Macroeconomic Indicators Concept Card Template
GDP identity, real vs nominal, CPI and PCE, unemployment, PMI, yield curve, Taylor rule example, official data sources, release reading routine
How to use: Use it when a demand plan, financing decision or case depends on the business cycle, inflation or interest rates. Fill the data vintage and work through the Avelin examples with the Excel formulas first. The main pitfall is reading nominal growth or one monthly print as a real trend.
Preview
Macroeconomic Indicators Concept Card: [Your course, market or decision]
A concept card for the macroeconomic indicators a manager reads every month: gross domestic product (GDP) and its expenditure identity, real versus nominal values, CPI and PCE inflation, unemployment and participation, purchasing managers' indexes (PMI), the yield curve and the term spread, and the Taylor rule (Taylor 1993) as a benchmark for central bank policy. It is for MBA students in a core macroeconomics or global economy course and for managers who must turn a data release into a planning decision. It shows where the official data live and how to read a release without over-reacting to one number. Source basis: Taylor (1993), Fisher (1930), Okun (1962), Estrella and Hardouvelis (1991), the System of National Accounts, and the statistical agencies' own methodology pages, all written up in original words. Every worked example uses the fictional Republic of Avelin (currency AVL) and the fictional Northfield Outdoor Co.; nothing here is a forecast or investment advice. Replace every [bracketed] value and every row marked Example.
Document control
| Field | Value |
|---|---|
| Document ID | MAC-[INITIALS]-001 |
| Course or decision | [Global economy core course / Northfield demand plan FY27] |
| Learner or analyst | [Your name] |
| Economy or economies covered | [Republic of Avelin (fictional) / United States / euro area] |
| Data vintage | [Release name and date for each series, e.g. GDP second estimate, YYYY-MM-DD] |
| Software | [Excel / Google Sheets / Python] |
| Version | [0.1] |
| Last updated | YYYY-MM-DD |
| Reviewed by | [Study group member / instructor] |
When to use it
Use this card when a decision depends on the business cycle, inflation or interest rates and you need to read the official numbers rather than headlines. Typical MBA and management situations:
- Demand planning. Northfield Outdoor Co. sets its store and e-commerce inventory plan for the next season. Real consumption growth, the unemployment rate and consumer price inflation shape the volume and price assumptions.
- Cost of capital and financing. A rising policy rate or an inverted yield curve changes the discount rate in a
DCF (see
mba/mba-capm-wacc-cardandmba/mba-dcf-valuation-card) and the timing of a bond issue or a loan. - Pricing and wage setting. Inflation measures feed list prices, supplier contracts with indexation clauses and pay rounds.
- Market entry and country risk. A country research brief for a global immersion trip or an entry decision
(
mba/mba-global-immersion-plan) starts with GDP, inflation, unemployment and the exchange rate. - Case discussions. Global economy cases ask you to diagnose where an economy is in its cycle and what the central bank is likely to do next.
| Use the indicator when | Do not use it when |
|---|---|
| You need the level or trend of activity, prices or labour market slack | You need a firm-level forecast; macro aggregates explain only part of one company's sales |
| You compare economies on a consistent statistical basis (same concept, same year) | The series differ in definition (CPI versus HICP versus PCE) and you have not adjusted |
| You read the trend over several releases | You react to one monthly print that is within normal revision noise |
| You use a rule (Taylor) as a benchmark for a policy discussion | You treat a rule as a forecast of the next rate decision |
The idea in plain language
An economy can be described with four questions. How much is it producing? GDP measures the market value of final goods and services produced in a period. Are prices rising? Inflation measures the change in a price index. Are people who want work finding it? The unemployment rate measures slack in the labour market. How tight is money? The policy rate set by the central bank and the yield curve set by markets measure the price of credit now and the expected path ahead.
GDP can be measured three ways that should give the same answer: spending on final output (expenditure approach), value added by producers (production approach) and incomes earned (income approach). The expenditure approach is the one managers use most, because each component maps to a type of customer: households (consumption), businesses (investment), government (government purchases) and foreigners (exports, less imports).
