Managerial Economics

Introduction

Managerial Economics applies economic reasoning, quantitative methods, and evidence to decisions inside firms and other organizations. You use it when you must choose a price, output level, capacity plan, product mix, contract, advertising budget, hiring policy, or competitive response under scarcity and uncertainty. The central question is not merely “What does economic theory say?” but “Which feasible action best serves the organization’s objective, given demand, costs, incentives, rivals, information, risk, and constraints?”

At university level, managerial economics connects microeconomic theory with management, business administration, statistics, econometrics, operations research, and decision theory. The course emphasizes structured reasoning: define the decision, identify alternatives, model relevant consequences, estimate uncertain quantities, compare incremental benefits and costs, test sensitivity, and communicate a recommendation with assumptions and limitations.

A market equilibrium diagram is useful because managers rarely control every variable. A firm chooses within a market environment in which customers, suppliers, competitors, regulators, and technologies also respond. You therefore need both an internal view of the organization and an external view of the market.

Learning Objectives

After completing this aiMOOC, you should be able to translate a managerial problem into an economic decision model; distinguish relevant, opportunity, fixed, variable, and sunk costs; analyze demand and elasticity; connect elasticity to revenue and pricing; use marginal analysis to identify profit-maximizing choices; compare decisions under different market structures; evaluate strategic interaction with basic game theory; apply expected value and decision trees under uncertainty; recognize information and incentive problems; interpret demand estimates and forecasts critically; and present evidence-based recommendations that remain valid when key assumptions change.

Managerial Economics as a Decision Science

Objectives, Constraints, and Trade-offs

A sound managerial model begins with an objective. In a private firm the objective may be economic profit, enterprise value, growth, market share, or a weighted combination of goals. In a public or nonprofit organization it may involve service quality, access, reliability, or social impact subject to a budget. The objective must be paired with constraints, such as capacity, cash, regulation, labor availability, contracts, technology, or a minimum service standard.

Scarcity creates trade-offs. The opportunity cost of a decision is the value of the best forgone alternative. Opportunity cost is broader than an accounting payment. If a company uses a warehouse it already owns, the relevant economic cost can include the rental income it gives up. If a manager spends scarce engineering time on one feature, the value of the best alternative feature is part of the opportunity cost even when no invoice is issued.

A useful habit is to define the decision in a compact form: choose the feasible action that produces the highest expected objective value after accounting for relevant consequences and constraints. This formulation makes hidden assumptions visible.

Marginal Analysis

Managers often face choices about “one more” unit, customer, hour, advertisement, employee, or product feature. Marginal benefit is the additional benefit created by a small increase in an activity. Marginal cost is the additional cost. For a smooth interior optimum, a standard economic rule is to expand an activity while marginal benefit exceeds marginal cost and stop where the two are equal.

For a profit-maximizing firm, the corresponding rule is commonly written as MR = MC, where MR is marginal revenue and MC is marginal cost. This rule is powerful but not automatic. You must still check feasibility, capacity limits, discontinuities, corner solutions, and whether the candidate point actually yields the best attainable outcome.

Incremental analysis is closely related. When comparing alternatives, include revenues and costs that change because of the decision and exclude items that do not change. This is especially important when a proposal is affected by allocated overhead that will continue regardless of the choice.

Relevant Costs, Sunk Costs, and Economic Profit

A sunk cost has already been incurred and cannot be recovered by the current decision. Sunk costs can explain why a project exists, but they should not determine whether continuing the project is now optimal. A manager should instead compare future incremental benefits with future incremental costs.

Economic profit subtracts both explicit costs and implicit opportunity costs. It therefore differs from accounting profit when resources have valuable alternatives. This distinction is central to make-or-buy decisions, product continuation, capacity use, and investment in scarce managerial attention.

Demand Analysis and Forecasting

Demand Functions and Market Changes

A demand function relates quantity demanded to variables such as own price, prices of substitutes and complements, income, advertising, product quality, seasonality, expectations, and customer characteristics. A simplified form can be written as Q = f(P, Ps, Pc, Y, A, Z), where Q is quantity, P is own price, Ps and Pc represent prices of related goods, Y is income, A is advertising, and Z represents other demand drivers.

A movement along a demand curve occurs when own price changes while other modeled determinants are held fixed. A shift in demand occurs when another determinant changes. This distinction matters managerially. A decline in sales after a price increase is not interpreted in the same way as a decline caused by a new competitor, recession, quality problem, or change in customer preferences.

