02/01/2026
INSTRUCTIONAL DISCLAIMER
Although the creator acknowledges that this lesson may have political relevance or policy implications, it is not intended as a political or ideological tool. Its purpose is strictly educational.
This lesson is designed as a civics-integrated mathematics and economics modeling exercise. Students are evaluated on the quality of their quantitative reasoning, the correctness of their mathematics, the clarity and transparency of their assumptions, and the professional use of sources, not on the conclusions they reach.
There is no correct policy answer.
There are only stronger or weaker models.
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TITLE
Mortgage Duration, Inflation, and Risk
A Quantitative Modeling Lesson in Long-Term Debt Structures
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WHO THIS IS FOR
Advanced homeschool and high-school students studying:
Algebra II
Precalculus
Statistics or AP Statistics
Economics or AP Economics
Financial Literacy or Applied Mathematics
This lesson is also appropriate for students learning how to write professional, research-style analytical papers.
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BIG IDEA
Long-term mortgages are not just about monthly payments.
They are about risk over time.
This lesson asks students to model how loan length, interest rates, inflation, wage growth, housing prices, and refinancing constraints interact over decades.
The goal is not to decide whether long mortgages are good or bad, but to determine under what economic conditions different mortgage structures help or harm a typical middle-class borrower.
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LEARNING OBJECTIVES
Students will learn to:
Model amortized loans mathematically
Distinguish nominal interest rates from real interest rates
Incorporate inflation into real-payment analysis
Model wage growth relative to inflation
Analyze duration risk and refinancing risk
Compare equity accumulation across loan terms
Perform scenario analysis and sensitivity analysis
Stress-test their own conclusions
Integrate external research into assumptions
Use professional-style inline references
Separate mathematical analysis from emotional or rhetorical persuasion
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CORE SKILLS BEING ASSESSED
Quantitative modeling discipline
Correct application of formulas and units
Assumption transparency
Ability to test robustness and fragility
Professional documentation of sources
Clear, neutral quantitative communication
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SYSTEMS BEING MODELED
Students will compare three mortgage structures:
System A: 30-year fixed-rate mortgage
System B: 40-year fixed-rate mortgage
System C: 50-year fixed-rate mortgage
Optional extensions (clearly labeled if used):
Refinancing scenario
Adjustable-rate comparison
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BASELINE VALUES
Loan principal: $400,000
Initial home value: $400,000
Down payment, rates, inflation, wages, and growth assumptions are student-defined and must be stated explicitly.
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KEY VOCABULARY
Nominal interest rate
Real interest rate
Inflation
Wage growth
Amortization
Total interest
Equity
Loan-to-value ratio
Duration risk
Refinancing risk
Sensitivity analysis
Scenario analysis
Stress test
Uncertainty
Model limitations
Robustness
Fragility
Conditional conclusion
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WARM-UP MODELING EXERCISE
Loan amount: $100,000
Compare:
Loan A: 30 years
Loan B: 50 years
Students choose reasonable rates such that the longer loan does not have a lower rate.
Students compute:
Monthly payment
Total paid
Total interest
Students write one sentence explaining why total interest can change dramatically even when payments change only modestly.
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REQUIRED STUDENT ASSUMPTIONS
Students must clearly define and justify:
Interest rates for each loan term
Inflation assumption or range
Wage growth relative to inflation
Home price growth assumption
Refinancing assumptions if used
Any fees or transaction costs modeled
All assumptions must be stated before conclusions.
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INTEREST RATE ASSUMPTIONS AND FLEXIBILITY
Students must select nominal interest rates for each mortgage term.
There is no required rate.
Constraints:
1. Longer loan terms must not have lower nominal rates than shorter terms
2. Rate spreads must be justified
3. Rate choices must align with the described macroeconomic environment
Students must include a subsection titled:
INTEREST RATE ASSUMPTIONS AND RATIONALE
This subsection must:
List chosen rates
Explain why the spreads are reasonable
Reference historical behavior, lender risk, or policy context
Acknowledge uncertainty
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MACROECONOMIC ENVIRONMENT ASSUMPTIONS
Students must define one macroeconomic environment consistent with their rate choices.
Examples:
Low-rate, higher-inflation environment
Low-rate, high-inflation with wage lag
Disinflationary, low-growth environment
Stable inflation with real wage growth
Students must specify:
Inflation range
Wage growth relative to inflation
Whether real rates are positive, neutral, or negative
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PART 1: AMORTIZATION MODEL
For each loan structure, compute:
Monthly payment
Total amount paid
Total interest paid
Remaining balance after 5, 10, 20, and 30 years
Results must be shown in a table.
Students must explain:
Why early payments are mostly interest
Why principal reduction accelerates later
Why longer terms slow equity accumulation
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PART 2: EQUITY ACCUMULATION MODEL
Equity = Home value − Remaining loan balance
Students must model home value using their growth assumption.
Compute equity at:
5, 10, 20, and 30 years
Required downside test:
Home value drops 15 percent at year 5
Recalculate equity and loan-to-value
Students interpret risk exposure.