Nominal values are measured at current prices; real values remove price changes so that growth reflects volume. If nominal GDP grows 3.5% and prices grow 3.0%, the economy produced only about 0.5% more. Reporting nominal growth as if it were real is the most common error in business writing about the economy.
Leading, coincident and lagging indicators. PMIs and the yield curve tend to move before activity (leading); GDP and payroll employment move with it (coincident); the unemployment rate and core inflation often turn after it (lagging). The classification is a tendency, not a law: the term spread has given false or very early signals.
Policy benchmark. The Taylor rule (Taylor 1993) says a central bank that targets 2% inflation should set its nominal policy rate at a neutral real rate plus inflation, raised further when inflation is above target and when output is above potential. It is a yardstick for discussion: central banks do not follow it mechanically.
Formulas and notation
GDP expenditure identity (an accounting identity, true by definition):
Real GDP and the GDP deflator (base year deflator = 100):
Fixed-basket (Laspeyres-type) price index with base-period quantities :
Labour market (labour force ):
Fisher relation (Fisher 1930), exact and approximate:
Annualising a quarterly growth rate (the convention used for US GDP headlines):
Diffusion index (each PMI sub-index) and the composite:
Taylor rule (Taylor 1993 used , and weights of 0.5):
Term spread:
| Symbol | Meaning |
|---|---|
| GDP (nominal unless marked real) | |
| Household consumption, gross private investment (including inventory change), government purchases | |
| Exports, imports; is net exports | |
| GDP deflator in period t (base year = 100) | |
| Nominal and real growth rates | |
| Price of item k in period t; base-period quantity of item k | |
| Actual inflation (Taylor 1993: previous four quarters), expected inflation, inflation target | |
| Employed, unemployed (ILO definitions) | |
| Unemployment rate | |
| Nominal and real interest rate | |
| Neutral (equilibrium) real policy rate, unobserved and estimated | |
| Output gap: percent deviation of real GDP from potential | |
| Quarter-on-quarter growth, annualised growth | |
| Diffusion index (50 = no change on balance) | |
| 10-year and 3-month government yields |
Assumptions and limits
- GDP is an estimate and gets revised. First (advance or flash) estimates rest on incomplete data; later estimates and annual updates can move growth by several tenths of a point. Record the vintage.
- GDP measures market production, not welfare. It omits household production and leisure and says nothing about distribution or depletion of natural capital.
- The identity is not a theory. holds by construction, so it cannot tell you that cutting imports raises GDP: imports are subtracted because they are already counted in C, I and G.
- Price indexes differ. CPI (consumer basket, out-of-pocket spending), the PCE price index (broader scope, including spending made on behalf of households, with weights that update each period) and the euro area HICP measure related but different things. Fixed-basket indexes overstate the cost of living when consumers substitute away from items whose prices rise.
- Unemployment can fall for the wrong reason. People who stop looking leave the labour force; the rate falls while participation falls too. Read both.
- PMIs are opinion surveys. They measure the breadth of change (how many firms report higher), not the size. A PMI of 52 does not mean output grew 2%.
- The neutral rate and potential output are not observed. A Taylor rule result can move by a full percentage point when either estimate changes; show a range, not a point.
- The yield curve mixes expectations and term premium. An inversion reflects expected rate cuts and a changed term premium; its record as a recession signal is good in US data but not perfect, and lead times vary widely.