Supply shifts also matter to managers. A productivity improvement, input-price change, tax, capacity expansion, or disruption can alter market supply and therefore equilibrium price and quantity. Managers should ask whether a change is firm-specific, market-wide, temporary, or persistent.

Estimating Demand

Historical data can help estimate how customers respond, but correlation alone does not establish a causal price effect. Price is often endogenous: firms may raise prices when demand is unusually strong or discount when demand is weak. A naive regression can therefore confuse managerial responses with customer responses.

Useful empirical strategies include randomized price or promotion experiments where feasible, carefully designed natural experiments, panel data with appropriate controls, and instrumental-variable approaches when a defensible source of exogenous variation exists. The correct method depends on the decision and the data-generating process. You should always ask which variation identifies the effect you want to use.

A common log-log demand specification has the form ln Q = α + β ln P + γ ln Y + δA + ε. Under suitable assumptions, β can be interpreted as an own-price elasticity. The algebra is convenient, but a coefficient is not automatically causal. Identification, measurement quality, model specification, and external validity remain essential.

Forecasting for Decisions

Forecasting asks what is likely to happen; causal analysis asks what will happen because you intervene. The distinction is crucial. A forecasting model may predict sales accurately using variables that are poor levers for intervention. A pricing decision needs a causal response to price, not merely a strong predictor of sales.

Managers can compare simple benchmarks such as seasonal averages with more complex time-series or machine-learning forecasts. Performance should be evaluated out of sample with an error metric appropriate to the decision. Forecast uncertainty should be propagated into the decision rather than hidden behind a single point estimate.

Elasticity and Revenue

Price Elasticity of Demand

Price elasticity of demand measures the percentage change in quantity demanded associated with a one-percent change in price, holding other relevant factors constant. It is usually negative because quantity demanded often falls when price rises. Managers commonly interpret the absolute value: demand is elastic when the magnitude exceeds one, unit elastic when it equals one, and inelastic when it is below one.

For discrete changes, the midpoint method reduces dependence on the direction of calculation by using average price and average quantity in the percentage changes.

Elasticity connects directly to total revenue. If demand is elastic, a small price increase tends to reduce total revenue because the percentage loss in quantity exceeds the percentage gain in price. If demand is inelastic, a small price increase tends to raise total revenue. This is a revenue statement, not automatically a profit statement: changes in variable costs and other strategic effects also matter.

Cross-Price and Income Elasticity

Cross-price elasticity helps identify substitutes and complements. A positive cross-price elasticity is consistent with substitution: when the price of another product rises, demand for your product increases. A negative value is consistent with complementarity.

Income elasticity measures how demand changes with customer income. A positive value is associated with a normal good, while a negative value is associated with an inferior good. For managers, these measures can improve market segmentation, scenario planning, and forecasts across economic conditions.

Elasticity and the Markup Rule

For a single-product monopolist with differentiable demand and an interior profit maximum, the Lerner condition links markup and elasticity: (P - MC) / P = 1 / |ε|, where ε is the own-price elasticity at the chosen point. The result shows that greater market power is associated with less elastic demand, other things equal.

The condition is not a universal pricing formula. It assumes a particular one-period optimization setting and abstracts from dynamics, multi-product interactions, capacity, regulation, strategic reactions, and customer lifetime value. In practice it is best used as a diagnostic relationship rather than a mechanical command.

Production, Costs, and Scale

Short-Run Cost Concepts

Fixed cost does not vary with output over the relevant decision horizon. Variable cost changes with output. Total cost equals fixed cost plus variable cost. Average total cost divides total cost by quantity; average variable cost divides variable cost by quantity; and marginal cost measures the change in total cost from producing an additional unit.

The relationship between marginal and average values is important. When marginal cost is below average cost, producing an additional unit pulls average cost downward. When marginal cost is above average cost, it pushes average cost upward. Consequently, the marginal-cost curve crosses an average-cost curve at that average curve’s minimum under the usual smooth assumptions.

Economies of Scale, Scope, and Learning

Economies of scale exist when long-run average cost falls as output expands over a range. Causes can include specialization, spreading indivisible costs, engineering relationships, or purchasing efficiencies. Diseconomies of scale can arise from coordination problems, congestion, or managerial complexity.

Economies of scope occur when joint production of multiple products costs less than producing them separately. Shared distribution, data, platforms, brands, or production assets can create scope advantages.

A learning curve is different from scale. Unit cost may fall because cumulative experience improves processes even if the current production rate does not rise. Managers should separate scale, scope, and learning because each implies a different strategic response.

