3733 Spruce Street, 300 Dinan Hall, Philadelphia, PA 19104
Research Interests: Environmental Economics, Industrial Organization, Public Economics
Links: Personal Website, CV
I am a 6th-year PhD candidate at Wharton and will be on the job market in the 2026/2027 academic year.
My research fields are environmental economics, industrial organization, and public finance. Topically, I focus on externalities in the transportation and housing/land use sectors.
I am advised by Arthur van Benthem, Susanna Berkouwer, Ben Lockwood, Leon Musolff, and Ulrich Doraszelski.
Before my PhD, I graduated with a BA in Economics and in Biology from Williams College and worked as a Research Analyst for Dean Karlan at Northwestern Kellogg’s Global Poverty Research Lab.
Peter Lugthart, Benjamin B. Lockwood, Arthur van Benthem (Working), Optimal Shared Micromobility Taxes with Distributional Concerns.
Abstract: Dockless, shared e-bikes and e-scooters are a rapidly-growing segment of the local transportation market despite being taxed at higher rates per mile of travel than many conventional transportation modes, including motor vehicles. This paper asks what the optimal tax rate for shared bikes and e-scooters would be when accounting for environmental externalities, internalities caused by biased beliefs about accident risk, and redistribution. We derive a sufficient-statistics model that describes how optimal tax rates depend on both extensive-margin (number of trips) and intensive-margin (duration of trips) demand responses to price changes, as well as the income of bike and e-scooter users, internalities, and net externalities relative to other travel modes. We estimate the parameters of this model using trip-level data from a large bike and e-scooter company, and find that in many U.S. cities, use of its vehicles is concentrated among low-income individuals. A nationwide dataset of emergency department admissions shows that e-scooter use generates substantial social costs in terms of healthcare expenditures and lost quality of life due to injury. The optimal tax weighs these costs against environmental benefits and redistributive concerns.
Peter Lugthart (Work In Progress), Energy efficiency disclosure in multifamily housing.
Abstract: Asymmetric information between home buyers and sellers may reduce owners’ incentives to invest in energy-conserving upgrades: when buyers cannot perfectly differentiate high- and low-efficiency buildings, sellers are unable to fully pass on the up-front cost of energy-related upgrades, and so face weaker incentives to make these upgrades. Local governments in many large U.S. cities have correspondingly passed legislation requiring public disclosure of energy use for large buildings. Do these laws improve energy efficiency, and if so, why? This paper first simulates a model of building owners’ dynamic decision about when and how much to invest in upgrading their building’s energy efficiency to show that steady-state building energy use is sensitive to information provision only when the extent of information provision about building efficiency affects the capitalization of energy efficiency in unit prices. I therefore investigate whether energy disclosure laws in New York City have affected unit prices, sale frequencies, and efficiency-related renovations in regulated multifamily buildings, using a regression discontinuity design. The effect of the policy on unit prices and sales is null and imprecise, which makes it difficult to conclude that the policy provided new information to buyers, but disclosure caused a 60% increase in boiler-related renovations in between 2016 and 2020.
Peter Lugthart (Working), The environmental costs and consumer benefits of competitive smog check markets [Job Market Paper].
Abstract: Regulators often delegate enforcement to third-party firms that sell compliance services. Competitive markets for these services can improve buyers’ choices but encourage sellers to help buyers evade regulations. I quantify this tradeoff in the Texas market for passenger vehicle emissions tests, using administrative data from 2002 – 2024 to detect more than 9 million (7%) falsified tests at thousands of firms. An entry event study shows that a 47% increase in nearby competitors raises incumbent cheating by 6.3%. Cheating drivers skip repairs that would prevent $27–$54 worth of annual air pollution per car. An equilibrium model evaluates welfare, capturing bribe setting by spatially-differentiated firms and consumers’ dynamic choices of repairs, cheating, and fair tests. A counterfactual monopolist eliminates cheating but wishes to close locations if it faces economies of scale. Fixing location density near the level regulators typically choose in monopoly markets lowers drivers’ utility by more than 100 times the social benefit of reduced pollution. Doubling firm-level cheating penalties in the status quo enforcement regime reduces cheating by 60.3% at much lower cost to drivers.
Environmental & Energy Economics and Policy (BEPP 2630/7630).
Introductory Economics for Business Students (BEPP 1000).
Managerial Economics (BEPP 2500).
Public Finance and Policy (BEPP 2010/7700).
This course will introduce you to "managerial economics" which is the application of microeconomic theory to managerial decision-making. Microeconomic theory is a remarkably useful body of ideas for understanding and analyzing the behavior of individuals and firms in a variety of economic settings. The goal of the course is for you to understand this body of theory well enough so that you can effectively analyze managerial (and other) problems in an economic framework. While this is a "tools" course, we will cover many real-world applications, particularly business applications, so that you can witness the usefulness of these tools and acquire the skills to use them yourself. We will depart from the usual microeconomic theory course by giving more emphasis to prescription: What should a manager do in order to achieve some objective? That course deliverable is to compare with description: Why do firms and consumers act the way they do? The latter will still be quite prominent in this course because only by understanding how other firms and customers behave can a manager determine what is beswt for him or her to do. Strategic interaction is explored both in product markets and auctions. Finally, the challenges created by asymmetric information - both in the market and within the firm - are investigated.
NSF Graduate Research Fellowships Program