Where the official data live
| Data | Producer and page (checked 2026-10-28) | What to look for |
|---|---|---|
| US GDP, PCE price index, personal income | U.S. Bureau of Economic Analysis (BEA), bea.gov/data/gdp/gross-domestic-product | Advance, second and third estimates each quarter; growth shown at a seasonally adjusted annual rate. As of October 2026 the latest release on that page was the third estimate for Q2 2026 (30 September 2026), with the next release due 29 October 2026 |
| US CPI, employment and unemployment | U.S. Bureau of Labor Statistics (BLS), bls.gov (CPI; Employment Situation) | CPI monthly; Employment Situation combines the household survey (unemployment rate) and the establishment survey (payrolls) |
| One place for thousands of series | Federal Reserve Bank of St. Louis, FRED, fred.stlouisfed.org | Series IDs such as GDPC1 (real GDP), CPIAUCSL (CPI), PCEPILFE (core PCE prices), UNRATE, T10Y3M (10-year minus 3-month Treasury, confirmed on FRED 2026-10-28), T10Y2Y; always note the vintage (ALFRED keeps past vintages) |
| US policy framework | Federal Reserve Board, federalreserve.gov, Statement on Longer-Run Goals and Monetary Policy Strategy | The 2025 revision (effective 22 August 2025, reaffirmed effective 27 January 2026) keeps 2% inflation measured by the annual change in the PCE price index |
| Euro area and EU statistics | Eurostat, ec.europa.eu/eurostat | GDP flash and regular estimates (quarter-on-quarter, not annualised), HICP flash estimate, unemployment |
| Euro area monetary and financial data | European Central Bank (ECB), ecb.europa.eu and the ECB Data Portal, data.ecb.europa.eu | Policy rates, yield curves, monetary aggregates. ECB strategy assessment of 30 June 2025 kept the symmetric 2% HICP target over the medium term |
| Cross-country forecasts | International Monetary Fund, World Economic Outlook (WEO), imf.org/en/publications/weo | Published in April and October with updates in between; the October 2026 WEO was published on 13 October 2026 |
| Long-run development data | World Bank, World Development Indicators, data.worldbank.org | Annual GDP per capita, PPP-adjusted series, population, trade shares |
| PMIs | Institute for Supply Management (ISM) for US manufacturing and services; S&P Global for many other economies | Release on or near the first business days of the month; the headline is a diffusion index |
Check each page before you rely on it: release calendars move, and agencies rename series and pages.
How to read a release
- Concept and units. Real or nominal? Seasonally adjusted? Level, change or rate?
- Basis. US GDP growth is annualised; euro area GDP is reported quarter-on-quarter. A 0.5% euro area quarter is about 2.0% annualised. Inflation headlines are usually year-on-year.
- Surprise. Compare with the median forecast in a consensus survey and with the previous release. Markets move on the surprise, not the level.
- Composition. Was GDP growth driven by inventories (often reversed next quarter) or by final sales? Did core inflation (excluding food and energy) move, or only the headline?
- Revisions. A strong month with a downward revision to the previous two can mean less than it seems.
- Implication. Translate it into one statement for your plan: "Real consumption is growing about 1% a year, so hold volume growth near 1% in the base case."
| Release Example | Period | Vintage | Headline | Basis | Consensus | Surprise | What changes for us |
|---|---|---|---|---|---|---|---|
| Avelin GDP (Example) | Q2 | Second estimate, YYYY-MM-DD | 0.5% | q/q, real | 0.4% | +0.1 pt | Nothing; within revision noise |
| Avelin CPI (Example) | September | First release | 3.2% | y/y | 3.0% | +0.2 pt | Raise cost inflation assumption in supplier talks |
| [Series] | [ ] | [ ] | [ ] | [ ] | [ ] | [ ] | [ ] |
Worked example A (fully solved): reading Avelin's economy
Setting (fictional). Northfield Outdoor Co. is considering opening a store cluster in the Republic of Avelin and asks you for a one-page macro read. Amounts are AVL billions unless stated.
Step 1: GDP from the expenditure side (year 2, current prices).
| Component | AVL bn | Share of GDP | Excel |
|---|---|---|---|
| Consumption C | 14,200 | 69.3% | =B2/B$8 |
| Investment I | 3,900 | 19.0% | |
| Government purchases G | 3,100 | 15.1% | |
| Exports X | 2,600 | ||
| Imports M | 3,300 | ||
| Net exports X - M | -700 | -3.4% | =B5-B6 |
| GDP Y | 20,500 | 100% | =B2+B3+B4+(B5-B6) |
Consumption is about seven tenths of output, so household demand, the main driver of a retailer's sales, is the component to watch. Avelin runs a trade deficit of 3.4% of GDP.
