Session 1 · Economic Thinking and Scarcity
Principles of Economics and Management I
Master in Applied Mathematics for Economics and Management.
Course Instructor: Paulo Fagandini.
We are going to build economic intuition and vocabulary, useful for anyone heading into banking, insurance and investment. Also, we are going to present the core models of Economics.
This is a 6 ECTS course, with 168 total hours of work. We have 13 weeks (including the midterm), leading to 39 to 42 (if you count the final) hours in class room. This means you are expected to dedicate, along the semester, 126 hours of self study to this course.
Introductory, open access (CC BY):
Formal treatment, for going deeper:
The syllabus maps every session to chapters in all four. Inside the decks, a 📖 note at the foot of a slide tells you exactly which section an example came from, and links straight to it in the free online book. 🔖
Periodic assessment, two in-person written tests:
| Test | Date | Content | Weight |
|---|---|---|---|
| Midterm | 28/10/2026, 18:00, session 7 | Block 1, Microeconomics | 50% |
| Final | 11/01/2027, 16:30 | Block 2, Macroeconomics | 50% |
To pass: at least 10 out of 20, the weighted average rounded to the nearest integer, so a 9.50 average already passes.
The resit is on 29/01/2027 at 13:00, and it is open to everyone, including anyone who took the tests and did not pass. 📅
🧮 Calculator: basic scientific only. Graphing calculators are not allowed.
📵 Devices: earphones, a smartwatch, a smartphone or any electronic device during a test counts as fraud.
The full rules, the reading map and the calendar are (or will soon be) in the syllabus, on the course page. 🔗
| # | Block 1 · Microeconomics | # | Block 2 · Macroeconomics |
|---|---|---|---|
| 1 | Economic thinking and scarcity | 8 | GDP, measurement and growth |
| 2 | Consumer choice | 9 | Unemployment, inflation, labor |
| 3 | Demand and elasticity | 10 | Money, banking and inflation |
| 4 | Production, costs, market structures | 11 | Monetary policy |
| 5 | Market equilibrium and taxes | 12 | Fiscal policy |
| 6 | Uncertainty, risk and information | 13 | The open economy |
Session 7 is the midterm, so there is no session 7 deck. One theme per session, and every part of every session ends in exercises. 🧩
Scarcity forces choices. Everything today answers one of two questions about them.
Part 0 · What is economics? The subject, its two levels, and the difference between describing and prescribing.
Part 1 · How does one agent choose? Surplus, opportunity cost, sunk costs, and choosing at the margin.
Part 2 · How does a whole society choose? Specialization, the production possibilities frontier, and why its shape is the same opportunity cost, scaled up.
We follow a constructivist approach in each of the major modules. 🧱
You only have 24 hours in a day.
You want to study, sleep, work, see your friends, train.
Does it all fit?
No. You have to choose.
That feeling, of having to choose, is where economics starts. 👇
If you could have everything you wanted, there would be nothing to decide.
Scarcity: human wants for goods, services and resources exceed what is available.
Resources (labor, time, land, raw materials) exist in limited quantity. Wants, on the other hand, look unlimited.
Time is the purest example of scarcity.
Rich or poor, everyone has exactly 24 hours a day.
Every hour spent studying is an hour not spent sleeping. Scarcity forces a choice, always.
So we arrive at what economics really is:
Economics: the study of how people make decisions under scarcity.
Decisions by individuals, households, firms, society. It is about choice.
Economics looks at the world at two scales:
🔎 Microeconomics: the decisions of individual agents. A household, a firm, a specific market.
🌍 Macroeconomics: the economy as a whole. Growth, unemployment, inflation, the aggregate.
| Microeconomics | Macroeconomics | |
|---|---|---|
| Looks at | Agents and markets | The whole economy |
| Examples | The price of bread, wages in a sector | GDP, inflation, unemployment |
| Typical question | How much does this firm produce? | Is the country growing this year? |
In this course we start with micro (Block 1) and move up to macro (Block 2). 🧗
Two ways of stating something in economics:
📏 Positive: describes what is, and can be tested. “Raising VAT reduces sales.”
⚖️ Normative: says what ought to be, and involves value judgments. “VAT should be cut.”
A good economist always keeps the two apart. Most of this course is positive.
