Job Market Paper

Global games are incomplete information games where players receive private noisy signals about the true game played. In a sequential global game, the set of players is partitioned into subsets. Players within a subset (of the partition) play simultaneously but no two subsets move at the same time. The resulting sequence of stages introduces intricate dynamics not encountered in static global games. We show that a sequential global game with strategic complementarities and binary actions has at least one equilibrium in monotone strategies. When signals are sufficiently precise, the sequential global game has a unique equilibrium satisfying iterated dominance, forward induction, and backward induction, even if the complete information game (given the partition of the player set) has multiple equilibria. Several applications are discussed.


We compare the decrease in European energy demand and CO2 emissions during the financial crisis 2008-2009 with the COVID-19 expected drop in demandand emissions, and the price response of the EU Emission Trading System (EU ETS). We ask whether the rather limited current price reduction may be due tothe Market Stability Reserve (MSR), implemented in the EU ETS between thetwo crisis. Stylized facts and basic theory are complemented with simulations based on a model of the EU ETS. Together, they suggest a mixed result. The MSR stabilizes the EU ETS price in turbulent times, but less than perfectly. We show that the more persistent the COVID-19 shock is, the less the MSR is able to serve its purpose.
Environmental and Resource Economics, 2020

By manipulating EU ETS through the Buy, Bank, Burn program, unregulated emissions are compensated while a substantial part of the burden is levied on regulated sectors. This distorts the balance between regulated firms and non-regulated projects, allowing climate-conscious consumers to be virtuous at the cost of others.
Nature Climate Change, 2019

Working papers

We develop a dynamic regulation game for a stock externality under asymmetric information and future market uncertainty. Within this framework, regulation is characterized as the implementation of a welfare-maximization program conditional on informational constraints. We identify the most general executable such programs and find these yield simple and intuitive policy rules. We apply our theory to carbon dioxide emissions trading schemes and find substantial welfare gains are possible, compared to current practices.
Submitted, 2020

The Market Stability Reserve (MSR), implemented in 2018 to complement the EU emission trading system (EU ETS), is designed such that the supply of allowances responds endogenously to demand. We show that an endogenous cap such as the MSR produces a Green Paradox. Abatement policies announced early but realized in the future are counter-effective because of the MSR: they increase cumulative emissions. We present the mechanisms in a two-period model, and then provide quantitative evidence of our result for an annual model disciplined on the price rise in the EU ETS that followed the introduction of the MSR. Our results point to the need for better coordination between different policies, such as the European Green Deal. We conclude with suggestions to improve the workings of an endogenous cap, ahead of the MSR review scheduled for 2021.
R&R at Economic Policy, 2020

We study disease control in a game of imperfect information. While disease control games of perfect information tend to have multiple equilibria, we show that even a small amount of uncertainty leads to equilibrium uniqueness. In equilibrium, an epidemic may occur even though it is inefficient and could have been avoided. Moreover, less harmful diseases may cause more deaths. We extend the game to study cooperation and let a subset of players commit to control the disease whenever the expected benefit of doing so is sufficiently high. The equilibrium is again unique. Selection of a more favorable equilibrium is facilitated by this type of cooperation.

The question in which we are interested is how a market inhabited by multiple agents, about whom we are differentially uncertain, and who trade goods the use of which imposes a negative effect on others, is to be ideally regulated. We show that a priori asymmetric uncertainty, when combined with a posteriori observed outcomes, is a rich source of information that can be used to reduce aggregate uncertainty. The observation implies that whereas asymmetric information usually entails a cost on welfare, it can help achieve greater efficiency in regulation.


A full version of my CV is available here.


Economics Statistische Berichten, 2019

Book chapter, Routledge, 2019

EAERE Magazine, 2018

In Dutch. Report written on request of the Dutch Ministry of Agriculture, Nature and Food Quality regarding the question how – i.e. using which mechanism – the rights to build windmill parks on the North Sea are best allocated.
Government report, 2018


  • TA Grondslagen Macro-economie (Undergraduate, 2016 - 2020)
  • TA Macroeconomics for EOR (Undergraduate, 2017 - 2018)
  • TA Economics for Social Sciences (Undergraduate, 2018 - 2019)
  • TA Microeconomics 2, Game Theory (Research Master, 2019 - 2020)
  • TA Environmental Economics (Undergraduate, 2020)
  • BSc thesis supervision (2018-2020)
  • MSc thesis supervision (2017 - 2018)