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---------

Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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---
title: granger
description: This is a documentation page for Granger causality command in econometrics.
The command is used for analyzing the cause between two-time series. The page also
provides usage examples and parameters detail.
keywords:
- Granger causality
- time series analysis
- Econometrics
- Command documentation
- Statistical command
---
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
<HeadTitle title="econometrics /granger - Reference | OpenBB Terminal Docs" />
Show Granger causality between two timeseries
### Usage
```python
granger [-t Available time series] [-l LAGS] [-c CONFIDENCE]
```
---
## Parameters
| Name | Description | Default | Optional | Choices |
| ---- | ----------- | ------- | -------- | ------- |
| ts | Requires two time series, the first time series is assumed to be Granger-caused by the second time series. | None | True | None |
| lags | How many lags should be included | 3 | True | None |
| confidence | Set the confidence level | 0.05 | True | None |
---
## Examples
```python
2022 Jun 01, 06:35 (🦋) /econometrics/ $ load strikes
2022 Jun 01, 06:36 (🦋) /econometrics/ $ granger strikes.duration,strikes.iprod
Granger Causality Test [Y: strikes.duration | X: strikes.iprod | Lags: 3]
┏━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━┳━━━━━━┓
┃ ┃ F-test ┃ P-value ┃ Count ┃ Lags ┃
┡━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━╇━━━━━━┩
│ ssr_ftest │ 0.81 │ 0.49 │ 52.00 │ 3.00 │
├──────────────┼────────┼─────────┼───────┼──────┤
│ ssr_chi2test │ 2.75 │ 0.43 │ - │ 3 │
├──────────────┼────────┼─────────┼───────┼──────┤
│ lrtest │ 2.69 │ 0.44 │ - │ 3 │
├──────────────┼────────┼─────────┼───────┼──────┤
│ params_ftest │ 0.81 │ 0.49 │ 52.00 │ 3.00 │
└──────────────┴────────┴─────────┴───────┴──────┘
As the p-value of the F-test is 0.495, we can not reject the null hypothesis at the 0.05 confidence level.
```
---