Contribution and Break-Even Logic

The contribution margin per unit is price minus variable cost per unit. It measures how much one additional unit contributes toward covering fixed costs and then profit, assuming the stated variable cost is relevant. If price is 50 and variable cost is 30, the contribution margin is 20 per unit.

A simple break-even quantity is fixed cost divided by contribution margin per unit. This tool is useful for screening decisions, but it assumes stable prices and unit variable costs. When demand changes with price, capacity is constrained, or costs are nonlinear, managers should use a richer model.

Profit Maximization and Market Structure

Perfect Competition and Price Taking

In a perfectly competitive model, an individual firm is a price taker. It chooses output while market price is given. A profit-maximizing firm produces where price, which equals marginal revenue, equals marginal cost, provided the operating and shutdown conditions are satisfied.

Perfect competition is a benchmark rather than a claim that every real market has identical products, free entry, and many tiny firms. The benchmark helps managers identify how market power, differentiation, entry barriers, and strategic interaction change the decision problem.

Monopoly and Market Power

A monopolist faces the market demand curve. Selling more generally requires a lower price, so marginal revenue is below price when demand slopes downward. The monopolist first chooses the profit-maximizing quantity where marginal revenue equals marginal cost, then uses the demand curve to determine the corresponding price.

Market power can arise from legal exclusivity, control of key inputs, network effects, scale economies, switching costs, product differentiation, or other barriers to entry. Managers should distinguish durable sources of advantage from temporary market positions.

Monopolistic Competition and Oligopoly

Monopolistic competition combines many sellers with differentiated products and relatively accessible entry. Each firm has some discretion over price because its product is not a perfect substitute for every rival product, but entry and substitution constrain long-run profit.

Oligopoly involves a small number of strategically interdependent firms. A decision by one firm changes the environment faced by others. Price, capacity, product launch timing, advertising, and standards can therefore require game-theoretic reasoning rather than a one-firm optimization model.

Pricing Strategy

Price Discrimination

Price discrimination means charging different prices for units or customer groups when the differences are not fully explained by cost differences. For it to be profitable, a firm generally needs market power, identifiable differences in willingness to pay or demand elasticity, and limits on arbitrage between customers or markets.

Third-degree price discrimination separates customers into observable groups and sets different prices across those groups. Other forms include quantity-based schedules, versions, coupons, subscriptions, or personalized offers. The economic logic must be considered alongside law, fairness, privacy, transparency, implementation cost, and reputational effects. A strategy that is theoretically profitable may still be unacceptable or unlawful in a particular jurisdiction or market.

Bundling, Two-Part Tariffs, and Versioning

Bundling sells multiple products together. It can reduce dispersion in willingness to pay across customers and can also create genuine cost or convenience benefits. Versioning creates product variants so customers self-select according to their preferences. A two-part tariff combines an access fee with a per-unit price.

These methods are most useful when managers understand heterogeneity in willingness to pay and usage. They should be tested against customer behavior, competitive response, operating complexity, and long-term relationships rather than judged only by a static spreadsheet.

Strategic Interaction and Game Theory

Best Responses and Nash Equilibrium

A strategy is a complete plan of action for a player in a game. A best response maximizes a player’s payoff given the strategies of others. A Nash equilibrium is a combination of strategies in which each player’s strategy is a best response to the others; no player can improve its payoff by unilaterally changing strategy.

The prisoner’s dilemma illustrates why individually rational actions can produce a jointly inferior outcome. In managerial settings, similar logic can appear in advertising races, capacity expansion, repeated discounting, standards competition, and other strategic environments.

Repeated Games, Commitment, and Credibility

When firms interact repeatedly, future consequences can influence current incentives. Reputation, reciprocity, and credible punishment strategies may support outcomes that differ from a one-shot game. However, managers must not treat game theory as a justification for illegal collusion. Competition law can prohibit agreements among competitors on prices, output, market allocation, or other dimensions.

A credible commitment changes future incentives in a way that other players believe. Capacity investment, long-term contracts, warranties, or public standards can sometimes act as commitments. A threat that would be irrational to carry out when the time comes is usually not credible.

Decisions Under Risk and Uncertainty

Expected Value and Decision Trees

When outcomes are uncertain but probabilities can be estimated, expected value is a probability-weighted average of possible outcomes. For a decision with outcomes x and probabilities p, expected value can be written as EV = Σ p × x. A decision tree organizes sequential choices, chance events, probabilities, and payoffs so that alternatives can be evaluated consistently.