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PART 3: REAL PAYMENT BURDEN UNDER INFLATION
Students must model at least two inflation scenarios.
Compute inflation-adjusted payment burden:
Real payment at year t
= nominal payment ÷ (1 + inflation)^t
Students explain:
How inflation changes real burden
Why fixed-rate debt can benefit from inflation
Why this depends on wage growth and stability
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PART 4: WAGE GROWTH AND AFFORDABILITY
Students model at least two wage scenarios:
Wages track inflation
Wages lag inflation
Compute payment as a percentage of income at:
0, 5, 10, 20, 30 years
Students interpret affordability risk.
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PART 5: REFINANCING MODEL (OPTIONAL)
If included, students must specify:
Refinance year
Refinance rate
Closing costs
Required equity or LTV
Students must explain why refinancing may fail even if rates fall.
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PART 6: DURATION AND RISK ANALYSIS
Students write a quantitative discussion addressing:
Why longer duration increases exposure to uncertainty
Why small assumption errors compound over time
Why slow equity growth increases downside risk
At least two numerical results must be referenced.
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PART 7: SENSITIVITY ANALYSIS
Students must change at least two assumptions and recompute results.
Examples:
Interest rate spreads
Inflation persistence
Wage growth
Home price growth
Refinancing success
Students must state which variable drives outcomes most strongly.
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PART 8: REQUIRED STRESS TEST
Each student must run one adverse scenario that weakens their own conclusion.
Students must explain:
Why the scenario is plausible
How results change
Whether the conclusion survives or becomes conditional
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PART 9: RESEARCH INTEGRATION
Minimum requirements:
At least two references
At least one externally sourced number
Inline citations at point of use
References integrated into math
Students may consult an expert.
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PROFESSIONAL REFERENCE TYPES AND FORMATS
Students must use inline numeric citations and a numbered list.
REFERENCE TYPE A: Government or Official Data
[1] Institution, Dataset or Report Title, Year(s), URL
REFERENCE TYPE B: Academic or Nonpartisan Research
[2] Author(s), Organization, Title, Year, URL
REFERENCE TYPE C: Financial Industry or Market Analysis
[3] Firm or Organization, Title, Year, URL
REFERENCE TYPE D: Professional Financial Journalism
[4] Publication, Article Title, Author, Year, URL
REFERENCE TYPE E: Expert Consultation
[5] Expert Name, Title and Affiliation, Method, Date
REFERENCE TYPE F: Historical or Primary Sources
[6] Institution, Document Title or Description, Year, URL
Rules:
Every externally introduced number must be traceable
Opinion-only sources are not acceptable
References must inform assumptions, not decorate conclusions
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PART 10: MODEL LIMITATIONS AND BIAS
Students must identify at least three limitations and:
One assumption favoring shorter loans
One assumption favoring longer loans
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FINAL WRITTEN ANALYSIS
Length: 900–1,400 words
Prompt:
Using your mathematical models and research, analyze under what economic conditions a 30-year, 40-year, or 50-year mortgage appears more favorable or more risky for a typical middle-class borrower.
Requirements:
At least three numerical results
At least one conditional conclusion
At least two cited references
Neutral, analytical tone
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GRADING RUBRIC (PRIMARY FOCUS)
Mathematical Correctness – 30 points
Correct amortization calculations
Correct inflation adjustments
Correct equity calculations
No unit or logic errors
Model Structure and Transparency – 20 points
Assumptions clearly stated up front
Logical flow from assumptions to results
Tables readable and labeled
Sensitivity and Stress Testing – 20 points
Two assumption changes with recomputation
One adverse stress test against own conclusion
Clear identification of dominant variables
Research Integration and Citation Discipline – 15 points
At least two credible references
Correct reference type and format
Inline citations at point of use
Externally sourced numbers integrated into math
Professional Tone and Analytical Integrity – 15 points
No emotional or political persuasion
Evidence strength matches confidence
Conditional conclusions where appropriate
Uncertainty acknowledged honestly
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EXTRA CREDIT ASSIGNMENT (EXPLICIT)
Model Construction, Divergent Conclusions, and Analytical Legitimacy
PART A: Alternate Model
Build a second internally consistent model leading to a different conclusion.
PART B: Comparison Table
Compare assumptions, results, and conclusions side-by-side.
PART C: Legitimacy Essay (300–500 words)
When multiple reasonable models lead to different conclusions, how can an analyst determine whether a conclusion is legitimate rather than misleading?
Address at least three:
Transparency of assumptions
Sensitivity to changes
Robustness versus fragility
Acknowledgment of uncertainty
Stress testing
Alignment between evidence and confidence
PART D: Professional Standard Statement
Complete:
“A professional quantitative analysis remains legitimate when…”
Extra credit value: up to +10 points.
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END NOTE FOR STUDENTS
This assignment is not about being right.
It is about making assumptions visible, testing them honestly, integrating credible information, and drawing conclusions that match the strength and limits of the evidence.
That is how real analysts work.