I am a PhD Candidate in Economics at the California Institute of Technology.
You can find my contact information and much more in my CV.
I'm interested in a range of theoretical and applied problems in
mechanism/market design,
education,
environmental economics
and microeconomics in general.
You might want to check out
my research
or my teaching resources and links.
Research
- Monitoring Costs and the Management of Common-Pool-Resources (Job Market Paper)
- Abstract. We lay down a simple model of a fishery and analyze outcomes of a
program of individual tradable quotas (ITQs) when quota
monitoring/enforcement is costly and imperfect. In this setting, the key
question of how much to spend on enforcement should not be dissociated from
other design decisions --- like the choice of the total amount of quota
available, or its initial distribution among the fishermen. We model the
problem of a regulator trying to maximize the industry profits as a
moral-hazard problem and show that for ITQ outcomes to be ``optimal'' and
incentive compatible for a given monitoring expenditure, it is sufficient and
generically necessary that violation fines depend only on the absolute
violations as opposed to, for example, depending on violations as a
proportion of quota in hand. We also take a first step at understanding
collective preferences over monitoring levels by establishing sufficient
conditions for the identification of the types of fishermen that would oppose
a small increase in monitoring expenditure. We highlight that while the
distribution of quota endowments does not affect the attained ITQ
equilibrium, it may affect fishermen's preferences over monitoring, thereby
potentially changing the set of fishermen that oppose higher enforcement,
with or without quota trading. To support these two results, we provide a
novel and extensive analysis of ITQ equilibria under costly and imperfect
monitoring, allowing for a wide class of enforcement technologies.
PDF.
- Combinatorial Assignment Under Dichotomous Preferences (Working Paper)
- Abstract. We consider the problem of assigning shares of a imperfectly
divisible resource when preferences are dichotomous. One such problem is
the problem of assigning bundles from a finite set of indivisible objects
to a finite set of agents. When preferences are dichotomous, mech- anisms
that satisfy voluntary participation only require agents to report a set of
acceptable bundles/shares. We characterize strategyproof mechanisms for
such problems and provide a mechanism that is utilitarian-efficient,
strategyproof and envy-free, thereby showing that impossibilities like the
ones pointed out by Kojima (2009) can be circumvented if we assume
dichotomous preferences. We also show that, unlike in the assignment
problem with dichoto- mous preferences of Bogomolnaia and Moulin (2004),
the existence of a Lorenz-dominant assignment is not guaranteed. We analyze
real-world difficulties involved in using efficient mechanisms, both from a
computational and a strategic point of view. In particular, we show that
utilitarian-efficient mechanisms require computations that can have running
times that are exponentially long in the number of agents, but we point out
that some classes of problems can be solved faster. We also show that
agents with general preferences facing a mechanism that is strategyproof
and efficient in the dichotomous domain might have an incentive to mis-
report their acceptable shares/bundles, and in that case, the only
profitable deviation is to report a smaller set of acceptable
shares/bundles. PDF.
Vessel Buyback Auctions (with John O. Ledyard, in progress)
Voting with Common Values in Committees (with Matias Iaryczower and Matt Shum, in progress)
Teaching
I have taught the Mathcamp at the Division of the Humanities and Social
Sciences at Caltech. The course reviews some of the he most useful mathematical
tools for the first-year PhD students at the division. Check the Syllabus, some code for computational sessions in the lab, and, most
important, the problem set.
As the TA for an undergraduate course in Power Systems at Caltech,
I wrote some quick notes
on the basics of convex optimization and Karush-Kuhn-Tucker conditions.
They are not very polished,
but they are a good complement to more rigorous texts
(mentioned in the final section),
providing intuition and some useful hints.
I have worked as a volunteer tutor for School On Wheels, an NGO that provides one-one-one tutoring assistance for homeless children. If you believe that
education is the way to provide opportunity to everyone, check them out! You
can help in many ways: tutoring and donating are just two out of many options.
For example, besides my tutoring activity, I also participated on a workshop
where we discussed different issues in the education of homeless children. I
talked about how to enrich the solution of math problems with an inquisitive
trial-and-error approach. Here are the slides of the talk. And if you are teaching
multiplication, it doesn't hurt to use a pretty multiplication table.
I am always happy to discuss ideas for improving education at all levels. A
sample of topics on education that have recently caught my attention are:
evaluation methods that give good feedback to our students and encourage
learning; ways of using measurements, experiments and computation to aid middle
and high-school students' understanding of mathematical concepts; and a
curriculum for economics majors in college.