Expected monetary value is not always the complete objective. Bankruptcy risk, liquidity constraints, risk aversion, strategic flexibility, and asymmetric consequences can make two alternatives with the same expected payoff very different.

Sensitivity Analysis and Value of Information

A model is more useful when you know what would make its recommendation change. Sensitivity analysis varies uncertain inputs such as demand, cost, competitor response, or probability estimates and observes whether the preferred decision changes.

The value of information is the improvement in expected decision quality that additional information could create. This concept helps decide whether to pay for market research, experiments, pilots, or data. Information is valuable only if it can change a decision and improve expected outcomes enough to justify its cost.

Updating Beliefs

Managers often begin with prior beliefs and receive new evidence. Bayesian reasoning provides a disciplined way to update probabilities when new information arrives. The managerial lesson is broader than the formula: distinguish prior assumptions from new evidence, assess how diagnostic the evidence is, and update consistently rather than reacting only to vivid anecdotes.

Information, Incentives, and Organization

Adverse Selection and Moral Hazard

Adverse selection arises before a transaction when one side has private information about its type or quality. Moral hazard arises after an agreement when hidden actions or changed incentives affect behavior. Screening, signaling, warranties, deductibles, monitoring, and contract design can help, but each solution has costs and possible unintended effects.

In organizations, the principal-agent problem appears when a principal delegates decisions to an agent whose objectives or information differ. Compensation and performance measures should therefore be designed with attention to what can be measured, what can be manipulated, and which valuable activities might be crowded out by a narrow target.

Behavioral Considerations

Managers and customers are not perfectly rational calculators. Anchoring, loss aversion, overconfidence, present bias, limited attention, and default effects can change choices. Behavioral insights are most useful when treated as testable hypotheses rather than labels applied after the fact.

Experiments, A/B tests, pre-analysis plans, and clear outcome metrics can help distinguish genuine behavioral effects from stories that merely sound plausible. Ethical design also matters: influencing behavior should not depend on deception or exploitation.

External Economic Conditions

Macroeconomic conditions enter managerial decisions through concrete channels. Interest rates affect financing and discounting; exchange rates affect import costs and international revenue; inflation changes nominal input and output prices; unemployment can affect labor markets; and the business cycle can shift demand.

The managerial task is not to predict every macroeconomic variable perfectly. It is to identify which external variables materially affect the decision, construct scenarios, estimate exposures, and decide whether pricing, sourcing, hedging, inventory, capacity, or financing policies should change.

Integrative Worked Case

Consider a simplified subscription service with inverse demand P = 200 - 0.02Q, where P is the monthly price and Q is the number of subscriptions. Marginal cost is constant at 20 per subscription and fixed cost for the period is 100,000.

Total revenue is TR = 200Q - 0.02Q², so marginal revenue is MR = 200 - 0.04Q. Setting MR equal to MC gives 200 - 0.04Q = 20, so the candidate profit-maximizing quantity is 4,500 subscriptions. Substituting Q = 4,500 into demand gives a price of 110.

At that point, contribution before fixed cost is (110 - 20) × 4,500 = 405,000. Subtracting fixed cost gives a simplified economic profit of 305,000, assuming the listed costs capture all relevant economic costs. The point elasticity of demand is about -1.22, so the Lerner relationship gives a markup ratio of about 0.82, matching (110 - 20) / 110 in this stylized model.

A manager should not stop at the arithmetic. You should test whether the demand estimate is causal, whether capacity can serve 4,500 customers, whether churn or customer lifetime value changes with price, whether rivals will respond, whether marginal cost is truly constant, and whether the proposed price is compatible with regulation, contracts, and long-term strategy. Managerial economics is the discipline of connecting the model to those real constraints.

A Practical Decision Workflow

Decision framing: State the objective, decision variable, time horizon, feasible alternatives, and constraints.
Relevant information: Separate decision-relevant revenues, costs, probabilities, and strategic responses from sunk or unchanged items.
Demand analysis: Estimate how customers and the market respond, distinguishing prediction from causal effects.
Optimization: Compare incremental benefits and costs and identify candidate optima or dominant alternatives.
Strategic analysis: Check market structure, competitor responses, incentives, and information asymmetries.
Risk analysis: Model uncertainty, expected outcomes, downside exposure, and the value of additional information.
Sensitivity analysis: Vary key assumptions and identify thresholds at which the recommendation changes.
Managerial communication: Present the recommendation, evidence, assumptions, risks, implementation steps, and indicators to monitor.

