Past-Present-Future Economic Dashboard
Read GDP, employment, and housing together across the economic timeline
- Difficulty
- Easy
- Time to result
- ~weeks to results
- Steps
- 5
- Confidence
- 96%
The framework assigns major economic releases to distinct time horizons rather than expecting one indicator to explain everything. GDP provides a backward-looking account of economic output, although revisions limit its immediacy. Employment reports and the unemployment rate offer a more current reading because they arrive monthly and directly reflect labor-market conditions. Housing starts and new home sales can provide a forward-looking signal because sustained construction and sales activity support future economic demand, while sharp declines can precede recessions. The analyst then watches secondary releases for meaningful deviations from this baseline. Surprises matter because they reveal that the economy is no longer tracking the expected path. No component is treated as infallible, so conclusions must account for exceptional conditions such as pandemic-related distortions.
Origin
Bill McBride described the major releases he follows, and Barry Riddelts synthesized them as a past-present-future view of the economy. Extracted from Masters in Business.
Core principles
- 01Use different indicators for different time horizons
- 02Favor observed data over forecasts and opinions
- 03Treat employment as a view of current conditions
- 04Use housing activity as an imperfect leading indicator
- 05Revise conclusions when data diverges from expectations
How to run it
- 1
Establish the recent record
Review GDP to understand the economy's recent output trajectory. Account for its quarterly frequency and tendency to receive substantial revisions.
Pro tip Compare successive estimates instead of relying only on the first release.
Watch out Do not mistake a revised historical measure for a real-time signal.
- 2
Measure current conditions
Use the monthly unemployment rate and payroll report to determine how the economy is performing now. Look at direction and persistence rather than reacting to one noisy month.
Pro tip Read unemployment and payroll growth together for a more balanced labor-market view.
Watch out Monthly employment estimates can also be revised.
- 3
Scan the horizon
Track housing starts and new home sales for evidence of future economic strength or weakness. Sustained increases generally support continued expansion, while sharp decreases warrant closer recession monitoring.
Pro tip Distinguish a persistent trend from a short-lived disruption.
Watch out Housing signals can fail when unusual events distort supply or activity.
- 4
Investigate surprises
Monitor other releases for results that do not fit the dashboard's expected trajectory. Use material divergences as prompts to investigate and potentially update the economic view.
Pro tip Record what you expected before each important release so genuine surprises are visible.
Watch out Do not redefine expectations after seeing the result.
- 5
Apply a distortion check
Ask whether structural disruptions, supply constraints, policy interventions, or other exceptional conditions explain an indicator's movement. Reduce confidence when its normal economic mechanism has been interrupted.
Pro tip Cross-check the suspected distortion against related sectors.
Watch out Never assume a historically useful indicator is universally reliable.
In the wild
An investor sees quarterly GDP slowing, but unemployment remains low and payrolls continue growing. Housing starts have fallen sharply, so the dashboard indicates stable current conditions with increased future risk rather than an economy already in recession. The investor intensifies monitoring instead of making an immediate all-or-nothing portfolio shift.
→ The investor separates present resilience from emerging forward risk.
Housing and automobile activity decline during a period of severe supply constraints. Before interpreting those declines as collapsing demand, the analyst checks inventories, production bottlenecks, and subsequent supply normalization. The evidence shows that normal leading-indicator relationships are temporarily distorted.
→ The analyst avoids a false recession call caused by exceptional conditions.
Common mistakes
Making one indicator do every job
GDP, employment, and housing describe different time horizons. Treating any one of them as a complete economic model obscures important differences between past, current, and potential future conditions.
Treating a signal as a certainty
Housing activity has predictive value, but the relationship is not perfect. Exceptional disruptions can break its usual connection to the business cycle.
Ignoring unexpected divergences
Secondary indicators become valuable when they stop tracking the baseline view. Dismissing those surprises prevents timely updates to the analysis.
Is it for you?
Best for
It is best for investors and analysts who want a small, repeatable macroeconomic dashboard.
Not ideal for
It is not ideal for precise market timing or forecasting shocks that are absent from current data.
From the transcript
“I like the concept of GDP unemployment and housing starts as past, present and future.”
“The Employment Report actually tells you the best what's happening now.”
“if new home sales and housing starts are increasing, the economy is going to be fine for the next few years. If they decrease sharply,…”
From the episode
At the Money: What Data Matters and What Doesn't