Award-Winning Economics Tutors
serving Fayetteville, NC

As an economics major at Duke, Eric tackles everything from supply-and-demand fundamentals to more advanced topics like game theory, market structures, and macroeconomic policy. He connects abstract models to real-world examples that make concepts like elasticity or comparative advantage intuitive rather than formulaic. Rated 5.0 by students.

Studying both engineering and economics at Duke gave Natalie a quantitative lens on economic reasoning — she's comfortable moving between supply-and-demand intuition and the math behind elasticity, optimization, and equilibrium. She digs into the "why" behind each model so students can apply concepts to unfamiliar problems, not just textbook examples.

As an economics undergrad, Ify is actively working through the same material her students encounter — from micro concepts like elasticity and market structures to macro topics like aggregate demand and fiscal policy — which means the problem sets and exam formats are fresh in her mind. She also teaches AP Micro and AP Macro, so she knows exactly where the College Board emphasizes tricky distinctions like the difference between a movement along a curve and a shift of the curve. Rated 5.0 by her students.

Studying economics at Duke while earning a 3.94 GPA means Bailey has recently worked through the exact problem sets and curve-shifting logic that trip up most econ students — elasticity calculations, equilibrium analysis, the jump from micro consumer theory to macro aggregate models. She also brings a global perspective from her time studying in China, where concepts like trade policy and exchange rates weren't just textbook exercises but visible in daily life.

Matt's background sits at the intersection of mathematics and policy, which means he can explain economics from both the quantitative side — supply-demand models, elasticity calculations, game theory — and the real-world side of why these frameworks matter. He digs into the intuition behind each model before drilling the math, so students can reason through unfamiliar problems.

Supply and demand curves, elasticity, and market equilibrium all follow the same logic as the mathematical models Devin works with in chemical engineering — variables interact, and changing one shifts the whole system. He teaches economics by grounding abstract graphs in concrete scenarios so students can predict outcomes instead of memorizing curve shifts.

Supply and demand curves are simple enough on the surface, but economics gets genuinely tricky when you're modeling externalities, calculating elasticity, or working through game theory payoff matrices. Timothy majored in Economics at Emory and is completing his MBA at Duke on academic scholarship, so he can move fluidly between micro and macro concepts and connect textbook models to how markets actually behave.

Rebecca's economics knowledge isn't just academic — she works as an economic researcher in the public sector, applying concepts like market equilibrium, elasticity, and cost-benefit analysis to real policy questions every day. That professional context lets her explain supply-and-demand models or game theory with concrete examples that make abstract graphs click. Rated 5.0 by students.

Studying public policy at UNC Chapel Hill means Rishi lives at the intersection of economic theory and real-world decision-making every day. He breaks down concepts like market equilibrium, elasticity, and trade-offs by tying them to actual policy debates, which makes abstract graphs click faster than rote memorization ever could.

Danielle teaches economics across high school and college levels, and her financial accounting background gives her a concrete way into topics like cost structures, pricing decisions, and how firms respond to changing market conditions. When students get lost in abstract graphs of supply and demand or GDP models, she pulls them back to the underlying logic — what's actually happening to dollars, inventories, and incentives in a real transaction.

Rayhan's Duke history degree taught him to trace cause and effect through complex systems — a skill that transfers directly to economics, where understanding why a tariff reshapes domestic markets or how inflation erodes purchasing power depends on the same kind of causal reasoning. His biology and chemistry minors add comfort with quantitative analysis, so he can walk through the graphs and equations that often trip students up in micro and macro courses. Rated 5.0 by his students.

Supply-and-demand curves are straightforward until you layer in elasticity, externalities, and market failures — that's where economics gets interesting and where most students need the most support. George tackles both micro and macro concepts by connecting textbook models to real business scenarios, drawing on his UNC Chapel Hill business degree to make abstract graphs feel concrete.

Shourya's physics training at UNC Chapel Hill means he thinks in models — building simplified representations of complex systems, then testing whether the math holds up. That same skill translates directly to economics, where students need to move fluidly between graphical models like supply-and-demand curves and the algebra underlying concepts such as elasticity or marginal cost. Rated 4.9 by his students.

As an economics major heading to law school, Ben brings a student's-eye clarity to the material — he recently worked through the same problem sets, graphs, and models that trip up most econ students, from shifting supply curves to calculating elasticity. His 5.0 rating speaks to an ability to break down microeconomic and macroeconomic reasoning in terms that actually stick.

