Economic Consulting Case Interview: The Complete Guide & Examples

Economic Consulting Case Interview

An economic consulting case interview tests how you use economic reasoning, data, and clear assumptions to answer a defined question, often about litigation damages or competition. A strong approach establishes the counterfactual, shows the calculation in plain language, and explains what the result means.

Key Takeaways

•Economic consulting cases differ from strategy cases because they usually ask you to quantify damages, lost profits, or market effects tied to a specific dispute.
•A clear counterfactual, meaning what would have happened without the event in question, forms the foundation of any credible damages estimate.
•Interviewers reward candidates who state their assumptions explicitly and explain how changing each one would shift the final number.
•Walking through your math in plain language matters more than producing a precise figure, since the interviewer is judging your reasoning, not your accounting.
•Strong candidates close by linking their estimate back to the client question and naming the additional data that would sharpen the analysis.

Preparation does not require you to act like a lawyer or recite econometrics terminology. You need to connect evidence to a defensible economic conclusion and communicate uncertainty without losing the thread.

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What Is an Economic Consulting Case Interview?

An economic consulting case interview is a structured exercise in which you analyze a client question using economic concepts, quantitative evidence, and reasoned assumptions. Many prompts focus on litigation: estimating damages, testing whether conduct affected prices, or assessing how a market would have developed without an alleged action. You may be asked to calculate, interpret data, or explain what evidence would strengthen your analysis.

How Economic Consulting Cases Differ from Management Consulting Cases

Management consulting cases often ask how a company can grow, improve profit, or enter a market. Economic consulting cases more often ask what happened, what would have happened under different conditions, and how large the measurable effect may be. The work can draw on microeconomics, statistics, and litigation concepts such as damages, causation, and market definition.

The distinction is about the question and evidence, not simply harder math. A useful answer still has a clear structure, but it should follow the economic issue and available data rather than defaulting to a generic business framework.

Dimension	Management consulting case	Economic consulting case
Typical question	How can the client improve performance?	What was the economic effect of an event or conduct?
Common evidence	Revenue, costs, customers, operations	Prices, market data, transactions, regression results
Typical output	Business recommendation and implementation priorities	Economic estimate, causal reasoning, and limits of the evidence

The But-For World: The Foundation of Every Damages Case

The but-for world is the counterfactual: a reasoned estimate of what would have occurred if the alleged conduct or event had not happened. Damages generally compare the observed outcome with that benchmark. The hard part is choosing a credible comparison, not subtracting two numbers.

For a price claim, you might estimate the but-for price using unaffected periods, comparable markets, or a yardstick market. Then compare that estimate with the actual price and apply the difference to affected units. State the assumptions, time period, and data limitations before treating the result as a conclusion.

Which Firms Use This Format and What They Look For

Firms including Cornerstone Research, Analysis Group, NERA, and Bates White work on economic analysis for legal disputes and regulatory matters. Interview formats vary by role and office, so use the job description and recruiter guidance to understand the expected mix of case discussion, quantitative reasoning, and behavioral questions. One firm’s process may not represent all firms.

Practice explaining your logic as you calculate. An interviewer can follow a concise chain from question to method to interpretation more easily than a stream of unexplained numbers. For broader interview preparation, Behavioral Interview Practice is available alongside case preparation. CaseTutor publicly states that its platform covers behavioral interviews as well as cases.

The Three Core Litigation Archetypes: Walkthroughs with Real Numbers

These simplified examples show the mechanics of common damages questions. The figures are illustrative, not estimates from a real dispute. In an interview, say what each number represents, check units, and label the result as a preliminary estimate that depends on the assumptions.

Antitrust Price-Fixing: Calculating Overcharges and Pass-Through Rates

Suppose a buyer purchased 100,000 units at an observed price of $12. Your comparison analysis supports a but-for price of $10. The estimated overcharge per unit is $12 − $10 = $2. Direct overcharge damages before considering downstream effects are 100,000 × $2 = $200,000.

If the buyer resold the product, estimate how much of the added cost it passed to customers. At a 60% pass-through rate, the buyer absorbed 40% of the overcharge: $200,000 × 40% = $80,000. Explain that the assumed rate matters, and that the appropriate damages measure depends on the claim and evidence.

Patent Infringement Lost Profits: The But-For Pricing and Market Share Model

For a lost-profits model, compare the claimant’s actual sales with sales in a plausible but-for world, then account for incremental profit rather than treating all lost revenue as damages. Assume the model estimates 20,000 units the claimant would have sold, at a $50 price and $30 variable cost per unit. The contribution margin is $20, so estimated lost profits are 20,000 × ($50 − $30) = $400,000.