Scarcity means every choice gives something up. So the subject reduces to two questions:
Who is choosing? One person, one firm, one investor, deciding one thing. That is Part 1, and it is micro.
And when it is everyone at once? A whole economy, allocating all its resources between competing uses. That is Part 2.
Part 2 is the same problem, with more people in it. 👇
Scarcity exists because:
A. Governments manage resources badly.
B. Wants exceed available resources.
C. There is not enough money in the economy.
D. There is too much specialization.
✅ B. Scarcity is wants exceeding resources. It would exist even in a society without money.
Which of the following is a positive statement?
A. The government ought to subsidize public transport.
B. Inflation is too high.
C. Reducing unemployment matters more than reducing inflation.
D. A 10% rise in the price of tobacco reduces consumption by about 4%.
✅ D. Only D claims something about what is, and the claim can be checked against data. A and C carry an explicit “ought” and an explicit ranking. B looks factual but hides a value judgment in the word too: how high is too high is not something data can settle.
A city council is deciding whether to close a downtown street to cars and make it a pedestrian zone.
a) Name the scarce resource at the heart of this decision.
b) Classify each statement as positive or normative: (i) “Pedestrianizing the street would cut retail deliveries by 12%”; (ii) “The council should put residents ahead of drivers”; (iii) “The scheme costs 4 million euros.”
c) Is this a micro or a macro question? One line of justification.
a) The street itself: a fixed quantity of space with competing uses (cars, pedestrians, deliveries, parking). Space is scarce in exactly the sense of this part, and no amount of money makes the street wider.
b) (i) positive, a testable claim about what would happen. (ii) normative: “should”, plus a ranking of whose interests count. (iii) positive, a number that can be checked against the accounts.
c) Micro. One agent, one decision, one small market for one piece of space. The macro version would ask about output or employment in the whole economy, not in one street.
A €10 note is for sale. What is the most you would hand over for it? 🤔
€11? No. You would be down €1 the moment you paid. ❌
€9.99? Yes, and you would be one cent better off. ✅
Willingness to pay, or reservation price: the most you would pay, the point where buying and not buying feel the same. Here it is exactly €10.
Every choice has a benefit \(B\), what it is worth to you, and a cost \(C\), what you hand over.
\[S = B - C\]
Surplus: what the choice leaves you with once you have paid for it.
Buy the note at €9.99 and \(S = 0.01\). Pay €11 and \(S = -1\). Act only while \(S > 0\).
That exercise turned “is this worth doing?” into a number.
One option, one scalar. And two options can be compared, because scalars can.
📎 Keep the object in mind. In session 3 we compute this same number for every buyer in a market and add them up, and the sum becomes an area under the demand curve. Same quantity, aggregated. 🔁
Scarcity, again: taking one means giving up the other.
Option 1 leaves you \(B_1 - C_1\). Option 2 leaves you \(B_2 - C_2\).
Being rational means one thing here: take the option with the larger surplus.
So you take option 1 exactly when \[B_1 - C_1 > B_2 - C_2\]
Move \(C_1\) across, and change nothing else:
\[B_1 - C_1 > B_2 - C_2 \qquad \Longleftrightarrow \qquad B_1 > \underbrace{C_1 + (B_2 - C_2)}_{\text{opportunity cost of option 1}}\]
Read the right hand side. What option 1 truly costs is what you pay for it, plus the surplus you gave up by not taking the best alternative.
Opportunity cost: your own cost, plus the surplus of the best alternative you turned down.
So the whole rule is benefit > opportunity cost, and it holds for exactly one option: the best one.
Your summer: a paid internship, or a summer school costing €1,200.
| Option | Benefit | Cost | Surplus |
|---|---|---|---|
| Internship | 2,000 | 0 | 2,000 |
| Summer school | 3,000 | 1,200 | 1,800 |
Internship: opportunity cost \(= 0 + 1800 = 1800\), and \(2000 > 1800\). Rational. ✅
Summer school: opportunity cost \(= 1200 + 2000 = 3200\), and \(3000 < 3200\). Not rational. ❌
Note the summer school has the larger benefit and still loses.
There is no free lunch. 🍽️
An hour of studying is an hour you are neither working nor resting.
A thousand euros in a deposit account is a thousand euros not invested elsewhere. At 3% a year, keeping it there rather than in the alternative costs €30 a year, whether or not anyone sends you a bill. 💸
This is why accounting cost and economic cost differ. The accountant records what was paid; the economist adds what was forgone.