Interactive Tasks

Quiz: Test Your Knowledge

Which statement best describes opportunity cost? (The value of the best alternative forgone) (!A payment that has already been made) (!The total accounting cost recorded last year) (!Any cost that appears on a financial statement)

If the absolute value of price elasticity of demand is greater than one, demand is described as what? (Elastic) (!Inelastic) (!Perfectly fixed) (!Unrelated to price)

What causes a movement along a demand curve in the standard demand model? (A change in the own price of the good) (!A change in consumer income) (!A change in advertising) (!A change in the price of a substitute)

For a smooth interior profit maximum, which condition is the standard marginal rule? (Marginal revenue equals marginal cost) (!Average revenue equals fixed cost) (!Total revenue equals total cost) (!Price always equals average cost)

How should a sunk cost normally affect a current forward-looking decision? (It should be excluded if it cannot be changed by the decision) (!It should always be recovered before any new action) (!It should be counted twice to reflect risk) (!It should determine the selling price by itself)

Why is marginal revenue below price for a monopolist facing a downward-sloping demand curve? (Selling more generally requires lowering the price) (!The monopolist has no fixed costs) (!Marginal cost is always zero) (!Demand is perfectly elastic)

Which condition is generally necessary for profitable third-degree price discrimination? (The firm can limit arbitrage between customer groups) (!All customers have identical demand) (!The firm has no market power) (!Every customer must pay the same price)

What defines a Nash equilibrium? (Each strategy is a best response to the strategies of others) (!Every player receives the same payoff) (!All players cooperate) (!One player chooses every strategy)

What does expected value calculate? (An average of outcomes weighted by their probabilities) (!The worst possible outcome only) (!The most likely outcome without regard to payoffs) (!A guaranteed future payoff)

Why can a simple regression of sales on price give a misleading causal price effect? (Price may respond to unobserved demand conditions) (!Regression can never use numerical data) (!Sales are always independent of price) (!Causal questions require no assumptions)

Memory Game

Opportunity cost	Value of the best alternative forgone
Elasticity	Percentage responsiveness of one variable to another
Marginal cost	Additional cost of one more unit
Nash equilibrium	Strategy profile in which each player is best responding
Sunk cost	Past cost that cannot be changed by the current decision
Adverse selection	Hidden information about type or quality before a transaction

Drag and Drop

Match the correct terms.	Topic
Price elasticity of demand	Responsiveness of quantity demanded to a change in own price
Contribution margin	Price minus variable cost per unit
Marginal revenue	Additional revenue from selling one more unit
Best response	Payoff-maximizing strategy given the strategies of others
Expected value	Probability-weighted average payoff

...

Crossword Puzzle

Elasticity	What concept measures percentage responsiveness to a change in another variable?
Marginal	What word describes the additional effect of one more unit?
Monopoly	What market structure has a single seller in its pure form?
Forecasting	What process predicts future values for planning?
Equilibrium	What term describes a state in which relevant forces or best responses are mutually consistent?
Opportunity	What kind of cost is based on the best alternative forgone?

LearningApps

Cloze Text

Managerial economics connects economic theory with organizational

. The value of the best forgone alternative is an

. A manager should normally ignore a past cost that cannot be changed because it is

. Demand is called

when its price elasticity has an absolute value greater than one. A small price increase tends to reduce total revenue when demand is

. For a smooth interior profit maximum, the standard condition is that marginal revenue equals

. A monopolist facing downward-sloping demand generally has marginal revenue below

. In a Nash equilibrium, each player's strategy is a

to the others. A probability-weighted average of possible outcomes is an

. Additional information is worth acquiring only when its expected decision benefit exceeds its

. A regression coefficient has a causal interpretation only when the required identification assumptions are

. Sensitivity analysis is used to test how a recommendation changes when key

vary.

Open-Ended Tasks

Easy

Opportunity Cost Diary: Record three decisions you make during one week and identify the best alternative forgone in each case; explain whether the opportunity cost is monetary, nonmonetary, or both.
Elasticity Observation: Choose one real product and propose two reasons its demand might be relatively elastic or inelastic; support your reasoning with observable substitutes, necessity, budget share, or time horizon.
Cost Map: Select a small organization or student project and classify at least ten costs as fixed, variable, avoidable, opportunity, or sunk for one clearly defined decision.
Decision Memo: Write a one-page recommendation for a simple make-or-buy, continue-or-stop, or capacity-use choice using incremental benefits and costs.