Test whether the assumed volume makes sense: would the claimant have had enough capacity, and would customers have bought those units from it? Market share, competing products, pricing, and demand evidence can change the estimate. Present the calculation as a model, not proof that every projected sale would have occurred.

Securities Class Actions: Event Study Regression and Abnormal Returns

An event study estimates how a security performed relative to a benchmark around a specific disclosure or event. Suppose a stock returned −8% on the event day, while a market model predicted −3% based on market movement. The abnormal return is −8% − (−3%) = −5%. If the relevant share price before the event was $40, a rough price effect is $40 × 5% = $2 per share.

Do not equate that estimate automatically with recoverable damages. The analyst must assess the event window, confounding news, model fit, and the relationship between the information and price movement. State the finding carefully: the model estimates an abnormal decline, subject to those checks. A clear economic consulting case interview response separates the measured return from the legal conclusion.

For additional interview preparation beyond these litigation examples, Behavioral Interview Practice can help you rehearse fit-interview answers. Story Studio supports voice-based fit-interview rehearsal, so you can practice communicating your own experience clearly.

Mastering the Quantitative Toolkit: Regression, Elasticity, and Damages

In an economic consulting case interview, quantitative skill means more than calculating an estimate. You need to explain what the evidence measures, whether the method fits the question, and which assumptions could change the result. Focus on the connection between data and the economic claim. A regression may show an association, while a damages model requires a defensible estimate of what would have occurred without the alleged conduct.

Interpreting Regression Outputs Without the Jargon

Read regression output in a fixed order: identify the outcome variable, interpret the coefficient and its units, assess uncertainty, then check the model’s controls and fit. If a coefficient says prices rose by $2 per unit after an event, ask whether the model accounts for relevant differences such as time, product mix, or input costs. A p-value indicates how compatible the estimate is with a zero effect under the model’s assumptions; it does not tell you the probability that the claim is true. R-squared describes the share of outcome variation explained by the model, not whether the causal story is correct.

•Coefficient: What direction and magnitude does the estimate indicate?
•Uncertainty: How wide is the confidence interval, and is the estimate statistically distinguishable from zero?
•Controls: Which other factors does the model account for, and which may remain unmeasured?
•Fit: Does the model capture useful patterns without being mistaken for proof of causation?

Key Microeconomic Concepts: Elasticity, Market Definition, and the SSNIP Test

Price elasticity measures how strongly quantity demanded responds to a price change. If a small price increase leads customers to switch to substitutes, demand is relatively elastic; if purchases change little, demand is relatively inelastic. Market definition asks which products and locations constrain a firm’s pricing. The SSNIP test considers whether a hypothetical monopolist could profitably impose a small but significant, nontransitory price increase. If enough customers would switch to products outside the proposed market, that market may be too narrow.

The Herfindahl-Hirschman Index (HHI) summarizes market concentration by adding the squared market shares of firms. The DOJ and FTC merger guidelines identify markets with HHI above 1,800, or an increase greater than 100 points, as receiving heightened scrutiny; these are screening benchmarks, not standalone proof of competitive harm. In a case discussion, connect concentration to substitution, entry, and the specific question under review.

Common Econometrics Pitfalls: Omitted Variable Bias, Endogeneity, and How to Discuss Them

Omitted variable bias occurs when a relevant factor is left out and is related to both the explanatory variable and outcome. Endogeneity is the broader problem that an explanatory variable may be correlated with unobserved influences on the outcome, including reverse causality or measurement error. A price and demand relationship may be difficult to interpret if firms set prices in response to demand conditions that the dataset does not capture.

Interview move: Name the limitation, explain its likely direction if you can, then propose a check. You might compare results across time periods, use a suitable control group, or test an alternative specification. Do not claim a bias direction without evidence.

How to Prepare for the Interview: Coding, Structuring, and Practice

Prepare to reason from an economic question to evidence and a conclusion, rather than memorizing a universal framework. You may need to organize a damages estimate, interpret a chart, or explain what additional data would help distinguish competing explanations. Practice stating assumptions aloud and checking units as you calculate. This builds a repeatable method for an economic consulting case interview without relying on legal knowledge or advanced software skills that the prompt may not require.

Should You Expect to Write Stata, R, or Python During the Interview?

Do not assume you will write code live. Interview formats vary by position and team, so review the role description and ask the recruiter what the process includes. Many case exercises focus on quantitative interpretation, calculations, and research design rather than syntax. Familiarity with Stata, R, or Python can help you discuss how you would clean data, run a regression, or check a result if technical work is relevant to the role.

A Hypothesis-Driven Structure That Replaces Generic Frameworks

Build a causal hypothesis tree around the question. Start with the outcome to explain, identify plausible drivers, then select evidence that could separate the explanations. Keep the branches specific to the prompt, and revise them when new facts emerge.