An economics degree means Shane doesn't just explain supply-and-demand curves — he can trace a concept from introductory micro through game theory, market structures, and macroeconomic policy. He unpacks models like IS-LM or Solow growth by connecting the math to the intuition behind it, so students understand what the equations are actually saying about the economy.

Brianna earned her Business Administration degree from the University of Richmond with a concentration in Marketing Analytics, which required rigorous coursework in micro and macroeconomic theory, market structures, and quantitative modeling. Her math teaching background means she's especially effective at unpacking the graphical and algebraic side of economics — supply-demand equilibria, elasticity calculations, and cost curves.

I am Professor Florence. I teach at USC, UCSB, Pepperdine University, CSUN, Cal Tech, and other Universities. I received my bachelor's in Math and Psychology at UCLA, Ph.D. work in Engineering at Virginia Tech, and MBA in Marketing and New Venture Management at USC. I graduated at the top of my class, Phi Beta Kappa, Magna Cum Laude, Highest Honors, full fellowships, and more. I am an expert on:

I'm very passionate about helping others to understand their schoolwork or to "crack the SAT." Seeing the light bulb go off when a student finally gets it is an amazing feeling! Because all of this material is fresh in my mind, I'm able to share personal experiences and give first hand advice on all of the subjects that I tutor. I work hard to make sure that my explanations are clear and easy to understand, and I love finding free online resources to help my students!

Trevor majored in Economics at Dartmouth, which means he's recently wrestled with the same problem sets, graph interpretations, and elasticity calculations that current students are working through — and he still remembers exactly where the material gets confusing. His coursework spanning micro and macro gives him a fresh graduate's recall of how to break down topics like market structures or GDP accounting without the distance that comes from years away from the classroom.

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.

Studying economics at Yale means Conor is working through the same problem sets, models, and exam formats that many of his students are currently facing — from micro concepts like elasticity and market structures to macro topics like GDP accounting and monetary policy. That proximity to the material, paired with a 1590 SAT that signals serious quantitative chops, makes him especially sharp at walking through the graphs and algebra that tend to separate students who memorize definitions from those who actually understand how economic models work.

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.

Studying economics and finance at Wharton means Samica encounters micro and macroeconomic theory daily — supply and demand curves, market structures, GDP modeling — and can translate those concepts into clear, intuitive explanations. She connects abstract ideas like elasticity or comparative advantage to real-world business cases, which makes the material stick far better than rote definition review.

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.

Studying economics at Penn means Alessia encounters supply-and-demand models, game theory, and macroeconomic policy debates in her own coursework every week. That real-time engagement with the material makes her especially effective at unpacking concepts like elasticity, comparative advantage, and IS-LM analysis — she explains them the way she just learned to think about them, not from distant memory.

Jake's marketing degree means he studied the demand side of economics firsthand — consumer behavior, pricing strategy, and how firms respond to market signals are concepts he's applied, not just memorized. His strong quantitative background (he tutors AP Statistics and both AP Calculus courses) lets him handle the graphing and algebraic reasoning that economics problems demand when students move past definitions into actual analysis. Rated 4.9 by his students.

Supply and demand curves are simple enough on the surface, but economics gets tricky fast once students hit elasticity, market structures, or macroeconomic models. Emma minored in economics at Harvard, so she can unpack concepts like comparative advantage or fiscal policy with real-world examples that make the math and the theory click together. She holds a 5.0 client rating.

Supply and demand diagrams are just the entry point — JF digs into the reasoning behind elasticity, comparative advantage, and market equilibrium so that students can tackle unfamiliar problems without relying on memorized setups. His dual math and computer science training at Stanford gives him a quantitative edge when explaining concepts like marginal analysis and cost curves.

Studying economics at the University of Chicago — where the discipline's most influential modern ideas were developed — means Benjamin is immersed in microeconomic reasoning and market theory at a school that takes the subject unusually seriously. His 35 ACT and strong math background let him move comfortably between the graphical intuition of supply-and-demand analysis and the algebraic problem-solving that trips up students when courses start introducing equations. Rated 4.8 by his students.

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

I am graduated from Penn State University in Industrial Engineering in 2017. I've tutored ever since I was in high school, and I love helping people! I like to help my students understand math (and other topics) instead of just doing it blindly. My goal is to help my students improve their math (and other topics) and build skills that will help them find learning easier in the future! Fun fact, I used to work for Disney and I like to salsa dance!