Standard

Demand Survey: Design a short willingness-to-pay survey for a product, collect a small sample, visualize the responses, and discuss why stated willingness to pay may differ from actual purchasing behavior.
Pricing Experiment: Design an ethical A/B price or promotion experiment, specify the treatment, outcome, sample, stopping rule, and risks, and explain how the design would estimate a causal effect.
Break-Even Model: Build a spreadsheet model with price, variable cost, fixed cost, quantity, contribution margin, and profit; add a sensitivity table showing how break-even quantity changes when price or variable cost changes.
Competitor Game: Create a two-player payoff matrix for a realistic pricing, advertising, capacity, or product-launch decision and identify best responses and any Nash equilibrium.

Advanced

Demand Estimation Project: Obtain or simulate a dataset with price, quantity, and demand shifters; estimate a demand model, interpret elasticity, diagnose endogeneity risks, and state what would be needed for a causal pricing recommendation.
Decision Tree Analysis: Model a managerial choice with at least two sequential decisions and uncertain outcomes, calculate expected values, and determine the maximum amount you would pay for additional information.
Pricing Strategy Audit: Analyze a real firm’s use of segmentation, bundling, subscriptions, versioning, or price discrimination and evaluate profitability logic, arbitrage constraints, customer fairness, legal risk, and competitor response.
Integrated Managerial Case: Produce a report and presentation that combines demand, cost, market structure, strategic interaction, uncertainty, and sensitivity analysis to recommend a decision for a real or carefully constructed organization.

Learning Assessment

Causal Pricing Assessment: Given sales and price data in which prices were reduced during weak-demand weeks, explain why the raw correlation may misstate price elasticity and propose an identification strategy that would support a causal recommendation.
Marginal Decision Assessment: Analyze a capacity-constrained firm with several products and determine which incremental revenues and costs are relevant when allocating the scarce resource.
Market Structure Assessment: Compare how the pricing problem changes when the same product is sold by a price-taking firm, a monopolist, and one of two strategically interdependent firms.
Uncertainty Assessment: Evaluate two projects with different probability distributions, expected values, downside risks, and reversibility, then justify a recommendation for a manager facing a liquidity constraint.
Game Theory Assessment: Construct best responses for a two-firm strategic problem, identify equilibrium behavior, and explain how credible commitment or repeated interaction could change incentives without assuming illegal cooperation.
Information Economics Assessment: Diagnose whether a contract problem is primarily adverse selection, moral hazard, or both, and design a feasible screening, monitoring, signaling, or incentive response.
Integrated Transfer Assessment: Receive a new business case with unfamiliar numbers and recommend a course of action using a transparent model, sensitivity analysis, and a concise executive memo that states assumptions and limits.

Evidence of Learning

Strong evidence of learning includes knowledge of opportunity cost, marginal analysis, demand, elasticity, costs, market structure, pricing, game theory, uncertainty, and information economics; skills in framing decisions, estimating relationships, distinguishing prediction from causation, calculating relevant economic measures, building payoff matrices and decision trees, and testing sensitivity; products such as demand analyses, spreadsheet models, pricing experiments, executive memos, presentations, and integrated case reports; and transfer achievements in applying the same reasoning to unfamiliar industries, nonprofit or public decisions, digital platforms, operations, procurement, labor, and strategy.

You demonstrate advanced competence when you can explain not only which action a model recommends but also why the model is appropriate, what evidence identifies its key parameters, which assumptions are fragile, how rivals or stakeholders may respond, and which observations should trigger a revision of the decision.

OERs on the Topic

The embedded English Wikipedia article provides an open reference point for definitions and related concepts. For deeper study, follow internal links in this aiMOOC to Microeconomics, Demand curve, Price elasticity of demand, Cost curve, Profit maximization, Market structure, Price discrimination, Game theory, Nash equilibrium, Decision theory, Econometrics, and Principal-agent problem.

Linked Learning Areas

Managerial Economics

Managerial economics links economic models to practical choices in organizations. Its essential logic is to define objectives and constraints, estimate how customers and costs respond, compare incremental consequences, account for strategic interaction and uncertainty, and communicate a decision that can survive sensitivity testing. The subject therefore connects naturally with economics, business administration, finance, accounting, marketing, operations, data analysis, organizational design, and strategy.

aiMOOC Projects

Diesen aiMOOC als Battle spielen: Englisch, Klasse 5-6, G-Niveau

Inhalte werden geladen ...

Mediathek wird aus dem Wiki geladen ...

Frag mich zum aktuellen Lerninhalt oder wähle eine kurze Hilfe.

Textmodus bereit

Sprache