1. Define the outcome: What changed, for whom, and during which period?

2. Set the counterfactual: What comparison could approximate the but-for result?

3. Test mechanisms: Could price, volume, market conditions, or another event explain the difference?

4. Measure and qualify: Estimate the effect, test key assumptions, and state limitations.

Sample prompt: A client says a supplier’s price increase caused lost sales. First clarify the product, timing, and sales measure. Then test whether volume changed relative to a credible comparison and examine other possible causes, such as a demand shift or a competitor’s entry.

Where to Find Realistic Practice (and How to Use CaseTutor for Drills)

Specialized prompts can be harder to find than general business cases, so make each practice session test a distinct skill: interpreting regression output, estimating damages, or defending a counterfactual. CaseTutor offers 75+ real-world-style cases across industries and difficulty levels. Use a case to practice structuring and communicating, then work through a math drill to improve calculation accuracy. Behavioral Interview Practice can support preparation for behavioral questions as well. CaseTutor publicly states that its platform covers behavioral interviews as well as cases.

Expert Tips to Succeed in Your Economic Consulting Case Interview

Your goal is not to sound certain about every estimate. Make your reasoning easy to follow, show how evidence supports your conclusion, and identify what could change it. Treat each answer as a short explanation: state the finding, give the evidence, then note the most important limitation.

Three Mistakes That Derail Candidates, and How to Avoid Them

•Over-explaining the method: Give the calculation or test, then interpret its meaning. Add technical detail only when it changes the conclusion or answers a follow-up.
•Ignoring the story behind the data: A coefficient is not the whole answer. Connect the estimate to the event, affected parties, and economic question in the prompt.
•Freezing when math gets uncomfortable: Pause, write down the known values, label the units, and work one step at a time. If you are unsure, state a reasonable assumption and explain how you would check it.

How to Communicate Econometrics Without Sounding Robotic

Translate technical output into a plain-language claim. Instead of reciting statistics, say what the estimate suggests, how precise it is, and what it cannot establish on its own. For example: “The estimate points to a price increase after the event, but I would check whether input costs changed over the same period before attributing the full difference to the event.” This separates the result from the interpretation. The linked Behavioral Interview Practice can help you rehearse clear spoken answers and refine pacing so explanations stay focused.

Final Check: Your Prep Timeline and Mental Approach

A flexible four-to-six-week plan: In weeks one and two, review core economic concepts and practice explaining quantitative results aloud. In weeks three and four, work through timed cases, then review where your structure, calculations, or interpretation lost clarity. If you have weeks five and six, add mixed practice and repeat the skills that still feel inconsistent.

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Keep a short error log after each session: note the issue, its cause, and one correction to apply next time. On interview day, listen closely, ask focused clarifying questions, and treat unfamiliar information as something to analyze, not a reason to panic. Deliberate practice builds steadier communication without requiring perfect answers.

Frequently Asked Questions

What is an economic consulting case interview?

An economic consulting case interview is a structured exercise in which you use economic reasoning, data, and stated assumptions to answer a client question. Prompts often involve estimating damages, assessing whether conduct affected prices, or explaining what might have happened without an alleged event.

How long does an economic consulting case interview last?

An economic consulting case interview can vary in length depending on the firm, role, and interview format. Check the recruiter’s instructions for the expected schedule, and practice explaining your reasoning clearly whether the exercise is brief or includes extended data analysis.

What are the most common frameworks for economic consulting cases?

Economic consulting cases are best structured around the specific economic question rather than a fixed business framework. For a damages question, define the but-for outcome, identify relevant evidence, estimate the difference from observed results, and explain assumptions and limits.

How should I prepare for an economic consulting case interview?

Preparation for an economic consulting case interview should build skill in structuring questions, doing case math, and explaining conclusions. Practice setting up a counterfactual, checking units, and describing what evidence would support your estimate, while reviewing the job description and recruiter guidance for the interview format.

How much math is involved in an economic consulting case interview?

Economic consulting case interviews can include arithmetic, interpreting data, and explaining quantitative results, with the amount varying by prompt. Focus on showing each calculation in plain language, checking units, and explaining how assumptions affect the estimate rather than relying on unexplained numbers.

How do I explain uncertainty in an economic consulting case interview?

Explain uncertainty in an economic consulting case interview by naming the assumptions and data limits that affect your estimate. State what the calculation suggests, identify evidence that could change it, and distinguish a preliminary model result from a proven or final damages figure.

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The CaseTutor Team builds AI-powered case interview practice for consulting candidates worldwide. 75+ real-world cases, voice-based simulation, and structured feedback across opening, structure, analysis and recommendation. We write practical, no-fluff guides on casing, behavioral prep, consulting math and delivery, so you can improve one deliberate practice session at a time.

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