I am an Assistant Professor of Economics at IESE Business School.

My research focuses on Microeconomic Theory, Industrial Organization, and Organizational Economics.

You can reach me at eide@iese.edu

I am an Assistant Professor of Economics at IESE Business School.

My research focuses on Microeconomic Theory, Industrial Organization, and Organizational Economics.

You can reach me at eide@iese.edu

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Research

Published work

Discounts as a Barrier to Entry

with Juan-Pablo Montero and Nicolás Figueroa
American Economic Review, Vol. 106, No. 7, July 2016, pp. 1849-1877

To what extent can an incumbent manufacturer use discount contracts to foreclose efficient entry? We show that off-list-price rebates that do not commit buyers to unconditional transfers--like the rebates in EU Commission v. Michelin II, for instance--cannot be anticompetitive. This is true even in the presence of cost uncertainty, scale economies, or intense downstream competition, all three market settings where exclusion has been shown to emerge with exclusive dealing contracts. The difference stems from the fact that, unlike exclusive dealing provisions, rebates do not contractually commit retailers to exclusivity when signing the contract.

Monopolization with Must-Haves

with Juan-Pablo Montero
American Economic Journal: Microeconomics, Forthcoming

An increasing number of monopolization cases have been constructed around the notion of “must-have” items: products that distributors must carry to “compete effectively.” Motivated by these cases, we consider a multiproduct setting where upstream suppliers sell their products through competing distributors offering one stop-shopping convenience to consumers. We show the emergence of products that distributors cannot afford not to carry if their rivals do. A supplier of such products can exploit this must-have property, along with tying and exclusivity provisions, to monopolize adjacent, otherwise competitive markets. Policy interventions that ban tying or exclusivity provisions may prove ineffective or even backfire.

Dual Moral Hazard and the Tyranny of Success

American Economic Journal: Microeconomics, Forthcoming

I explain why current success can undermine an organization's ability to innovate. I consider a standard bandit problem between a safe and a risky arm with two modifications. First, a principal allocates resources. Second, an agent must install the risky arm, which is not contractible. If the principal cannot commit to a resource policy, a dual moral hazard problem emerges: The agent's pay must be tied to the risky arm's success to encourage installation, inducing the principal to stop experimenting with the arm prematurely. This problem intensifies as the safe arm becomes more profitable, potentially leaving the organization worse off.

Working papers

Artificial Intelligence in the Knowledge Economy

with Eduard Talamàs. Last update: February 2024

How does Artificial Intelligence (AI) affect the organization of work? We incorporate AI into an economy where humans endogenously sort into hierarchical firms: Less knowledgeable agents become “workers” (i.e., execute routine tasks), while more knowledgeable agents become “managers” (i.e., specialize in problem-solving). When AI’s knowledge is that of a pre-AI worker, the introduction of AI (i) displaces humans from routine to managerial work, (ii) decreases the size of the largest and smallest firms, (iii) decreases the productivity of the least productive firms, (iv) increases the size of the firms managed by all but the best non-displaced managers, and (v) decreases the productivity of all non-displaced workers, as it worsens the quality of their managers. The first three results are reversed when AI has the knowledge of a pre-AI manager, but not the last two: In that case, all non-displaced managers supervise larger firms, and the productivity of all but the least knowledgeable non-displaced workers decreases after AI’s introduction. AI creates winners and losers, and the winners are always at the extremes of the knowledge distribution. Only the most knowledgeable humans win when AI’s knowledge is low. In contrast, only the least knowledgeable humans benefit when AI’s knowledge and communication costs are high. By explicitly incorporating the endogenous organization of knowledge, our results provide new insights into the effects of AI on the future of work.

Cross-Market Mergers with Common Customers:
When (and Why) Do They Increase Negotiated Prices?

Last update:  February 2024

I examine the implications of cross-market mergers of suppliers to intermediaries that bundle products for consumers. These mergers are controversial. Some argue that suppliers’ products will be substitutes for intermediaries, despite not being substitutes for consumers. Others contend that because bundling makes products complements for consumers, products must be complements for intermediaries. I contribute to this debate by showing that two products can be complements for consumers but substitutes for intermediaries when the products serve a similar role in attracting consumers to purchase the bundle. This result leads to new recommendations and helps explain why cross-market hospital mergers raise prices.

Teaching

IESE Business School

2020 -          

Global Economics (Core MBA)

Microeconomics (Master of Research in Management)

Stanford University

2016 - 2019

Graduate School of Business, Teaching Assistant

Managerial Economics Accelerated - Prof. Nicolas Lambert (x2)

Managerial Economics - Prof. Andrzej Skrzypacz (x2)

Managerial Economics - Prof. Paul Oyer

Pontificia Universidad Católica de Chile

2013 - 2014

Instituto de Economía, Lecturer

Introduction to Macroeconomics (Undergraduate)