Role of a Managerial Economist

by Laura Acevedo; Updated September 26, 2017
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Managerial economics, or business economics, is a division of microeconomics that focuses on applying economic theory directly to businesses. The application of economic theory through statistical methods helps businesses make decisions and determine strategy on pricing, operations, risk, investments and production. The overall role of managerial economics is to increase the efficiency of decision making in businesses to increase profit.

Pricing

Managerial economics assists businesses in determining pricing strategies and appropriate pricing levels for their products and services. Some common analysis methods are price discrimination, value-based pricing and cost-plus pricing.

Elastic Vs. Inelastic Goods

Economists can determine price sensitivity of products through a price elasticity analysis. Some products, such as milk, are consider a necessity rather than a luxury and will purchase at most price points. This type of product is considered inelastic. When a business knows it is selling an inelastic good, it can make marketing and pricing decisions easier.

Operations and Production

Managerial economics uses quantitative methods to analyze production and operational efficiency through schedule optimization, economies of scale and resource analyses. Additional analysis methods include marginal cost, marginal revenue and operating leverage. Through tweaking the operations and production of a company, profits rise as costs decline.

Investments

Many managerial economic tools and analysis models are used to help make investing decisions both for corporations and savvy individual investors. These tools are use to make stock market investing decisions and decisions on capital investments for a business. For example, managerial economic theory can be used to help a company decide between purchasing, building or leasing operational equipment.

Risk

Uncertainty exits in every business and managerial economics can help reduce risk through uncertainty model analysis and decision-theory analysis. Heavy use of statistical probability theory helps provide potential scenarios for businesses to use when making decisions.

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