Step 2: real versus nominal growth. Year 1 nominal GDP was AVL 19,800 bn and year 1 is the deflator base (100). The year 2 deflator is 103.0.
- Nominal growth: . Excel
=20500/19800-1. - Real GDP year 2: . Excel
=20500/(103/100). - Real growth: . Excel
=(20500/1.03)/19800-1. - Check with the approximation: , close to the exact 0.52%.
The headline "the economy grew 3.5%" would be wrong: real output barely grew.
Step 3: consumer price inflation from a basket. A simplified urban basket uses base-year quantities.
| Item | Base quantity | Base price (AVL) | Current price (AVL) |
|---|---|---|---|
| Food (units) | 120 | 2.50 | 2.70 |
| Transport (trips) | 40 | 3.00 | 3.15 |
| Rent (months) | 10 | 900.00 | 927.00 |
- Basket cost: base 9,420, current 9,720. Excel
=SUMPRODUCT(B2:B4,C2:C4)and=SUMPRODUCT(B2:B4,D2:D4). - , so inflation is 3.18%. Excel
=SUMPRODUCT(B2:B4,D2:D4)/SUMPRODUCT(B2:B4,C2:C4)*100.
Rent dominates the basket, so housing costs drive the result. Real CPIs use thousands of items with expenditure weights.
Step 4: labour market (thousands of people). Employed 9,120; unemployed 480; working-age population 15,000.
- Labour force: 9,600. Excel
=9120+480. - Unemployment rate: . Excel
=480/(9120+480). - Participation rate: ; employment-to-population ratio 60.80%.
Step 5: real interest rate. The policy rate is 4.75%; one-year bank lending is at 5.25% and expected inflation is 3.0%.
- Approximate real lending rate: .
- Exact: . Excel
=(1+5.25%)/(1+3%)-1.
Step 6: the Taylor rule benchmark. Inflation over the past four quarters is 3.4%, the central bank's estimate of the output gap is -0.8% (output below potential), the target is 2% and, as in Taylor (1993), .
Excel: =rstar+pi+0.5*(pi-pistar)+0.5*gap, here =2+3.4+0.5*(3.4-2)+0.5*(-0.8) = 5.70.
The actual policy rate (4.75%) is 0.95 points below the rule. Before concluding that "policy is too loose", vary the unobserved inputs:
| Assumption | Rule rate | Excel |
|---|---|---|
| (Taylor 1993) | 5.70% | =2+3.4+0.5*1.4+0.5*-0.8 |
| 4.70% | =1+3.4+0.5*1.4+0.5*-0.8 | |
| 4.20% | =0.5+3.4+0.5*1.4+0.5*-0.8 | |
| , output-gap weight 1.0 | 5.30% | =2+3.4+0.5*1.4+1*-0.8 |
With a lower neutral rate, which many central banks' published estimates have suggested since the 2010s, the actual rate is close to the rule. The honest conclusion: policy is roughly in line with a Taylor benchmark, and the direction of the next move depends on whether inflation keeps falling.
Step 7: the yield curve. Avelin government yields on two dates:
| Maturity | Date 1 | Date 2 |
|---|---|---|
| 3 months | 5.30% | 3.90% |
| 2 years | 4.70% | 3.75% |
| 5 years | 4.35% | 3.95% |
| 10 years | 4.30% | 4.30% |
| 30 years | 4.45% | 4.70% |
| 10y - 3m spread | -100 bp | +40 bp |
| 10y - 2y spread | -40 bp | +55 bp |
Excel for the spread in basis points: =(B5-B2)*10000 with yields stored as percentages (4.30% = 0.043).
On date 1 the curve is inverted at the front: markets expected policy rates to fall, a pattern that in US data has preceded most recessions since the late 1960s (Estrella and Hardouvelis 1991), with long and variable lead times. On date 2 the curve slopes upward with a small dip at two years.