You have already spent €8 on a cinema ticket. Halfway through, you realize you hate the film.
Stay or leave?
The €8 is not coming back, whatever you do.
Sunk cost: a cost already incurred and unrecoverable.
The rational decision: ignore the sunk cost, look only at the future. If you hate the film, leave. 🎬
This is a property of the maximization.
At the interval the choice is over what happens next, and the €8 sits in every branch:
\[\max_{a \,\in\, \{\text{stay},\, \text{leave}\}} \; \big[\, B(a) - C(a) - 8 \,\big]\]
An additive constant does not move an argmax:
\[\arg\max_{a} \big[\, f(a) - k \,\big] \;=\; \arg\max_{a} f(a)\]
So the ticket price cannot change the decision. 🎟️
Big decisions are rarely “all or nothing”. They are “a bit more or a bit less”.
You do not decide “study or do not study”. You decide whether one more hour is worth it.
You compare the marginal benefit of that hour with its marginal cost.
The golden rule: keep doing something as long as the marginal benefit is greater than the marginal cost.
Let \(B(q)\) be the total benefit of doing \(q\) and \(C(q)\) the total cost. The problem is
\[\max_{q} \; B(q) - C(q)\]
Differentiating and setting to zero: \(B'(q) = C'(q)\).
That is, MB = MC. The “golden rule” of economics is the first order condition you already know.
MB falls, MC rises, and they cross at q* = 4 hours.
Both halves of this part are the same problem, \(\max_{x \in X} \; B(x) - C(x)\), read at two resolutions:
| Choice set \(X\) | Optimality condition | |
|---|---|---|
| Which one? | \(\{1, 2\}\), discrete | \(B_1 - C_1 \;\ge\; B_2 - C_2\) |
| How much? | an interval, continuous | \(B'(q) = C'(q)\) |
The discrete condition compares totals, in euros. The continuous one compares marginals, in euros per hour. On an interval the rival to \(q\) is \(q + \Delta q\): divide the surplus difference by \(\Delta q\), then let \(\Delta q \to 0\), and the comparison becomes \(B'(q)\) against \(C'(q)\).
An incentive is anything that shifts \(MB\) or \(MC\). Shift either curve and \(q^{*}\) moves, because \(q^{*}\) is defined by where they cross.
Fuel duty rises: the \(MC\) of driving shifts up, the crossing moves left. People drive less and buy more efficient cars. 🚗
A scholarship tied to grades raises the \(MB\) of study: the crossing moves right. 🎓
Predicting behavior is comparative statics on that crossing.
You may take option 1 or option 2, never both, and option 1 is the rational choice. The opportunity cost of option 1 is:
A. The cost \(C_1\) you actually pay for it.
B. The benefit \(B_2\) of the option you turned down.
C. The surplus \(B_2 - C_2\) you gave up.
D. \(C_1 + (B_2 - C_2)\): what you pay, plus the surplus you gave up.
✅ D. Rationality is \(B_1 - C_1 > B_2 - C_2\), which is \(B_1 > C_1 + (B_2 - C_2)\). Option C is only the implicit half; the money you hand over is a cost too.
The sunk cost of a decision:
A. Should weigh heavily in the decision.
B. Is irrelevant to the rational decision.
C. Is the same thing as opportunity cost.
D. Grows over time.
✅ B. It is no longer recoverable, so it enters every branch of the problem as the same constant, and constants do not move an argmax. Only benefits and costs still ahead of you count.
Studying \(q\) hours brings a total benefit \(B(q) = 90q - 7.5q^{2}\) and carries a total cost \(C(q) = 30q + 7.5q^{2}\) (euros, \(q\) in hours).
a) Derive the marginal benefit and the marginal cost.
b) Find the optimal number of hours \(q^{*}\).
c) What net benefit does the student get at \(q^{*}\)?
a) Differentiate the totals: \[MB(q) = B'(q) = 90 - 15q, \qquad MC(q) = C'(q) = 30 + 15q\]
b) Set \(MB = MC\): \(90 - 15q = 30 + 15q \Rightarrow 60 = 30q \Rightarrow q^{*} = 2\) hours, where \(MB = MC = 60\) euros per hour.
c) \(B(2) - C(2) = (180 - 30) - (60 + 30) = 150 - 90 = 60\) euros. It really is a maximum: \(B'' - C'' = -15 - 15 < 0\). ✅
Part 1 gave one agent a rule. Now put many of them in the same economy.
