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| icon: microblog | |
| description: >- | |
| A ticker matched lobbying data to see fine-grained corporate lobbying | |
| behaviour. | |
| # Lobbying Data | |
| > **Data Notice**: This dataset provides academic research access with a 6-month data lag. | |
| > For real-time data access, please visit [sov.ai](https://sov.ai) to subscribe. | |
| > For market insights and additional subscription options, check out our newsletter at [blog.sov.ai](https://blog.sov.ai). | |
| ```python | |
| from datasets import load_dataset | |
| df_lobbying = load_dataset("sovai/lobbying_data", split="train").to_pandas().set_index(["ticker","date"]) | |
| ``` | |
| Data is updated weekly as data arrives after market close US-EST time. | |
| `Tutorials` are the best documentation — [<mark style="color:blue;">`Lobbying Data Tutorial`</mark>](https://colab.research.google.com/github/sovai-research/sovai-public/blob/main/notebooks/datasets/Lobbying%20Analysis.ipynb) | |
| <table data-column-title-hidden data-view="cards"><thead><tr><th>Category</th><th>Details</th></tr></thead><tbody><tr><td><strong>Input Datasets</strong></td><td>Lobbying Filings</td></tr><tr><td><strong>Models Used</strong></td><td>Parsing, Scraping</td></tr><tr><td><strong>Model Outputs</strong></td><td>Lobbying Data</td></tr></tbody></table> | |
| ## Description | |
| This dataset provides detailed information on corporate lobbying activities, including spending amounts, issues lobbied, and involved entities for various companies.  | |
| It offers investors, researchers, and policymakers valuable insights into corporate influence on policy-making, regulatory trends, and potential political risks, enabling more informed decision-making in areas like ESG investing, competitive analysis, and public policy research. | |
| *** | |
| ## Data Access | |
| #### Lobbying Dataset | |
| The Lobbying dataset provides detailed information on lobbying activities, including client information, spending, and lobbying issues for various companies. | |
| <pre class="language-python"><code class="lang-python"><strong>import sovai as sov | |
| </strong><strong>df_lobbying = sov.data("lobbying/public") | |
| </strong></code></pre> | |
| #### Accessing Specific Tickers | |
| You can also retrieve data for specific tickers. For example: | |
| ```python | |
| df_ticker_lobbying = sov.data("lobbying/public", tickers=["WFC", "EXPGY"]) | |
| ``` | |
| This documentation provides a clear guide on how to access the dataset, and can be easily extended or modified as needed for additional details. | |
| ## Data Dictionary | |
| | Column Name | Description | | |
| | --------------------------------- | ----------------------------------------------------------------------- | | |
| | client | Name of the client company | | |
| | client\_description | Description of the client's business | | |
| | spend | Amount spent on lobbying | | |
| | transaction\_type | Type of transaction (e.g., lobbying\_income, direct\_lobbying\_expense) | | |
| | filing\_type | Type of filing | | |
| | lobby\_description | Description of lobbying activities | | |
| | issue\_codes | Codes representing the issues lobbied on | | |
| | government\_entity\_details | Government entities involved | | |
| | quarter | Quarter of the lobbying activity | | |
| | effective\_date | Start date of the lobbying activity | | |
| | termination\_date | End date of the lobbying activity (if applicable) | | |
| | client\_state | State of the client | | |
| | client\_country | Country of the client | | |
| | client\_id | Unique identifier for the client | | |
| | government\_lobby | Indicator for government lobbying | | |
| | performing\_own\_lobbying | Indicator if the client is performing their own lobbying | | |
| | registrant\_dt\_updated | Date the registrant information was updated | | |
| | registrant\_name | Name of the lobbying registrant | | |
| | registrant\_address | Address of the lobbying registrant | | |
| | registrant\_id | Unique identifier for the registrant | | |
| | registrant\_description | Description of the registrant | | |
| | registrant\_contact\_name | Contact name for the registrant | | |
| | registrant\_house\_registrant\_id | House ID for the registrant | | |
| | registrant\_contact\_telephone | Contact telephone for the registrant | | |
| | lobbyist\_full\_names | Names of the lobbyists involved | | |
| | lobbyist\_ids | Unique identifiers for the lobbyists | | |
| | previous\_goverment\_positions | Previous government positions held by lobbyists | | |
| | lobbyist\_new\_statuses | New status indicators for lobbyists | | |
| | client\_url | URL for client information | | |
| | registrant\_url | URL for registrant information | | |
| | filing\_url | URL for the filing | | |
| | filing\_id | Unique identifier for the filing | | |
| | unique\_id | Unique identifier for the record | | |
| | match | Matched client name | | |
| | date\_time | Date and time of the record | | |
| | ticker | Stock ticker symbol of the client company | | |
| | date | Date of the lobbying activity | | |
| ## Use Cases | |
| 1. Corporate Influence Analysis: Examine how companies allocate resources to influence policy-making. | |
| 2. Sector Trends: Identify trends in lobbying activities across different sectors or industries. | |
| 3. Regulatory Impact Assessment: Analyze the relationship between lobbying efforts and regulatory outcomes. | |
| 4. ESG Research: Incorporate lobbying data into Environmental, Social, and Governance (ESG) assessments. | |
| 5. Political Risk Analysis: Evaluate potential political risks for companies based on their lobbying activities. | |
| 6. Corporate Strategy Insights: Gain insights into companies' strategic priorities by analyzing their lobbying focus areas. | |
| 7. Competitive Intelligence: Compare lobbying activities among competitors in the same industry. | |
| 8. Public Policy Research: Study the influence of corporate lobbying on public policy development. | |
| 9. Investor Due Diligence: Provide additional context for investor research and due diligence processes. | |
| 10. Transparency Reporting: Support corporate transparency initiatives by analyzing and reporting on lobbying activities.  | |
| This dataset forms a comprehensive resource for analyzing corporate lobbying activities, enabling detailed examination of spending patterns, issue focus, and potential policy influences across different companies and sectors. | |
| *** | |