Step 8: the PMI. Avelin's manufacturing survey asks purchasing managers whether each item is higher, the same or lower than last month (supplier deliveries: slower counts as the "higher" answer because slower deliveries usually signal strong demand).
| Sub-index | % higher | % same | % lower | Diffusion index | Excel |
|---|---|---|---|---|---|
| New orders | 34 | 48 | 18 | 58.0 | =B2+0.5*C2 |
| Production | 30 | 52 | 18 | 56.0 | |
| Employment | 22 | 58 | 20 | 51.0 | |
| Supplier deliveries (slower) | 20 | 70 | 10 | 55.0 | |
| Inventories | 18 | 60 | 22 | 48.0 | |
| Composite PMI | 53.6 | =AVERAGE(E2:E6) |
Above 50 means more firms report expansion than contraction. New orders lead the composite, a good sign for the next few months; falling inventories suggest restocking ahead.
Memo line for Northfield. "Avelin's real economy is almost flat (0.5% real growth) while inflation is above 3%, unemployment is 5.0%, the PMI points to a manufacturing pick-up and the curve has re-steepened. Plan volumes cautiously, budget 3% to 3.5% cost inflation and assume financing costs near current levels; revisit after the next two GDP releases."
Worked example B (half solved): a second economy
Setting (fictional). The Republic of Merovia reports (amounts in billions of its currency): C = 8,150, I = 2,240, G = 1,910, X = 1,720, M = 1,530. Last year's nominal GDP was 12,050 (base year, deflator 100). This year's deflator is 104.5. Inflation over four quarters is 1.6% and the output gap is +1.2%. The 3-month yield is 3.65% and the 10-year yield is 3.10%.
- Net exports = [ ]. GDP = [ ]. Excel
=8150+2240+1910+(1720-1530). - Nominal growth = [ ]%. Excel
=[GDP]/12050-1. - Real GDP this year = [ ]; real growth = [ ]%. Excel
=[GDP]/1.045/12050-1. - In one sentence, explain why nominal and real growth have different signs: [ ].
- Taylor rule with , : [ ]%.
- 10y - 3m spread = [ ] bp. What does its sign suggest? [ ].
Exercise C (unsolved)
The Kingdom of Ostrava (fictional) has 5,320 thousand employed, 380 thousand unemployed and a working-age population of 9,400 thousand. Inflation over four quarters is 4.1%, the central bank's output gap estimate is +0.5%, and the central bank publishes a neutral real rate estimate of 1.0%. The policy rate is 4.00%.
- Compute the labour force, the unemployment rate and the participation rate.
- Compute the Taylor rule rate with and , and the gap between the policy rate and the rule.
- Compute the ex post real policy rate (exact Fisher) using 4.1% inflation.
- Write a two-sentence memo line for a company that funds its working capital with floating-rate loans in Ostrava.
How managers use it in practice
- Scenario sets, not point forecasts. Northfield's planning team builds base, downside and upside cases from three macro assumptions: real consumption growth, consumer price inflation and the policy rate path. The IMF WEO and the central bank's own projections give a reference range.
- Indexation and contracts. Supplier and lease contracts often index to a named CPI series. Name the exact series and the publication (headline or core, seasonally adjusted or not, first release or revised) in the contract.
- Discount rates. The risk-free rate in a CAPM cost of equity comes from the government yield curve at a maturity
matching the cash flows (
mba/mba-capm-wacc-card). Use the same currency and the same inflation basis as the cash flows: real cash flows with real rates, nominal with nominal. - Recession watch. A dashboard of four leading signals (PMI new orders, initial jobless claims, the 10y-3m spread, credit spreads) reviewed monthly by the finance team, with pre-agreed actions (slow hiring, cut inventory orders) when two or more turn.
- Country comparison. For an entry decision, compare GDP per capita at purchasing power parity, inflation, the
unemployment rate and the current account across candidate markets from one source (World Bank or IMF) so that the
definitions match; see
mba/mba-fx-interest-parity-cardfor the exchange rate side.
