Award-Winning Economics Tutors
serving New Haven, CT

A PhD candidate in economics at Yale with undergraduate degrees in physics and math from the same institution, Anthony brings serious quantitative firepower to the subject — the kind that matters when courses pivot from intuitive ideas about markets into optimization problems, game theory, or econometric proofs. He also teaches AP Micro, AP Macro, and econometrics, so he can connect introductory concepts to the formal models students will encounter as the material deepens. Rated 5.0 by his students.

Environmental Science and Public Policy intersects constantly with economics — cost-benefit analysis, externalities, market failures, trade policy. Ethan brings that applied perspective to economics tutoring, connecting abstract models like supply-and-demand curves or GDP accounting to tangible policy questions students can reason through. His strong quantitative background (36 ACT, AP Statistics and Calculus) means the math side of econ never becomes a bottleneck.

As an economics major at Yale, Max doesn't just recite supply-and-demand curves — he digs into the intuition behind models like IS-LM, Nash equilibria, and consumer optimization so students understand the reasoning driving each result. That depth makes problem sets and exams far more manageable. Rated 5.0 by students.

Supply-and-demand graphs are just the starting point. Patrick digs into the reasoning behind shifts — why a price ceiling creates a shortage, how elasticity determines tax incidence, what happens to GDP when monetary policy tightens — connecting each model to real-world business decisions. His MBA training keeps the discussion grounded in how these concepts play out in actual markets.

I am a Duke University graduate in Economics and Computer Science. I am currently pursuing an MBA degree at the Yale School of Management. I have worked in the financial field, both at a management consulting firm and a fortune 500 company. My hobbies include playing and coaching soccer.

I am a freshman at Yale University. I am majoring in computer science, and my other interests include economics and history. I have experience tutoring in an Algebra 1 classroom. I edited essays and tutored students in general subject in my high school's Literacy Resource Center. I also have privately tutored calculus. In college, I am a teaching assistant for a program that teaches middle and high school girls to code.

With an economics degree and a 5.0 client rating, Ryan brings both academic grounding and clear communication to topics like elasticity, market failures, and the mechanics of supply-and-demand shifts. He also teaches finance and accounting, which means he can show students how microeconomic reasoning actually translates into business decisions — making abstract models feel like practical tools rather than exam fodder.

Alex earned an honors Economics degree from the University of Chicago and currently works as a research assistant there while applying to PhD programs — meaning he's immersed in economic thinking daily. He breaks down core concepts like market equilibrium, elasticity, and game theory by connecting them to real policy debates and current research, making abstract models feel concrete.

Philosophy trains you to dissect arguments down to their logical structure — a skill that transfers directly to economics, where every model rests on assumptions about how rational agents behave. Joshua's philosophy degree means he's comfortable interrogating the reasoning behind concepts like utility maximization or the tragedy of the commons, pushing past surface-level definitions to examine why the models work and where they break down.

Five years as an investment analyst at a private wealth management firm meant Neil lived economics daily — watching how shifts in monetary policy moved portfolio strategy, how market incentives shaped client behavior, and how macroeconomic indicators translated into real allocation decisions. His Princeton economics degree provides the theoretical backbone, but it's that hands-on financial experience that lets him make concepts like interest rates, market equilibrium, and fiscal policy feel tangible rather than textbook-abstract. Rated 5.0 by his students.

A finance degree means Bowen learned economics from the applied side first — portfolio theory, capital markets, risk pricing — and then traced those ideas back to the underlying micro and macro principles that drive them. That reverse path gives him a practical way to explain concepts like supply and demand or monetary policy, since he can point to exactly where those abstractions show up in actual financial decision-making.

Supply and demand curves are straightforward until you layer in elasticity, market failures, and government intervention — then economics gets interesting. Eliza earned her economics degree from Penn and tackles concepts like comparative advantage and marginal analysis by tying them to real-world examples students actually recognize, from streaming service pricing to minimum wage debates.

After spending years on Wall Street analyzing markets, industries, and financial data as a research executive, Frank brings an insider's understanding of how macroeconomic forces — interest rates, inflation, trade dynamics — actually ripple through real institutions. His MBA sharpens that perspective, letting him connect textbook models of supply, demand, and market structure to the strategic decisions he made professionally.

Applying to PhD programs in applied mathematics means Romeo lives in the quantitative world that most economics students find intimidating — the calculus behind marginal analysis, the optimization problems in consumer and producer theory, the statistical models that underpin econometric reasoning. His math degree and 1510 SAT give him the analytical toolkit to break down the equations hiding inside economic concepts, making the transition from intuitive supply-and-demand reasoning to formal modeling feel far less daunting.

As a Finance major at Boston College, Andy engages with economic theory daily — from GDP and inflation to trade policy and market structures. He unpacks concepts like supply-and-demand equilibrium and opportunity cost by tying them to real headlines and business decisions, making the logic behind economic models click rather than feel abstract.

Clive is currently studying economics at Brown, where he's immersed in everything from microeconomic theory and market structures to macroeconomic policy and econometric modeling. That active coursework means he knows exactly which concepts — opportunity cost, elasticity, game theory, aggregate demand — tend to trip students up and how current professors frame them.

Studying economics at Penn while simultaneously completing a music degree meant Katherine had to internalize models quickly — there wasn't time to passively reread chapters on elasticity or game theory when rehearsals and problem sets competed for the same hours. That efficiency now shows up in her tutoring, where she zeroes in on the specific graph, equation, or intuition a student is missing and builds understanding from there. Her 1550 SAT speaks to the analytical sharpness she brings to quantitative econ topics.

Studying Politics, Philosophy, and Economics at Penn means Esther encounters economic concepts not in isolation but tangled up with the political incentives and philosophical arguments that shape them — why a carbon tax gets framed as market efficiency in one class and as an ethical obligation in another. That interdisciplinary wiring is especially useful for students who need to understand the reasoning behind economic models, not just the graphs themselves. Rated 5.0 by her students.

I am highly proficient in other areas in economics, high school mathematics, calculus I and European history.

Three economics degrees deep, Simon lives in supply-and-demand curves, GDP models, and game theory the way most people live in their native language. He unpacks concepts like elasticity, monetary policy, and market equilibrium by tying them to real headlines — tariff debates, Federal Reserve decisions, housing markets — so the math and the intuition reinforce each other.

Rithi's quantitative backbone — a neuroscience degree, a master's in biotechnology, and deep coursework in statistics and calculus — means she can tackle the math-heavy side of economics that often catches students off guard, like working through elasticity calculations, interpreting cost curves, or setting up optimization problems. Her 4.9 rating speaks to an ability to make that quantitative reasoning feel approachable even for students who came in expecting a purely conceptual course.

Studying economics and legal studies at Penn means Ethan lives inside the overlap between market forces and the rules that shape them — how antitrust law changes competitive dynamics, or why regulatory frameworks matter as much as supply curves. That legal dimension gives him a useful angle for explaining topics like market failures and government intervention, where the textbook model and the real-world outcome don't always match up. His 35 ACT speaks to the kind of analytical sharpness that translates well into breaking down econ problem sets.

Double-majoring in Economics and History at UCLA meant Christopher studied economic models alongside the policy debates and institutional shifts that produced them — so concepts like fiscal multipliers or trade deficits come with built-in context, not just formulas. His post-college work at Deutsche Bank gave him a front-row seat to how macroeconomic forces actually ripple through financial markets, which keeps his explanations grounded in observable outcomes.