Imagine having to grow your own wheat, build your own house and repair your own phone. Impossible.
Nobody lives like that. Why not? Adam Smith’s answer (1776): the division of labor. 🏭
Smith observed a pin factory. Making a pin involves about 18 distinct tasks.
One worker alone: maybe 20 pins a day.
Ten workers, each specialized in one task: 48,000 pins a day. 🤯
That is 4,800 per worker, against 20. How?
Smith gave three reasons:
If I specialize in just one thing, how do I get everything else?
I trade. I use what I earn from my work to buy what others have produced.
Specialization and the market always come together. You cannot build a phone, but you can buy one. 📱
Smith’s own limit: the division of labor is limited by the extent of the market. A specialist needs enough buyers to be worth being a specialist. 📏
Smith says specialization raises output. He does not say who should do which job.
Suppose two people can each do both jobs. How do we assign them?
The answer is Part 1, applied to production. Putting someone on a job costs the output they would have produced elsewhere: an opportunity cost.
So the rule is: give a job to whoever gives up least to do it. 👇
Ana and Bruno each work a full day, on bread 🍞 or software 💻:
| Worker | Bread only | Software only | Opportunity cost of 1 software |
|---|---|---|---|
| Ana | 12 | 6 | 2 bread |
| Bruno | 6 | 4 | 1.5 bread |
Ana is better at both jobs: 12 against 6, and 6 against 4. She has the absolute advantage everywhere.
And yet Bruno should write the software, because he gives up only 1.5 loaves for each unit while Ana gives up 2. Lower opportunity cost, so he goes first.
Comparative advantage: producing something at a lower opportunity cost than someone else.
Both on bread: 18 loaves. Both on software: 10 units. In between, Bruno switches first.
Efficiency has an order: put the cheapest producer on the job first.
Up to 4 units of software, Bruno does it, and each costs 1.5 loaves. That is the flat stretch.
Past 4, Bruno is fully occupied and only Ana is left. Each further unit now costs 2 loaves. The line gets steeper.
So the frontier bends because the cheap capacity runs out first. 📐
Two producers gave one kink. A hundred give ninety-nine, and the corners vanish.
Production possibilities frontier (PPF): what an economy can produce with all its resources fully and efficiently used.
🔵 On the curve (A): all resources are used. This is efficient.
🔴 Inside the curve (B): waste, idle resources. This is inefficient.
🟢 Outside the curve (C): desirable, but unattainable with today’s resources and technology.
Keep the two words apart: inside is a waste, outside is a limit.
Write the frontier as \(y = f(x)\), with \(x\) units of software and \(y\) of bread. Its slope is the economy’s exchange rate between the two:
\[MRT(x) \;=\; -\,\frac{\mathrm{d}y}{\mathrm{d}x}\]
Marginal rate of transformation: how much \(y\) the economy must give up to get one more unit of \(x\).
Which is to say: the opportunity cost of software, measured in bread, for a whole economy. On the kinked frontier the \(MRT\) was 1.5, then 2. 🔁
On the kinked frontier the \(MRT\) jumped once. On a smooth one it rises continuously, and that is exactly what concavity means:
\[\frac{\mathrm{d}\,MRT}{\mathrm{d}x} > 0 \quad \Longleftrightarrow \quad \frac{\mathrm{d}^{2} y}{\mathrm{d}x^{2}} < 0 \quad \Longleftrightarrow \quad f \text{ concave}\]
The economics is the kink argument with more producers: resources are not equally suited to the two uses, and the best suited are moved first. Each further unit costs more than the last.
A straight frontier would say every resource is equally good at both jobs, so the order of switching would not matter.
How do we get to point C, unattainable today?
With more resources (more workers, more machines) or better technology.
Economic growth shifts the frontier outward. That is the subject of Block 2. 🌱
Ana and Bruno were two workers. Replace them with two countries and not one step of the argument changes.