Connections to other cards
mba/mba-macroeconomics-guide: the course roadmap that places this card in sessions on growth, inflation and policy.mba/mba-fx-interest-parity-card: interest rate differentials and inflation differentials drive exchange rates.mba/mba-capm-wacc-cardandmba/mba-dcf-valuation-card: the risk-free rate and inflation consistency.mba/mba-demand-elasticity-card: income elasticity links real GDP growth to category demand.academic/stats-time-series-arima: seasonal adjustment, trends and forecasting macro series.
Common mistakes and misconceptions
- Calling nominal growth "growth". Always deflate. A 3.5% nominal rise with 3% inflation is 0.5% real.
- Mixing bases. Comparing US annualised GDP growth with euro area quarter-on-quarter growth makes Europe look four times weaker than it is.
- Reading the identity as causality. "Imports reduce GDP" misreads : imports are subtracted because they were counted in C, I and G.
- Treating CPI, PCE and HICP as interchangeable. The Federal Reserve's 2% goal refers to PCE inflation; the ECB's to HICP. CPI inflation has usually run somewhat above PCE inflation in US data.
- Over-reading one monthly print. Payroll and retail sales numbers are revised; one surprise inside normal revision size is noise.
- Ignoring participation. A falling unemployment rate can reflect people leaving the labour force.
- Reading a PMI level as a growth rate. A PMI of 53.6 says more firms reported expansion; it does not say output grew 3.6%.
- Treating the Taylor rule as a forecast. It is a benchmark that depends on unobserved and potential output; show a range.
- Assuming an inverted curve dates the recession. Lead times have ranged widely, and term premiums can distort the signal.
- Copying from news articles. Use the agency release or FRED with the series ID and vintage, so that the number can be checked and refreshed.
Self-test
- Write the expenditure identity and explain why imports are subtracted.
- Nominal GDP rises from 500 to 530 and the deflator from 100 to 104. Compute real growth.
- Name two differences between the CPI and the PCE price index.
- A country has 40 million employed and 2 million unemployed. 1 million discouraged workers stop searching. What happens to the measured unemployment rate?
- A euro area GDP release shows 0.3% quarter-on-quarter. What is the annualised rate?
- Using Taylor (1993) parameters, compute the rule rate for inflation of 2.0% and an output gap of 0.
- Why is the Taylor rule result uncertain even when inflation is measured precisely?
- What does a negative 10y-3m spread mean, and why might it signal a slowdown?
- A PMI sub-index has 25% higher, 50% same, 25% lower. What is its diffusion index?
- Which official source would you use for euro area HICP, and which for a long series of GDP per capita across 150 countries?
My notes and next steps
| Date | Note or question | Next step |
|---|---|---|
| YYYY-MM-DD | Example: I did not know US GDP growth is annualised | Convert the last four US and euro area GDP prints to the same basis |
| YYYY-MM-DD | [ ] | [ ] |
Sources and further reading
Primary works:
- Taylor, J. B. (1993). Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy, 39, 195-214.
- Fisher, I. (1930). The Theory of Interest. Macmillan.
- Okun, A. M. (1962). Potential GNP: its measurement and significance. Proceedings of the Business and Economic Statistics Section, American Statistical Association, 98-104.
- Phillips, A. W. (1958). The relation between unemployment and the rate of change of money wage rates in the United Kingdom, 1861-1957. Economica, 25(100), 283-299.
- Estrella, A. and Hardouvelis, G. A. (1991). The term structure as a predictor of real economic activity. Journal of Finance, 46(2), 555-576.
- Estrella, A. and Mishkin, F. S. (1998). Predicting U.S. recessions: financial variables as leading indicators. Review of Economics and Statistics, 80(1), 45-61.
