Dmitry Sedov

Economist • Data Enthusiast • Coder

I am a PhD Candidate in Economics
at Northwestern University
looking for a job in 2020-2021!
Here is my official Job Market Website.


I do research, work with exciting data and code for fun.

In my work I use large-scale geospatial datasets, quantitative economic models and causal inference tools to analyze firm location decisions and consumer behavior in spatial markets. Every now and then I also work on economic theory.

Previously, I have worked at Yandex in the Division of Economic Research and at CRA in the Antitrust and Competition Practice. I love coding, working with data and learning new skills to solve problems.

When there is free time, I enjoy doing sports, learning languages and exploring visual art. I used to visit my friends all over the world when travelling was a thing.

How Efficient Are Firm Location Configurations? Empirical Evidence from the Food Service Industry (Job Market Paper)

I study the welfare losses due to inefficient firm location configurations in the food service industry. Compared to the existing literature, my paper benefits from detailed data on roughly 400,000 US urban restaurants. I obtain restaurant locations and foot traffic from Safegraph, collect their characteristics from Yelp and scrape local commercial real estate rental rates from major listing aggregators. Exploiting the assembled dataset, I estimate a structural model of consumer demand, firm entry and capacity optimization. I then develop an algorithmic approximation approach to analyzing the efficiency of firm location configurations and explore the welfare gains available through the spatial reconfiguration of firms. In the median market, reconfiguration can lead to an 8.51% increase in total industry profits with a simultaneous 7.73% improvement in the consumer welfare metric. Next, I find suggestive evidence that firms' incentives to spatially differentiate play an important role in shaping inefficient location configurations. Finally, I estimate that the fixed costs spent on redundant entry amount to more than $7 billion.

Do Local Businesses Benefit from Stadiums? The Case of Major Professional Sports Leagues Arenas (with T. Abbiasov)

Stadiums cost hundreds of millions of dollars to build and are often subsidized by public sources. Subsidies are allocated on the premise that stadiums can improve the local economy by generating spending at nearby businesses. We estimate such local spillover effects using data on the stadiums of major US sports leagues' teams. Then, we use the resulting estimates to compare the allocated subsidies with the benefits stadiums generate for the local economy.

Almost-Truthful Mediation Enables Information Exchange between Agents with Opposing Interests

Information necessary for decision-making is often distributed among agents with opposing interests. Receiving information is desirable for the agents, while revealing it may be privately harmful. In this paper I design a class of almost-truthful mediation protocols that incentivize information exchange in a succinct model capturing such conflicts.