The country with the lower opportunity cost in a good has the comparative advantage in it, and should produce it. Ana was better at everything in absolute terms, and Bruno still wrote the software. 🌐
That is the basis of international trade. And what a country gains by doing it can be read straight off the frontier we just drew. 👇
scarcity → opportunity cost → comparative advantage → specialization → exchange. ⛓️
Growth moved the frontier itself, and it needed new machines or new technology.
The harder question: with today’s resources and today’s technology, can a country consume a bundle its own frontier puts out of reach?
Yes, if it can trade. 🤝
The frontier limits what a country can produce. What it consumes is a separate question the moment there is somebody on the other side of a trade.
Back to point A: the economy makes 6 units of software and 8 thousand loaves. Suppose the world market swaps 3 thousand loaves for every 4 units of software, a price this small economy takes as given.
Each unit sold brings 0.75 back, the first and the last alike, so the bundles A opens up lie on a straight line through it.
Sell all 6 units of software and you hold 12.5 thousand loaves, where producing bread yourself stops at 10. The other corner: 16.7 units of software against 10.
Production never left the frontier. It is consumption that moved out to the line, and the shaded region between the two is the gains from trade.
No country is forced to trade at the price it faces.
Point A sits on the line, at zero trade (autarky). Whatever the price, the bundle the economy produced is still available to it. ✅
And the frontier is concave, so the tangent line lies weakly above it everywhere: no bundle that was attainable before the price existed becomes unattainable now.
Why produce at A? Where the frontier is flatter than the price line, a unit of software costs the economy less bread than the market pays for it, so it should make more. That stops exactly where \(MRT\) equals the price ratio, which is where the line is tangent. 🎯
Producing at A while consuming elsewhere on the line is specialization and exchange, drawn. Where the price comes from, and how two countries split these gains, is session 13. 🔁
A point inside the Production Possibilities Frontier represents:
A. An efficient combination.
B. An unattainable combination.
C. A combination with wasted resources.
D. Economic growth.
✅ C. Inside the frontier there are idle resources: inefficient production.
Ana produces more of both goods per day than Bruno. It follows that:
A. Ana should produce both goods, and Bruno neither.
B. There is nothing to gain from letting Bruno produce anything.
C. Ana has the comparative advantage in both goods.
D. Who produces what still depends on the opportunity costs, which these figures alone do not give.
✅ D. Absolute advantage compares output levels; comparative advantage compares what each gives up. Ana was better at both and still handed the software to Bruno, because he sacrificed less bread for it. C is impossible: the two opportunity costs are reciprocals, so nobody can be lower in both.
An economy’s frontier is \[y = 100 - \tfrac{1}{4}x^{2}, \qquad 0 \le x \le 20\] with \(x\) units of software and \(y\) tonnes of bread.
a) How much bread at \(x = 0\)? And at \(x = 8\)?
b) Obtain the marginal rate of transformation \(MRT(x)\).
c) Roughly what does the 8th unit of software cost? And the 16th?
d) Is the frontier concave? Say what that means in economic terms.
a) \(y(0) = 100\) tonnes. \(y(8) = 100 - 64/4 = 84\) tonnes.
b) \(MRT(x) = -\,\mathrm{d}y/\mathrm{d}x = x/2\).
c) \(MRT(8) = 4\) tonnes, \(MRT(16) = 8\) tonnes. The 16th unit costs twice as much bread as the 8th. 📈
d) \(y'' = -1/2 < 0\), so yes, and equivalently \(MRT' = 1/2 > 0\). Economically: resources are not equally suited to both uses, so the ones moved into software first are those least productive in bread, and every further unit costs more than the last. ✅
⚖️ Scarcity means resources are limited and wants are not, so every choice gives something up.
💰 Surplus \(B - C\) turns “is this worth doing?” into one number, and that is what makes options comparable.
💶 Opportunity cost is what you pay plus the surplus you forgo, so the rule is benefit above opportunity cost.
➕ Choices are marginal: \(MB = MC\) is the first order condition of \(\max B(q) - C(q)\), and sunk costs drop out because constants do not move an argmax.
📐 The PPF is that logic for a whole economy. Its slope is the MRT, and it is concave because the best suited resources are used first.
🌍 Differences in opportunity cost are comparative advantage, which is why we specialize and exchange. Session 13 turns it into trade.
Consumer Choice.
Today we compared surplus across a handful of options. Next we do it properly:
See you next week. 🙌