Leading Economic Indicators vs Coincident Indicator
Leading Economic Indicators and Coincident Indicator are two Economic Indicators & Data concepts in AP Economics that students often mix up. Leading economic indicators are data that tend to change before the overall economy does, helping forecast future activity. Coincident indicators are series that rise and fall roughly in step with the overall economy, so they describe where the business cycle stands now. Here is how they compare side by side.
Examples include stock prices, new building permits, manufacturing orders, and consumer expectations. Economists watch them to anticipate expansions or recessions. They contrast with lagging indicators, which confirm trends after the fact.
Coincident indicators move at about the same time as the broader economy, so they describe the present state of activity rather than the future or the past. The four standard series are nonfarm payroll employment, real personal income excluding transfer payments, industrial production, and real manufacturing and trade sales, which The Conference Board combines into a coincident index. Because the committees that date recessions want to know when activity actually peaked, these are the series they lean on alongside GDP. A coincident indicator still gets revised after publication, so the picture of the present keeps changing as fuller data arrives. The difference from a leading indicator is timing, not quality: coincident series are usually measured more accurately, they simply give no advance warning.
Leading vs Coincident Indicators: Predicting the Turn or Confirming It
| Leading Economic Indicators | Coincident Indicators | |
|---|---|---|
| Timing against the cycle | Turn before the wider economy does | Turn at roughly the same time as the economy |
| Question answered | Where is the economy heading | Where is the economy right now |
| Typical members | Building permits, new orders, share prices, the yield curve spread | Payroll employment, industrial production, real income, real sales |
| Reliability | Noisy, and false alarms are common | High, but only about the present |
| Use in dating a downturn | Hints that one may be coming | Used to mark when the downturn actually began |
| What a policymaker does with it | Acts early, accepting the risk that the signal was wrong | Confirms that a step already taken was warranted |
One index is a forecast and the other is a measurement
The two series are built from different raw material, and the choice follows from what each is for. Leading indicators are mostly commitments about the future: a building permit is a decision to start construction later, a new factory order is production that has not happened yet, and the gap between long and short interest rates is the bond market's view of what is coming. Coincident indicators are records of what has already happened: people on payrolls, output from factories, goods actually sold. Illustrative arithmetic shows how they read in practice. Suppose a leading index stands at 105.0 and falls over three months to 103.4. That is a drop of 1.6 index points on a base of 105, which is about 1.5 percent, and a common rule of thumb treats three consecutive monthly declines as a warning worth acting on. Through the same three months payroll employment can still be rising, because firms cut orders before they cut staff. The lag between those two facts is the entire reason both indexes are published. The series that confirm a trend only after it has run are described at /glossary/lagging-indicators.
The cost of a false alarm is what separates their users
A leading index is wrong reasonably often, and it is worth being honest about the pattern: it signals more downturns than actually arrive. That is not a defect so much as a consequence of what it is doing, since a series sensitive enough to move before the economy will also move when nothing follows. Whether that matters depends on who is reading it. A central bank that must act a year ahead of the effect it wants has no choice but to work from leading signals and accept some false alarms, because waiting for confirmation guarantees the policy arrives late. A committee whose job is to declare when a downturn began has the opposite incentive and works from coincident series, since an announcement that has to be retracted is worse than one that comes late. A business planner sits in between, watching orders and permits to schedule hiring while checking sales and payrolls to confirm. The point for an exam answer is that neither index is more accurate in the abstract. They trade timeliness against certainty, and the right trade depends on the decision. Where these turning points fall is set out at /macro/business-cycle.
Frequently asked questions
What is the difference between leading and coincident indicators?
Leading indicators change before the overall economy does, so they are used to forecast, while coincident indicators change at the same time as the economy, so they are used to describe where the business cycle stands right now. Building permits and new orders lead; payroll employment and industrial production coincide.
Is the stock market a leading indicator?
It is treated as one, because share prices reflect expectations of future profits and tend to turn before output and employment do. It is also among the noisiest, since prices move for reasons unrelated to the economy, which is why it is used as one component of a broader index rather than on its own.
Why do forecasters use an index instead of a single series?
Because any single series contains a lot of noise, and combining several averages much of that out. A composite also guards against a false signal from one industry, since a genuine turn in the cycle shows up in permits, orders, hours and interest rate spreads together rather than in just one of them.
Live Business Cycle graph. Drag the curves, or open the full version.
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