The Economics of Intangible Capital and Structural Estimation
This year's seminar will cover two topics.
Intangible Capital is the focus of a vibrant and growing literature in accounting, finance and economics. We will consider a wide swath of recent research examining the economics of intangible capital and the empirical challenges facing researchers in this area. We will consider a range of empirical designs examining fundamental constructs such as organizational capital, innovation capital, brand value, managerial capital and human capital.
Structural estimation is the focus of growing interest in accounting and will certainly continue to be for some time to come. This is a rigorous research approach that combines theory, data and sophisticated econometrics into a single framework. While mastering the art of structural estimation is beyond the scope of the course, my objective is to lay a foundation for understanding what it is and to explore some examples of how it is being used in accounting. In this regard, we will consider classic disclosure theory and how it is being implemented in a structural estimation framework.
I expect you to come to class prepared to participate in class discussions having carefully read and thought about the assigned papers. All students will be expected to present one or two papers. Papers marked in green are available for student presentations. A typical presentation will run 20-30 minutes, depending on the level of discussion. Here are some to questions consider in preparing your presentation (and non-presenters in preparing for class discussions):
What is the research question and why is it important?
What is the theoretical framework, if any, that is used to motivate the research question and hypotheses?
What are the main concerns, limitations, and weaknesses? How does the paper’s empirical methods attempt to mitigate these?
How well is the research design tied to the research question? How accurately do the empirical proxies capture the underlying economic constructs of interest? To what extent is the research design capable of distinguishing between alternative hypotheses?
What are the main results? How do the authors interpret them? How do you interpret them?
While I don't want you to over-invest in preparing slides, the ability to powerfully organize a set of ideas in PowerPoint form will be crucial to your long run success. You should also use these presentations to develop your presentation skills and to begin discovering your natural presentation style. It is your life, so I will leave it up to you to decide how aggressively to pursue foundational knowledge. The final exam for this course is your thesis paper, your long run research impact and your academic career.
Session Details
Optional Reading
Session 1 Wednesday 10/29/25 12pm to 3pm
Manager fixed effects & Implications of Intangible Capital Mismeasurement (Bushman's slides: Loan Officers; Star Firms)
Papers for Class Discussion
C. Edward Fee, Charles J. Hadlock, Joshua R. Pierce, 2013. Managers with and without Style: Evidence Using Exogenous Variation. The Review of Financial Studies, Vol. 26, 3. Useful to read this paper in conjunction with Bertrand and Schoar.
Bushman, Robert M. and Gao, Janet and Martin, Xiumin and Pacelli, Joseph, 2021. The Influence of Loan Officers on Loan Contract Design and Performance. JAE, SSRN: https://ssrn.com/abstract=3433063
Related Literature
Session 2 Wednesday 11/05/25 12pm to 3pm
Estimating intangibles using accounting data
Papers for Class Discussion (PowerPoint Slides)
Related Literature
Li, Wendy and Hall, Bronwyn H. 2020. Depreciation of Business R&D Capital. Rev. Income Wealth 66(1):161–180.
Session 3 Wednesday 11/12/25 12pm to 3pm
Economic Implications of Intangible Capital (Bushman's slides: Kepler et al.)
Papers for Class Discussion (PowerPoint Slides)
Related Literature
Session 4 Wednesday 11/19/25 12pm to 3pm
Data as an Intangible Asset & Organizational Capital (Bushman's slides: Veldkamp; Eisfeldt; Minority lending; Managerial capital)
Background Reading
Papers for class discussion
Veldkamp, Laura, 2023 Valuing Data as an Asset. Review of Finance vol. 27 , no. 5: 1545-1562 (An accessible overview of the economics of data valuation)
I will do short renditions of two of my papers on organizational capital:
Cai, Wei and Prat, Andrea and Yu, Jiehang, 2025. Measuring Organizational Capital.
Related Literature
Organizational Capital
Andrea Prat & Wouter Dessein, 2022. Organizational Capital, Corporate Leadership, and Firm Dynamics. Journal of Political Economy
Bloom and John Van Reenen, 2007. Measuring and Explaining Management Practices Across Firms and Countries. The Quarterly Journal of Economics, Volume 122, Issue 4
Demerjian, Peter R. and Lev, Baruch Itamar and McVay, Sarah E., 2012. Quantifying Managerial Ability: A New Measure and Validity Tests.
Edmans, Alex, 2011. Does the Stock Market Fully Value Intangibles? Employee Satisfaction and Equity Prices. Journal of Financial Economics 101(3), 621-640.
Demerjian, P. R., B. Lev, M. F. Lewis, and S. E. McVay. 2013. Managerial ability and earnings quality. The Accounting Review 88 (2): 463–98.
Data as an Intangible Asset
Gao, Xingchao and Liu, Junhao and Lu, Hai, 2025. Accounting for Data Assets.
Bian, Bo and Huang, Qiushi and Li, Ye and Tang, Huan, 2024. Data as a Networked Asset. WP
Session 5 Wednesday 12/3/25 12pm to 3pm
Pivot to Structural Estimation: From model to data
Background reading
Bertomeu, Jeremy and Liang, Ying and Marinovic, Ivan, A Primer on Structural Estimation in Accounting Research (January 24, 2023). Read the introduction.
Papers for Class Discussion
Gigler, Kanodia, Sapra and Venugopalan. 2009. “Accounting Conservatism and the Efficiency of Debt Contracts.” Journal of Accounting Research. (Read only to page 776, the discussion on Type-1 and Type-2 errors)
Session 6 Wednesday 12/10/25 12pm to 3pm
Disclosure Models and Structural Estimation
Background reading
Bertomeu, Jeremy and Liang, Ying and Marinovic, Ivan, A Primer on Structural Estimation in Accounting Research (January 24, 2023). Read Section 2, A Simplified Approach to Structural Estimation.
Papers for Class Discussion
Related Literature
Bertomeu, Jeremy, Statistical versus Economic Significance in Accounting: A Reality Check, 2023.
Andrews, Gentzkow and Shapiro (2020) “Transparency in Structural Research". Journal of Business & Economic Statistics, 38:4, 711-722
Andrews, Gentzkow and Shapiro (2020) “On the Informativeness of Descriptive Statistics for Structural Estimates”. Econometrica, Vol. 88, No. 6 (November, 2020), 2231–2258
Session 7 Wednesday 12/17/25 12pm to 3pm
Applications of Structural Estimation
Background reading
Bertomeu, Jeremy and Liang, Ying and Marinovic, Ivan, A Primer on Structural Estimation in Accounting Research (January 24, 2023). Read Section 3, Econometric Methods in Structural Estimation.
Papers for Class Discussion.
Related Literature
How uncertain is the market about managers' reporting objectives? Evidence from structural estimation, J. Bertomeu, E. Cheynel, E. Li and Y. Liang