Lecture 1: Introduction to 14.02 Principles of Macroeconomics

Main ideas / concepts introduced

What macroeconomics studies (vs. microeconomics)

• Microeconomics (1401) focuses on small units, such as:
  • Households
  • Firms and industries
  • Individual prices
• Macroeconomics (14.02) focuses on the whole economy, such as:
  • Countries/regions as a whole (e.g., US vs. China)
  • Inflation, meaning the overall rate of change of all (or most) prices
  • Unemployment rates, describing how high/low unemployment is overall (not whether a specific worker is employed)
  • Exchange rates, meaning relative prices of currencies (not relative prices of individual goods)

Why macro is not just “lots of micro added up”

• Even though economies are made of individuals, building macro outcomes directly from micro behavior becomes incredibly complex.
• Macro often requires shortcuts, “tricks,” and equilibrium/interaction effects, rather than purely micro-level modeling.
• The course emphasizes simple models that capture the essence of major macro relationships, using non-complex math (even if some concepts may be complex).

Course goal: practical interpretation

By the end, students should be able to:

• Read documents like the IMF World Economic Outlook (tables, projections; little/no equations)
• Read and critique major news outlets (e.g., Wall Street Journal, Financial Times, The Economist)
• Understand enough to reason about macro events—especially useful for finance/trading

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Structure and teaching approach (methodology/instructions)

Scheduling / lecture format

• The instructor states the first proper lecture is on Wednesday.
• Typical lectures include:
  • 5–10 minutes at the beginning (after students have the needed tools)
  • Discussion of current events or a relevant new item received that morning
  • Revisiting the same topics 3–4 times as new tools build up, increasing understanding each time

Simplified modeling approach

• The course is not a PhD-level math course.
• Uses models to explain macroeconomic facts (including earlier-discussed topics).
• Math will be kept very simple, despite reliance on models.

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Macro “rule of the game” content: the COVID-to-inflation-to-policy storyline

1) Two key macro facts presented with intuition/graphics

Wage growth ↔ inflation connection

• A chart shows wage growth (worker compensation) and inflation moving together (high correlation).
• Implication: when wage growth is high, inflation tends to be high.

Unemployment behavior across recessions

• A chart indicates unemployment tends to rise in recessions.
• Examples:
  • Great Recession (linked to the Global Financial Crisis)
    • Unemployment rises sharply and remains high for a long time.
  • COVID recession
    • Unemployment spikes, but recovers faster than after the Great Recession.
• At the time of the lecture:
  • US unemployment is at historically low levels
  • Wage growth is very fast, especially in accommodation and food services

2) The “good news” is actually a macro problem

• In micro terms: low unemployment + rising wages sounds good.
• In macro terms: rising wages matter because they relate to inflation, which is already too high.

3) Inflation levels and why they matter

Normal target / benchmark

• Large-economy “normal” inflation is cited as ~2% (central bank target).

Current inflation

• Inflation is described as roughly 6.5% to 8% (above target).
• It has started declining from its peak, but remains high.

Central banks’ main tool

• The main tool discussed for controlling inflation is the interest rate:
  • Lower interest rates → economy expands (consumption up, investment up)
  • Higher interest rates → economy cools (borrowing/mortgage costs rise; consumption/investment fall)
• Interest rate path:
  • Fell near zero during COVID (limited downside from the zero lower bound)
  • Rose rapidly later when inflation picked up (central banks initially “behind the curve”)

4) How monetary policy affects financial markets (added finance link)

Equities respond strongly to interest rates

• The instructor references behavior of the S&P 500:
  • COVID shock caused a sharp decline (market anticipated bad news)
  • Then a large boom occurred even though real activity remained below pre-COVID levels
• The explanation emphasized: the boom is largely driven by monetary policy / interest-rate effects (asset prices rise when money is loose).
• When interest rates increased, equity values fell again; the instructor cites declines of ~20% or more in major markets.

Example: payroll surprise and stock market reaction

• A Friday (the instructor says “last week”) non-farm payroll release:
  • Expectations: roughly 190,000 job gains
  • Actual: over 500,000
  • Interpreted economically as strong labor (“good news”)
• Yet equities dropped sharply immediately.
• Explanation offered:
  • Strong employment tightens labor conditions → reinforces expectations of higher continued inflation
  • That implies the central bank (e.g., the Fed) must raise/keep rates high longer, or hike more than expected
  • Markets are forward-looking: they re-price expectations about future interest rates, which can push stocks down

5) Recession expectations

• Forecasts from professional forecasters are mentioned:
  • More than half predict about a 65% probability of a US recession within the year
• Reason given:
  • The Fed is trying to fight inflation, and higher rates may eventually “break something.”

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International dimension: US-like inflation dynamics elsewhere + China exception

General synchronization across countries

The instructor describes broadly similar global patterns:

1. Post-COVID recovery shocks / high unemployment, then employment changes
2. Inflation fell, then rose sharply
3. Countries now worry about high inflation

Additional context mentioned:

• After the Great Recession era, 70–80% of economies had inflation at or below ~2%
• At the time of the lecture, the instructor says:
  • No country is below 2%, including Japan

Europe’s different marginal driver

• Europe’s more recent inflation is attributed to the war in Ukraine, which raised energy prices.
• Still, the underlying common storyline is described as overheating after COVID and the subsequent policy response.

China as a major “not part of it” exception

Key points described:

• Zero-COVID policy:
  • Suppressed growth by shutting down parts of the economy for a long time
  • Also contributed to global inflation through disrupted production networks
• Growth slowed to about ~3% or less (noted as less transparent)
• Policy change:
  • Ending/altering zero-COVID creates expectations of a major growth bounce
• Global spillovers:
  • A concept is shown: a 1% increase in China’s growth increases growth elsewhere
  • Latin America benefits strongly because China consumes many commodities used for construction/industry
• Potential downside:
  • Even if it boosts global activity, it may be “too much of a good thing” for countries already trying to reduce inflation via weaker demand

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Core lessons emphasized

• Macro requires systems thinking: wages, unemployment, and inflation are linked; policy affects the whole economy.
• Central banks control inflation mainly via interest rates, cooling demand and shifting expectations.
• Financial markets move quickly because they are forward-looking, re-pricing expected inflation and interest-rate paths.
• The macro environment is global, but country-specific drivers matter (e.g., Europe’s energy shock; China as a special case).

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Speakers / sources

Speaker

• Instructor / lecturer (unnamed in the subtitles)

Sources / institutions referenced

• IMF (International Monetary Fund) — World Economic Outlook
• Goldman Sachs (referenced as a likely source of a chart)
• Central banks / “the Fed” (Federal Reserve) — discussed as a policy actor
• World financial media: Wall Street Journal, Financial Times, The Economist
• Companies / sectors referenced (examples): Amazon, Tesla, accommodation and food service sectors
• Equity index referenced: S&P 500 (also mentions Nasdaq and Dow)
• Economic events referenced:
  • Great Recession / Global Financial Crisis
  • Great Depression
  • COVID recession
  • War in Ukraine
• Economic data referenced: non-farm payrolls / employment numbers (US)