In Economics, math is a language used to express and study to explain goods and services. While mathematics is important in measuring the production, distribution, and consumption of wealth, it is limited in its ability to develop and assess policy. You will need to understand math in economics, but you will also need to go beyond it.
Human behavior is the basis of economic activity. The data you collect can be used to understand and explain human behavior, but it does not define human behavior. Just because one policy might be more mathematically sound than another, it does not mean that people will go for it. The social science side of Economics is outside the scope of mathematics.
Types of Math in Economics
You’ll learn various types of math throughout your coursework:
Statistics
Provides the framework for collecting and interpreting data. It allows economists to establish relationships between variables.
Common applications include:
- Descriptive analysis of GDP growth, inflation rates, or unemployment.
- Inferential methods to estimate parameters and test economic theories.
Econometrics
Applies statistical methods to economic data to estimate relationships and test data. It combines:
- Regression analysis to model demand, supply, or production functions.
- Time series analysis for forecasting inflation, interest rates, or business cycles.
- Panel data methods for cross-country or multi-entity analysis
Trigonometry
Provides a strong foundation for Calculus because trigonometric functions are frequently used in calculus.
Algebra
College algebra is the foundation for higher-level math in economics:
- Linear equations for supply-demand equilibrium.
- Quadratic functions for cost-revenue analysis.
- Systems of equations for input-output models and market equilibrium.
- Functions and transformations for modeling economic relationships.
Calculus
Calculus is used to model continuous change in economics. Key applications include:
- Marginal analysis: Marginal cost (derivative of total cost) and marginal revenue (derivative of total revenue) help find optimal production levels.
- Optimization: Finding the cost, revenue, or utility functions.
- Elasticity: Calculating price, income, and cross-price elasticity using derivatives.
- Modeling growth: Exponential and logarithmic functions describe population growth, GDP trends, and depreciation.
Going Beyond Math in Economics
Once you have established your math courses, you are equipped with the language necessary to analyze, interpret, and explain data.
Mathematics is a useful tool, but overreliance can cause people to lose sight of the real-world complexities. It’s important to remember that the models you build with econometrics are representations of real-world phenomena, but the most important work that you do is with people.
In practice, going beyond mathematics in economics means:
- Using formal tools selectively and critically.
- Combining quantitative models with qualitative, policy, and ethical analysis.
- Engaging with interdisciplinary data and frameworks.
- Ensuring models reflect real-world complexity and human agency.
The Bottom Line
In short, no, you do not have to like math to be an economics major, but you do need to know enough to understand it. Math examines human behavior in the economy. If you are interested in that, then economics is for you.