Shock transmission models
Vector autoregressions and local projections estimate how commodity, financial and demand shocks affect output, inflation and public finances over time.
GCRI · Economic Development
Econometrics estimates economic relationships from data. In this field it measures how shocks transmit, how policies affect outcomes and how variables move together over time, with uncertainty and model assumptions stated.
Econometrics applies statistical methods to economic data to estimate relationships, test theories and forecast. It provides empirical evidence on how shocks and policies affect economic outcomes. In economic development and development finance, econometric evidence estimates how disasters, pandemics and financial shocks affect output, employment and prices. It informs the economic case for risk reduction. The canonical description is on the STEM Commons.
Vector autoregressions and local projections estimate how commodity, financial and demand shocks affect output, inflation and public finances over time.
Panel methods compare countries over time to estimate relationships while controlling for fixed differences between them.
Night lights, mobile data and other high-frequency indicators are combined with published statistics to estimate current activity where data are lagged.
Two stocks, pressure and adaptive capacity, joined by a reinforcing growth loop, a delayed balancing response and damage when pressure outruns capacity; past the threshold the system can tip. Teaching model with stated illustrative values, not a prediction.
Controls
Readouts
| Year | Pressure | Capacity | Perceived |
|---|---|---|---|
| 0 | 20.0 | 50.0 | 20.0 |
| 4 | 23.3 | 44.9 | 21.2 |
| 8 | 27.2 | 42.2 | 24.0 |
| 12 | 31.7 | 42.3 | 27.7 |
| 16 | 36.8 | 45.5 | 32.2 |
| 20 | 42.3 | 51.5 | 37.2 |
| 24 | 47.9 | 60.3 | 42.6 |
| 28 | 53.2 | 71.3 | 48.0 |
| 32 | 57.8 | 84.3 | 53.1 |
| 36 | 66.4 | 98.4 | 58.4 |
| 40 | 82.7 | 115.9 | 69.7 |
| 44 | 97.8 | 139.7 | 83.8 |
| 48 | 109.1 | 169.4 | 97.3 |
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme's own evidence.
Across the six pillars, led by Nexus Consortium
Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Data | Role | Label |
|---|---|---|
| Macroeconomic time series | Transmission | Published statistics |
| Cross-country panels | Comparison | Published statistics |
| High-frequency proxies | Nowcasting | OBSERVED |
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
Which inputs move the result for econometrics for development most, one at a time across their stated ranges.
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
| Check | How it is done |
|---|---|
| Specification robustness | Results are tested across model specifications and samples |
| Out-of-sample evaluation | Nowcasts are evaluated against later published data |
| Diagnostic tests | Models are tested for autocorrelation, stability and other assumptions |
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
Economic Development stewards econometrics for the Consortium and reviews how it is applied across platforms.
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