pages)
Empirical IO - demand estimation
Empirical industrial organization: demand estimation (79 pages)
An earlier set of lecture notes for empirical IO that may be useful for the problem sets below.
Link to dropbox folder with Matlab exercises that teach Matlab, linear and nonlinear GMM, and estimating BLP with the actual data used in Berry, Levinsohn, and Pakes (1995). The logical order of the sections is as follows. Each subfolder contains a Matlab script file with explanations. Homework questions for the next session are typically given in comments at the end of the script file for each session. Please get in touch if something does not work.
FirstMatlabSession
SecondMatlabSession
ThirdMatlabSession
GMM_Homework 1
GMM_Homework 2
BLP_Homework 1
BLP_Homework 2
BLP_Homework 3
MultiCategory_Homework
Numerical methods: part I, part II, note on functions of several variables
Teaching
NHH
Corporate Governance Spring 2021 - 25 (Textbook: Tirole The Theory of Corporate Finance)
Econometrics Spring 2021 - 25, fall 2024
Seoul National University
Microeconomics (undergraduate) Spring 2020, Fall 2019 (Textbook: Nicholson and Snyder Microeconomic Theory)
Empirical industrial organization (graduate) Fall 2019, 2017, 2015, 2014 , 2013, 2012, 2011
Mathematics for economists (undergraduate) Spring 2019, Fall 2018, Fall 2017, Spring 2016, Spring 2015 (Textbooks: Ross Elementary Analysis, Simon and Blume Mathematics for Economists)
Further mathematics for economists (undergraduate) Fall 2018 (Textbook: Rudin Principles of Mathematical Analysis)
Numerical methods for economists (undergraduate) Spring 2018 (Textbook: Dennis and Schnabel Numerical Methods for Unconstrained Optimization and Nonlinear Equations)
Statistics (undergraduate) Fall 2015, Fall 2014 (Textbook: Hogg, Tanis and Zimmerman Probability and Statistical Inference)
Econometrics (undergraduate) Spring 2016, Spring 2015 (Textbook: Wooldridge Introductory Econometrics)
Principles of macroeconomics Spring 2012, 2013, 2014 (Textbook: Mankiw Principles of Macroeconomics)
Political economy Spring 2013, 2014