Official methodology and data (checked 2026-10-28): BEA (bea.gov), BLS (bls.gov), FRED (fred.stlouisfed.org), Federal Reserve Board, 2025 Statement on Longer-Run Goals and Monetary Policy Strategy (federalreserve.gov), Eurostat (ec.europa.eu/eurostat), ECB (ecb.europa.eu, press release of 30 June 2025 on the strategy assessment), IMF World Economic Outlook (imf.org), World Bank World Development Indicators (data.worldbank.org), and the System of National Accounts (unstats.un.org: the UN Statistical Commission adopted SNA 2025 on 5 March 2025, and countries move to it over several years, so check which edition your source country applies).
Textbooks (further reading): Mankiw, Macroeconomics; Blanchard, Macroeconomics; Abel, Bernanke and Croushore, Macroeconomics. Open resource: OpenStax, Principles of Macroeconomics 3e (CC BY-NC-SA 4.0), openstax.org.
Answer key
Worked example B. (1) Net exports = 190; GDP = 12,490. (2) Nominal growth = 12,490 / 12,050 - 1 = 3.65%. (3) Real GDP = 12,490 / 1.045 = 11,952.2; real growth = 11,952.2 / 12,050 - 1 = -0.81%. (4) Prices rose 4.5%, more than nominal spending (3.65%), so the volume of output fell. (5) 2 + 1.6 - 0.2 + 0.6 = 4.00%. (6) 3.10 - 3.65 = -55 bp; an inverted front end suggests markets expect policy rates to fall, often a sign of expected slowing, though with output above potential the central bank may still hold rates for a while.
Exercise C. (1) Labour force 5,700 thousand; unemployment rate 380 / 5,700 = 6.67%; participation 5,700 / 9,400 = 60.64%. (2) Rule rate = 1.0 + 4.1 + 0.5(2.1) + 0.5(0.5) = 6.40%; the policy rate of 4.00% is 2.40 points below the rule. (3) Real ex post rate = 1.04 / 1.041 - 1 = -0.096%, about zero. (4) Example: "Policy in Ostrava is loose against a Taylor benchmark with inflation above 4%, so further rate rises are a real risk. Model working-capital interest at the current rate plus 1 to 2 points and consider fixing part of the borrowing."
Self-test.
- . Spending on imported goods is already inside C, I and G; subtracting M removes output produced abroad so that Y counts only domestic production.
- Real GDP = 530 / 1.04 = 509.6; real growth = 1.92%.
- Scope (PCE includes spending on behalf of households, such as employer-paid health insurance), weights (PCE weights update each period; CPI uses a basket updated less often) and formula (chained index for PCE).
- The labour force falls from 42 to 41 million, unemployed fall from 2 to 1 million (if all 1 million came from the unemployed), so the rate falls from 4.76% to 2.44% although nobody found a job.
- .
- 2 + 2 + 0.5(0) + 0.5(0) = 4.0%.
- The neutral real rate and potential output are unobserved estimates; a one-point change in moves the rule one-for-one.
- Short-term yields exceed long-term yields: markets expect short rates to fall, usually because they expect weaker growth and inflation; tight current policy can also slow credit.
- 25 + 0.5 x 50 = 50: no change on balance.
- Eurostat (HICP, with the flash estimate); World Bank World Development Indicators (or the IMF WEO database).
Revision history
| Version | Date | Author | Change summary |
|---|---|---|---|
| 0.1 | YYYY-MM-DD | [Your name] | First draft from the template |
| 0.2 | YYYY-MM-DD | [Your name] | Example: Replaced Avelin data with the latest US and euro area releases |
Standard and licence note
Based on the expenditure definition of GDP in the System of National Accounts, the Taylor rule as published in Taylor (1993), the Fisher relation, and the official methodology and release pages of BEA, BLS, the Federal Reserve, FRED, Eurostat, the ECB, the IMF and the World Bank, checked on 2026-10-28 and summarised in original words. The text, examples and data are original and fictional; they are not affiliated with or endorsed by any school, agency or publisher. Release calendars, series and policy frameworks change: check the current official pages before you rely on any statement here. This is learning material, not investment advice. Template licence: MIT.
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